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Research Report – Example, Writing Guide and Types

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Research Report

Research Report

Definition:

Research Report is a written document that presents the results of a research project or study, including the research question, methodology, results, and conclusions, in a clear and objective manner.

The purpose of a research report is to communicate the findings of the research to the intended audience, which could be other researchers, stakeholders, or the general public.

Components of Research Report

Components of Research Report are as follows:

Introduction

The introduction sets the stage for the research report and provides a brief overview of the research question or problem being investigated. It should include a clear statement of the purpose of the study and its significance or relevance to the field of research. It may also provide background information or a literature review to help contextualize the research.

Literature Review

The literature review provides a critical analysis and synthesis of the existing research and scholarship relevant to the research question or problem. It should identify the gaps, inconsistencies, and contradictions in the literature and show how the current study addresses these issues. The literature review also establishes the theoretical framework or conceptual model that guides the research.

Methodology

The methodology section describes the research design, methods, and procedures used to collect and analyze data. It should include information on the sample or participants, data collection instruments, data collection procedures, and data analysis techniques. The methodology should be clear and detailed enough to allow other researchers to replicate the study.

The results section presents the findings of the study in a clear and objective manner. It should provide a detailed description of the data and statistics used to answer the research question or test the hypothesis. Tables, graphs, and figures may be included to help visualize the data and illustrate the key findings.

The discussion section interprets the results of the study and explains their significance or relevance to the research question or problem. It should also compare the current findings with those of previous studies and identify the implications for future research or practice. The discussion should be based on the results presented in the previous section and should avoid speculation or unfounded conclusions.

The conclusion summarizes the key findings of the study and restates the main argument or thesis presented in the introduction. It should also provide a brief overview of the contributions of the study to the field of research and the implications for practice or policy.

The references section lists all the sources cited in the research report, following a specific citation style, such as APA or MLA.

The appendices section includes any additional material, such as data tables, figures, or instruments used in the study, that could not be included in the main text due to space limitations.

Types of Research Report

Types of Research Report are as follows:

Thesis is a type of research report. A thesis is a long-form research document that presents the findings and conclusions of an original research study conducted by a student as part of a graduate or postgraduate program. It is typically written by a student pursuing a higher degree, such as a Master’s or Doctoral degree, although it can also be written by researchers or scholars in other fields.

Research Paper

Research paper is a type of research report. A research paper is a document that presents the results of a research study or investigation. Research papers can be written in a variety of fields, including science, social science, humanities, and business. They typically follow a standard format that includes an introduction, literature review, methodology, results, discussion, and conclusion sections.

Technical Report

A technical report is a detailed report that provides information about a specific technical or scientific problem or project. Technical reports are often used in engineering, science, and other technical fields to document research and development work.

Progress Report

A progress report provides an update on the progress of a research project or program over a specific period of time. Progress reports are typically used to communicate the status of a project to stakeholders, funders, or project managers.

Feasibility Report

A feasibility report assesses the feasibility of a proposed project or plan, providing an analysis of the potential risks, benefits, and costs associated with the project. Feasibility reports are often used in business, engineering, and other fields to determine the viability of a project before it is undertaken.

Field Report

A field report documents observations and findings from fieldwork, which is research conducted in the natural environment or setting. Field reports are often used in anthropology, ecology, and other social and natural sciences.

Experimental Report

An experimental report documents the results of a scientific experiment, including the hypothesis, methods, results, and conclusions. Experimental reports are often used in biology, chemistry, and other sciences to communicate the results of laboratory experiments.

Case Study Report

A case study report provides an in-depth analysis of a specific case or situation, often used in psychology, social work, and other fields to document and understand complex cases or phenomena.

Literature Review Report

A literature review report synthesizes and summarizes existing research on a specific topic, providing an overview of the current state of knowledge on the subject. Literature review reports are often used in social sciences, education, and other fields to identify gaps in the literature and guide future research.

Research Report Example

Following is a Research Report Example sample for Students:

Title: The Impact of Social Media on Academic Performance among High School Students

This study aims to investigate the relationship between social media use and academic performance among high school students. The study utilized a quantitative research design, which involved a survey questionnaire administered to a sample of 200 high school students. The findings indicate that there is a negative correlation between social media use and academic performance, suggesting that excessive social media use can lead to poor academic performance among high school students. The results of this study have important implications for educators, parents, and policymakers, as they highlight the need for strategies that can help students balance their social media use and academic responsibilities.

Introduction:

Social media has become an integral part of the lives of high school students. With the widespread use of social media platforms such as Facebook, Twitter, Instagram, and Snapchat, students can connect with friends, share photos and videos, and engage in discussions on a range of topics. While social media offers many benefits, concerns have been raised about its impact on academic performance. Many studies have found a negative correlation between social media use and academic performance among high school students (Kirschner & Karpinski, 2010; Paul, Baker, & Cochran, 2012).

Given the growing importance of social media in the lives of high school students, it is important to investigate its impact on academic performance. This study aims to address this gap by examining the relationship between social media use and academic performance among high school students.

Methodology:

The study utilized a quantitative research design, which involved a survey questionnaire administered to a sample of 200 high school students. The questionnaire was developed based on previous studies and was designed to measure the frequency and duration of social media use, as well as academic performance.

The participants were selected using a convenience sampling technique, and the survey questionnaire was distributed in the classroom during regular school hours. The data collected were analyzed using descriptive statistics and correlation analysis.

The findings indicate that the majority of high school students use social media platforms on a daily basis, with Facebook being the most popular platform. The results also show a negative correlation between social media use and academic performance, suggesting that excessive social media use can lead to poor academic performance among high school students.

Discussion:

The results of this study have important implications for educators, parents, and policymakers. The negative correlation between social media use and academic performance suggests that strategies should be put in place to help students balance their social media use and academic responsibilities. For example, educators could incorporate social media into their teaching strategies to engage students and enhance learning. Parents could limit their children’s social media use and encourage them to prioritize their academic responsibilities. Policymakers could develop guidelines and policies to regulate social media use among high school students.

Conclusion:

In conclusion, this study provides evidence of the negative impact of social media on academic performance among high school students. The findings highlight the need for strategies that can help students balance their social media use and academic responsibilities. Further research is needed to explore the specific mechanisms by which social media use affects academic performance and to develop effective strategies for addressing this issue.

Limitations:

One limitation of this study is the use of convenience sampling, which limits the generalizability of the findings to other populations. Future studies should use random sampling techniques to increase the representativeness of the sample. Another limitation is the use of self-reported measures, which may be subject to social desirability bias. Future studies could use objective measures of social media use and academic performance, such as tracking software and school records.

Implications:

The findings of this study have important implications for educators, parents, and policymakers. Educators could incorporate social media into their teaching strategies to engage students and enhance learning. For example, teachers could use social media platforms to share relevant educational resources and facilitate online discussions. Parents could limit their children’s social media use and encourage them to prioritize their academic responsibilities. They could also engage in open communication with their children to understand their social media use and its impact on their academic performance. Policymakers could develop guidelines and policies to regulate social media use among high school students. For example, schools could implement social media policies that restrict access during class time and encourage responsible use.

References:

  • Kirschner, P. A., & Karpinski, A. C. (2010). Facebook® and academic performance. Computers in Human Behavior, 26(6), 1237-1245.
  • Paul, J. A., Baker, H. M., & Cochran, J. D. (2012). Effect of online social networking on student academic performance. Journal of the Research Center for Educational Technology, 8(1), 1-19.
  • Pantic, I. (2014). Online social networking and mental health. Cyberpsychology, Behavior, and Social Networking, 17(10), 652-657.
  • Rosen, L. D., Carrier, L. M., & Cheever, N. A. (2013). Facebook and texting made me do it: Media-induced task-switching while studying. Computers in Human Behavior, 29(3), 948-958.

Note*: Above mention, Example is just a sample for the students’ guide. Do not directly copy and paste as your College or University assignment. Kindly do some research and Write your own.

Applications of Research Report

Research reports have many applications, including:

  • Communicating research findings: The primary application of a research report is to communicate the results of a study to other researchers, stakeholders, or the general public. The report serves as a way to share new knowledge, insights, and discoveries with others in the field.
  • Informing policy and practice : Research reports can inform policy and practice by providing evidence-based recommendations for decision-makers. For example, a research report on the effectiveness of a new drug could inform regulatory agencies in their decision-making process.
  • Supporting further research: Research reports can provide a foundation for further research in a particular area. Other researchers may use the findings and methodology of a report to develop new research questions or to build on existing research.
  • Evaluating programs and interventions : Research reports can be used to evaluate the effectiveness of programs and interventions in achieving their intended outcomes. For example, a research report on a new educational program could provide evidence of its impact on student performance.
  • Demonstrating impact : Research reports can be used to demonstrate the impact of research funding or to evaluate the success of research projects. By presenting the findings and outcomes of a study, research reports can show the value of research to funders and stakeholders.
  • Enhancing professional development : Research reports can be used to enhance professional development by providing a source of information and learning for researchers and practitioners in a particular field. For example, a research report on a new teaching methodology could provide insights and ideas for educators to incorporate into their own practice.

How to write Research Report

Here are some steps you can follow to write a research report:

  • Identify the research question: The first step in writing a research report is to identify your research question. This will help you focus your research and organize your findings.
  • Conduct research : Once you have identified your research question, you will need to conduct research to gather relevant data and information. This can involve conducting experiments, reviewing literature, or analyzing data.
  • Organize your findings: Once you have gathered all of your data, you will need to organize your findings in a way that is clear and understandable. This can involve creating tables, graphs, or charts to illustrate your results.
  • Write the report: Once you have organized your findings, you can begin writing the report. Start with an introduction that provides background information and explains the purpose of your research. Next, provide a detailed description of your research methods and findings. Finally, summarize your results and draw conclusions based on your findings.
  • Proofread and edit: After you have written your report, be sure to proofread and edit it carefully. Check for grammar and spelling errors, and make sure that your report is well-organized and easy to read.
  • Include a reference list: Be sure to include a list of references that you used in your research. This will give credit to your sources and allow readers to further explore the topic if they choose.
  • Format your report: Finally, format your report according to the guidelines provided by your instructor or organization. This may include formatting requirements for headings, margins, fonts, and spacing.

Purpose of Research Report

The purpose of a research report is to communicate the results of a research study to a specific audience, such as peers in the same field, stakeholders, or the general public. The report provides a detailed description of the research methods, findings, and conclusions.

Some common purposes of a research report include:

  • Sharing knowledge: A research report allows researchers to share their findings and knowledge with others in their field. This helps to advance the field and improve the understanding of a particular topic.
  • Identifying trends: A research report can identify trends and patterns in data, which can help guide future research and inform decision-making.
  • Addressing problems: A research report can provide insights into problems or issues and suggest solutions or recommendations for addressing them.
  • Evaluating programs or interventions : A research report can evaluate the effectiveness of programs or interventions, which can inform decision-making about whether to continue, modify, or discontinue them.
  • Meeting regulatory requirements: In some fields, research reports are required to meet regulatory requirements, such as in the case of drug trials or environmental impact studies.

When to Write Research Report

A research report should be written after completing the research study. This includes collecting data, analyzing the results, and drawing conclusions based on the findings. Once the research is complete, the report should be written in a timely manner while the information is still fresh in the researcher’s mind.

In academic settings, research reports are often required as part of coursework or as part of a thesis or dissertation. In this case, the report should be written according to the guidelines provided by the instructor or institution.

In other settings, such as in industry or government, research reports may be required to inform decision-making or to comply with regulatory requirements. In these cases, the report should be written as soon as possible after the research is completed in order to inform decision-making in a timely manner.

Overall, the timing of when to write a research report depends on the purpose of the research, the expectations of the audience, and any regulatory requirements that need to be met. However, it is important to complete the report in a timely manner while the information is still fresh in the researcher’s mind.

Characteristics of Research Report

There are several characteristics of a research report that distinguish it from other types of writing. These characteristics include:

  • Objective: A research report should be written in an objective and unbiased manner. It should present the facts and findings of the research study without any personal opinions or biases.
  • Systematic: A research report should be written in a systematic manner. It should follow a clear and logical structure, and the information should be presented in a way that is easy to understand and follow.
  • Detailed: A research report should be detailed and comprehensive. It should provide a thorough description of the research methods, results, and conclusions.
  • Accurate : A research report should be accurate and based on sound research methods. The findings and conclusions should be supported by data and evidence.
  • Organized: A research report should be well-organized. It should include headings and subheadings to help the reader navigate the report and understand the main points.
  • Clear and concise: A research report should be written in clear and concise language. The information should be presented in a way that is easy to understand, and unnecessary jargon should be avoided.
  • Citations and references: A research report should include citations and references to support the findings and conclusions. This helps to give credit to other researchers and to provide readers with the opportunity to further explore the topic.

Advantages of Research Report

Research reports have several advantages, including:

  • Communicating research findings: Research reports allow researchers to communicate their findings to a wider audience, including other researchers, stakeholders, and the general public. This helps to disseminate knowledge and advance the understanding of a particular topic.
  • Providing evidence for decision-making : Research reports can provide evidence to inform decision-making, such as in the case of policy-making, program planning, or product development. The findings and conclusions can help guide decisions and improve outcomes.
  • Supporting further research: Research reports can provide a foundation for further research on a particular topic. Other researchers can build on the findings and conclusions of the report, which can lead to further discoveries and advancements in the field.
  • Demonstrating expertise: Research reports can demonstrate the expertise of the researchers and their ability to conduct rigorous and high-quality research. This can be important for securing funding, promotions, and other professional opportunities.
  • Meeting regulatory requirements: In some fields, research reports are required to meet regulatory requirements, such as in the case of drug trials or environmental impact studies. Producing a high-quality research report can help ensure compliance with these requirements.

Limitations of Research Report

Despite their advantages, research reports also have some limitations, including:

  • Time-consuming: Conducting research and writing a report can be a time-consuming process, particularly for large-scale studies. This can limit the frequency and speed of producing research reports.
  • Expensive: Conducting research and producing a report can be expensive, particularly for studies that require specialized equipment, personnel, or data. This can limit the scope and feasibility of some research studies.
  • Limited generalizability: Research studies often focus on a specific population or context, which can limit the generalizability of the findings to other populations or contexts.
  • Potential bias : Researchers may have biases or conflicts of interest that can influence the findings and conclusions of the research study. Additionally, participants may also have biases or may not be representative of the larger population, which can limit the validity and reliability of the findings.
  • Accessibility: Research reports may be written in technical or academic language, which can limit their accessibility to a wider audience. Additionally, some research may be behind paywalls or require specialized access, which can limit the ability of others to read and use the findings.

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Muhammad Hassan

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The Writing Center • University of North Carolina at Chapel Hill

Scientific Reports

What this handout is about.

This handout provides a general guide to writing reports about scientific research you’ve performed. In addition to describing the conventional rules about the format and content of a lab report, we’ll also attempt to convey why these rules exist, so you’ll get a clearer, more dependable idea of how to approach this writing situation. Readers of this handout may also find our handout on writing in the sciences useful.

Background and pre-writing

Why do we write research reports.

You did an experiment or study for your science class, and now you have to write it up for your teacher to review. You feel that you understood the background sufficiently, designed and completed the study effectively, obtained useful data, and can use those data to draw conclusions about a scientific process or principle. But how exactly do you write all that? What is your teacher expecting to see?

To take some of the guesswork out of answering these questions, try to think beyond the classroom setting. In fact, you and your teacher are both part of a scientific community, and the people who participate in this community tend to share the same values. As long as you understand and respect these values, your writing will likely meet the expectations of your audience—including your teacher.

So why are you writing this research report? The practical answer is “Because the teacher assigned it,” but that’s classroom thinking. Generally speaking, people investigating some scientific hypothesis have a responsibility to the rest of the scientific world to report their findings, particularly if these findings add to or contradict previous ideas. The people reading such reports have two primary goals:

  • They want to gather the information presented.
  • They want to know that the findings are legitimate.

Your job as a writer, then, is to fulfill these two goals.

How do I do that?

Good question. Here is the basic format scientists have designed for research reports:

  • Introduction

Methods and Materials

This format, sometimes called “IMRAD,” may take slightly different shapes depending on the discipline or audience; some ask you to include an abstract or separate section for the hypothesis, or call the Discussion section “Conclusions,” or change the order of the sections (some professional and academic journals require the Methods section to appear last). Overall, however, the IMRAD format was devised to represent a textual version of the scientific method.

The scientific method, you’ll probably recall, involves developing a hypothesis, testing it, and deciding whether your findings support the hypothesis. In essence, the format for a research report in the sciences mirrors the scientific method but fleshes out the process a little. Below, you’ll find a table that shows how each written section fits into the scientific method and what additional information it offers the reader.

Thinking of your research report as based on the scientific method, but elaborated in the ways described above, may help you to meet your audience’s expectations successfully. We’re going to proceed by explicitly connecting each section of the lab report to the scientific method, then explaining why and how you need to elaborate that section.

Although this handout takes each section in the order in which it should be presented in the final report, you may for practical reasons decide to compose sections in another order. For example, many writers find that composing their Methods and Results before the other sections helps to clarify their idea of the experiment or study as a whole. You might consider using each assignment to practice different approaches to drafting the report, to find the order that works best for you.

What should I do before drafting the lab report?

The best way to prepare to write the lab report is to make sure that you fully understand everything you need to about the experiment. Obviously, if you don’t quite know what went on during the lab, you’re going to find it difficult to explain the lab satisfactorily to someone else. To make sure you know enough to write the report, complete the following steps:

  • What are we going to do in this lab? (That is, what’s the procedure?)
  • Why are we going to do it that way?
  • What are we hoping to learn from this experiment?
  • Why would we benefit from this knowledge?
  • Consult your lab supervisor as you perform the lab. If you don’t know how to answer one of the questions above, for example, your lab supervisor will probably be able to explain it to you (or, at least, help you figure it out).
  • Plan the steps of the experiment carefully with your lab partners. The less you rush, the more likely it is that you’ll perform the experiment correctly and record your findings accurately. Also, take some time to think about the best way to organize the data before you have to start putting numbers down. If you can design a table to account for the data, that will tend to work much better than jotting results down hurriedly on a scrap piece of paper.
  • Record the data carefully so you get them right. You won’t be able to trust your conclusions if you have the wrong data, and your readers will know you messed up if the other three people in your group have “97 degrees” and you have “87.”
  • Consult with your lab partners about everything you do. Lab groups often make one of two mistakes: two people do all the work while two have a nice chat, or everybody works together until the group finishes gathering the raw data, then scrams outta there. Collaborate with your partners, even when the experiment is “over.” What trends did you observe? Was the hypothesis supported? Did you all get the same results? What kind of figure should you use to represent your findings? The whole group can work together to answer these questions.
  • Consider your audience. You may believe that audience is a non-issue: it’s your lab TA, right? Well, yes—but again, think beyond the classroom. If you write with only your lab instructor in mind, you may omit material that is crucial to a complete understanding of your experiment, because you assume the instructor knows all that stuff already. As a result, you may receive a lower grade, since your TA won’t be sure that you understand all the principles at work. Try to write towards a student in the same course but a different lab section. That student will have a fair degree of scientific expertise but won’t know much about your experiment particularly. Alternatively, you could envision yourself five years from now, after the reading and lectures for this course have faded a bit. What would you remember, and what would you need explained more clearly (as a refresher)?

Once you’ve completed these steps as you perform the experiment, you’ll be in a good position to draft an effective lab report.

Introductions

How do i write a strong introduction.

For the purposes of this handout, we’ll consider the Introduction to contain four basic elements: the purpose, the scientific literature relevant to the subject, the hypothesis, and the reasons you believed your hypothesis viable. Let’s start by going through each element of the Introduction to clarify what it covers and why it’s important. Then we can formulate a logical organizational strategy for the section.

The inclusion of the purpose (sometimes called the objective) of the experiment often confuses writers. The biggest misconception is that the purpose is the same as the hypothesis. Not quite. We’ll get to hypotheses in a minute, but basically they provide some indication of what you expect the experiment to show. The purpose is broader, and deals more with what you expect to gain through the experiment. In a professional setting, the hypothesis might have something to do with how cells react to a certain kind of genetic manipulation, but the purpose of the experiment is to learn more about potential cancer treatments. Undergraduate reports don’t often have this wide-ranging a goal, but you should still try to maintain the distinction between your hypothesis and your purpose. In a solubility experiment, for example, your hypothesis might talk about the relationship between temperature and the rate of solubility, but the purpose is probably to learn more about some specific scientific principle underlying the process of solubility.

For starters, most people say that you should write out your working hypothesis before you perform the experiment or study. Many beginning science students neglect to do so and find themselves struggling to remember precisely which variables were involved in the process or in what way the researchers felt that they were related. Write your hypothesis down as you develop it—you’ll be glad you did.

As for the form a hypothesis should take, it’s best not to be too fancy or complicated; an inventive style isn’t nearly so important as clarity here. There’s nothing wrong with beginning your hypothesis with the phrase, “It was hypothesized that . . .” Be as specific as you can about the relationship between the different objects of your study. In other words, explain that when term A changes, term B changes in this particular way. Readers of scientific writing are rarely content with the idea that a relationship between two terms exists—they want to know what that relationship entails.

Not a hypothesis:

“It was hypothesized that there is a significant relationship between the temperature of a solvent and the rate at which a solute dissolves.”

Hypothesis:

“It was hypothesized that as the temperature of a solvent increases, the rate at which a solute will dissolve in that solvent increases.”

Put more technically, most hypotheses contain both an independent and a dependent variable. The independent variable is what you manipulate to test the reaction; the dependent variable is what changes as a result of your manipulation. In the example above, the independent variable is the temperature of the solvent, and the dependent variable is the rate of solubility. Be sure that your hypothesis includes both variables.

Justify your hypothesis

You need to do more than tell your readers what your hypothesis is; you also need to assure them that this hypothesis was reasonable, given the circumstances. In other words, use the Introduction to explain that you didn’t just pluck your hypothesis out of thin air. (If you did pluck it out of thin air, your problems with your report will probably extend beyond using the appropriate format.) If you posit that a particular relationship exists between the independent and the dependent variable, what led you to believe your “guess” might be supported by evidence?

Scientists often refer to this type of justification as “motivating” the hypothesis, in the sense that something propelled them to make that prediction. Often, motivation includes what we already know—or rather, what scientists generally accept as true (see “Background/previous research” below). But you can also motivate your hypothesis by relying on logic or on your own observations. If you’re trying to decide which solutes will dissolve more rapidly in a solvent at increased temperatures, you might remember that some solids are meant to dissolve in hot water (e.g., bouillon cubes) and some are used for a function precisely because they withstand higher temperatures (they make saucepans out of something). Or you can think about whether you’ve noticed sugar dissolving more rapidly in your glass of iced tea or in your cup of coffee. Even such basic, outside-the-lab observations can help you justify your hypothesis as reasonable.

Background/previous research

This part of the Introduction demonstrates to the reader your awareness of how you’re building on other scientists’ work. If you think of the scientific community as engaging in a series of conversations about various topics, then you’ll recognize that the relevant background material will alert the reader to which conversation you want to enter.

Generally speaking, authors writing journal articles use the background for slightly different purposes than do students completing assignments. Because readers of academic journals tend to be professionals in the field, authors explain the background in order to permit readers to evaluate the study’s pertinence for their own work. You, on the other hand, write toward a much narrower audience—your peers in the course or your lab instructor—and so you must demonstrate that you understand the context for the (presumably assigned) experiment or study you’ve completed. For example, if your professor has been talking about polarity during lectures, and you’re doing a solubility experiment, you might try to connect the polarity of a solid to its relative solubility in certain solvents. In any event, both professional researchers and undergraduates need to connect the background material overtly to their own work.

Organization of this section

Most of the time, writers begin by stating the purpose or objectives of their own work, which establishes for the reader’s benefit the “nature and scope of the problem investigated” (Day 1994). Once you have expressed your purpose, you should then find it easier to move from the general purpose, to relevant material on the subject, to your hypothesis. In abbreviated form, an Introduction section might look like this:

“The purpose of the experiment was to test conventional ideas about solubility in the laboratory [purpose] . . . According to Whitecoat and Labrat (1999), at higher temperatures the molecules of solvents move more quickly . . . We know from the class lecture that molecules moving at higher rates of speed collide with one another more often and thus break down more easily [background material/motivation] . . . Thus, it was hypothesized that as the temperature of a solvent increases, the rate at which a solute will dissolve in that solvent increases [hypothesis].”

Again—these are guidelines, not commandments. Some writers and readers prefer different structures for the Introduction. The one above merely illustrates a common approach to organizing material.

How do I write a strong Materials and Methods section?

As with any piece of writing, your Methods section will succeed only if it fulfills its readers’ expectations, so you need to be clear in your own mind about the purpose of this section. Let’s review the purpose as we described it above: in this section, you want to describe in detail how you tested the hypothesis you developed and also to clarify the rationale for your procedure. In science, it’s not sufficient merely to design and carry out an experiment. Ultimately, others must be able to verify your findings, so your experiment must be reproducible, to the extent that other researchers can follow the same procedure and obtain the same (or similar) results.

Here’s a real-world example of the importance of reproducibility. In 1989, physicists Stanley Pons and Martin Fleischman announced that they had discovered “cold fusion,” a way of producing excess heat and power without the nuclear radiation that accompanies “hot fusion.” Such a discovery could have great ramifications for the industrial production of energy, so these findings created a great deal of interest. When other scientists tried to duplicate the experiment, however, they didn’t achieve the same results, and as a result many wrote off the conclusions as unjustified (or worse, a hoax). To this day, the viability of cold fusion is debated within the scientific community, even though an increasing number of researchers believe it possible. So when you write your Methods section, keep in mind that you need to describe your experiment well enough to allow others to replicate it exactly.

With these goals in mind, let’s consider how to write an effective Methods section in terms of content, structure, and style.

Sometimes the hardest thing about writing this section isn’t what you should talk about, but what you shouldn’t talk about. Writers often want to include the results of their experiment, because they measured and recorded the results during the course of the experiment. But such data should be reserved for the Results section. In the Methods section, you can write that you recorded the results, or how you recorded the results (e.g., in a table), but you shouldn’t write what the results were—not yet. Here, you’re merely stating exactly how you went about testing your hypothesis. As you draft your Methods section, ask yourself the following questions:

  • How much detail? Be precise in providing details, but stay relevant. Ask yourself, “Would it make any difference if this piece were a different size or made from a different material?” If not, you probably don’t need to get too specific. If so, you should give as many details as necessary to prevent this experiment from going awry if someone else tries to carry it out. Probably the most crucial detail is measurement; you should always quantify anything you can, such as time elapsed, temperature, mass, volume, etc.
  • Rationale: Be sure that as you’re relating your actions during the experiment, you explain your rationale for the protocol you developed. If you capped a test tube immediately after adding a solute to a solvent, why did you do that? (That’s really two questions: why did you cap it, and why did you cap it immediately?) In a professional setting, writers provide their rationale as a way to explain their thinking to potential critics. On one hand, of course, that’s your motivation for talking about protocol, too. On the other hand, since in practical terms you’re also writing to your teacher (who’s seeking to evaluate how well you comprehend the principles of the experiment), explaining the rationale indicates that you understand the reasons for conducting the experiment in that way, and that you’re not just following orders. Critical thinking is crucial—robots don’t make good scientists.
  • Control: Most experiments will include a control, which is a means of comparing experimental results. (Sometimes you’ll need to have more than one control, depending on the number of hypotheses you want to test.) The control is exactly the same as the other items you’re testing, except that you don’t manipulate the independent variable-the condition you’re altering to check the effect on the dependent variable. For example, if you’re testing solubility rates at increased temperatures, your control would be a solution that you didn’t heat at all; that way, you’ll see how quickly the solute dissolves “naturally” (i.e., without manipulation), and you’ll have a point of reference against which to compare the solutions you did heat.

Describe the control in the Methods section. Two things are especially important in writing about the control: identify the control as a control, and explain what you’re controlling for. Here is an example:

“As a control for the temperature change, we placed the same amount of solute in the same amount of solvent, and let the solution stand for five minutes without heating it.”

Structure and style

Organization is especially important in the Methods section of a lab report because readers must understand your experimental procedure completely. Many writers are surprised by the difficulty of conveying what they did during the experiment, since after all they’re only reporting an event, but it’s often tricky to present this information in a coherent way. There’s a fairly standard structure you can use to guide you, and following the conventions for style can help clarify your points.

  • Subsections: Occasionally, researchers use subsections to report their procedure when the following circumstances apply: 1) if they’ve used a great many materials; 2) if the procedure is unusually complicated; 3) if they’ve developed a procedure that won’t be familiar to many of their readers. Because these conditions rarely apply to the experiments you’ll perform in class, most undergraduate lab reports won’t require you to use subsections. In fact, many guides to writing lab reports suggest that you try to limit your Methods section to a single paragraph.
  • Narrative structure: Think of this section as telling a story about a group of people and the experiment they performed. Describe what you did in the order in which you did it. You may have heard the old joke centered on the line, “Disconnect the red wire, but only after disconnecting the green wire,” where the person reading the directions blows everything to kingdom come because the directions weren’t in order. We’re used to reading about events chronologically, and so your readers will generally understand what you did if you present that information in the same way. Also, since the Methods section does generally appear as a narrative (story), you want to avoid the “recipe” approach: “First, take a clean, dry 100 ml test tube from the rack. Next, add 50 ml of distilled water.” You should be reporting what did happen, not telling the reader how to perform the experiment: “50 ml of distilled water was poured into a clean, dry 100 ml test tube.” Hint: most of the time, the recipe approach comes from copying down the steps of the procedure from your lab manual, so you may want to draft the Methods section initially without consulting your manual. Later, of course, you can go back and fill in any part of the procedure you inadvertently overlooked.
  • Past tense: Remember that you’re describing what happened, so you should use past tense to refer to everything you did during the experiment. Writers are often tempted to use the imperative (“Add 5 g of the solid to the solution”) because that’s how their lab manuals are worded; less frequently, they use present tense (“5 g of the solid are added to the solution”). Instead, remember that you’re talking about an event which happened at a particular time in the past, and which has already ended by the time you start writing, so simple past tense will be appropriate in this section (“5 g of the solid were added to the solution” or “We added 5 g of the solid to the solution”).
  • Active: We heated the solution to 80°C. (The subject, “we,” performs the action, heating.)
  • Passive: The solution was heated to 80°C. (The subject, “solution,” doesn’t do the heating–it is acted upon, not acting.)

Increasingly, especially in the social sciences, using first person and active voice is acceptable in scientific reports. Most readers find that this style of writing conveys information more clearly and concisely. This rhetorical choice thus brings two scientific values into conflict: objectivity versus clarity. Since the scientific community hasn’t reached a consensus about which style it prefers, you may want to ask your lab instructor.

How do I write a strong Results section?

Here’s a paradox for you. The Results section is often both the shortest (yay!) and most important (uh-oh!) part of your report. Your Materials and Methods section shows how you obtained the results, and your Discussion section explores the significance of the results, so clearly the Results section forms the backbone of the lab report. This section provides the most critical information about your experiment: the data that allow you to discuss how your hypothesis was or wasn’t supported. But it doesn’t provide anything else, which explains why this section is generally shorter than the others.

Before you write this section, look at all the data you collected to figure out what relates significantly to your hypothesis. You’ll want to highlight this material in your Results section. Resist the urge to include every bit of data you collected, since perhaps not all are relevant. Also, don’t try to draw conclusions about the results—save them for the Discussion section. In this section, you’re reporting facts. Nothing your readers can dispute should appear in the Results section.

Most Results sections feature three distinct parts: text, tables, and figures. Let’s consider each part one at a time.

This should be a short paragraph, generally just a few lines, that describes the results you obtained from your experiment. In a relatively simple experiment, one that doesn’t produce a lot of data for you to repeat, the text can represent the entire Results section. Don’t feel that you need to include lots of extraneous detail to compensate for a short (but effective) text; your readers appreciate discrimination more than your ability to recite facts. In a more complex experiment, you may want to use tables and/or figures to help guide your readers toward the most important information you gathered. In that event, you’ll need to refer to each table or figure directly, where appropriate:

“Table 1 lists the rates of solubility for each substance”

“Solubility increased as the temperature of the solution increased (see Figure 1).”

If you do use tables or figures, make sure that you don’t present the same material in both the text and the tables/figures, since in essence you’ll just repeat yourself, probably annoying your readers with the redundancy of your statements.

Feel free to describe trends that emerge as you examine the data. Although identifying trends requires some judgment on your part and so may not feel like factual reporting, no one can deny that these trends do exist, and so they properly belong in the Results section. Example:

“Heating the solution increased the rate of solubility of polar solids by 45% but had no effect on the rate of solubility in solutions containing non-polar solids.”

This point isn’t debatable—you’re just pointing out what the data show.

As in the Materials and Methods section, you want to refer to your data in the past tense, because the events you recorded have already occurred and have finished occurring. In the example above, note the use of “increased” and “had,” rather than “increases” and “has.” (You don’t know from your experiment that heating always increases the solubility of polar solids, but it did that time.)

You shouldn’t put information in the table that also appears in the text. You also shouldn’t use a table to present irrelevant data, just to show you did collect these data during the experiment. Tables are good for some purposes and situations, but not others, so whether and how you’ll use tables depends upon what you need them to accomplish.

Tables are useful ways to show variation in data, but not to present a great deal of unchanging measurements. If you’re dealing with a scientific phenomenon that occurs only within a certain range of temperatures, for example, you don’t need to use a table to show that the phenomenon didn’t occur at any of the other temperatures. How useful is this table?

A table labeled Effect of Temperature on Rate of Solubility with temperature of solvent values in 10-degree increments from -20 degrees Celsius to 80 degrees Celsius that does not show a corresponding rate of solubility value until 50 degrees Celsius.

As you can probably see, no solubility was observed until the trial temperature reached 50°C, a fact that the text part of the Results section could easily convey. The table could then be limited to what happened at 50°C and higher, thus better illustrating the differences in solubility rates when solubility did occur.

As a rule, try not to use a table to describe any experimental event you can cover in one sentence of text. Here’s an example of an unnecessary table from How to Write and Publish a Scientific Paper , by Robert A. Day:

A table labeled Oxygen requirements of various species of Streptomyces showing the names of organisms and two columns that indicate growth under aerobic conditions and growth under anaerobic conditions with a plus or minus symbol for each organism in the growth columns to indicate value.

As Day notes, all the information in this table can be summarized in one sentence: “S. griseus, S. coelicolor, S. everycolor, and S. rainbowenski grew under aerobic conditions, whereas S. nocolor and S. greenicus required anaerobic conditions.” Most readers won’t find the table clearer than that one sentence.

When you do have reason to tabulate material, pay attention to the clarity and readability of the format you use. Here are a few tips:

  • Number your table. Then, when you refer to the table in the text, use that number to tell your readers which table they can review to clarify the material.
  • Give your table a title. This title should be descriptive enough to communicate the contents of the table, but not so long that it becomes difficult to follow. The titles in the sample tables above are acceptable.
  • Arrange your table so that readers read vertically, not horizontally. For the most part, this rule means that you should construct your table so that like elements read down, not across. Think about what you want your readers to compare, and put that information in the column (up and down) rather than in the row (across). Usually, the point of comparison will be the numerical data you collect, so especially make sure you have columns of numbers, not rows.Here’s an example of how drastically this decision affects the readability of your table (from A Short Guide to Writing about Chemistry , by Herbert Beall and John Trimbur). Look at this table, which presents the relevant data in horizontal rows:

A table labeled Boyle's Law Experiment: Measuring Volume as a Function of Pressure that presents the trial number, length of air sample in millimeters, and height difference in inches of mercury, each of which is presented in rows horizontally.

It’s a little tough to see the trends that the author presumably wants to present in this table. Compare this table, in which the data appear vertically:

A table labeled Boyle's Law Experiment: Measuring Volume as a Function of Pressure that presents the trial number, length of air sample in millimeters, and height difference in inches of mercury, each of which is presented in columns vertically.

The second table shows how putting like elements in a vertical column makes for easier reading. In this case, the like elements are the measurements of length and height, over five trials–not, as in the first table, the length and height measurements for each trial.

  • Make sure to include units of measurement in the tables. Readers might be able to guess that you measured something in millimeters, but don’t make them try.
  • Don’t use vertical lines as part of the format for your table. This convention exists because journals prefer not to have to reproduce these lines because the tables then become more expensive to print. Even though it’s fairly unlikely that you’ll be sending your Biology 11 lab report to Science for publication, your readers still have this expectation. Consequently, if you use the table-drawing option in your word-processing software, choose the option that doesn’t rely on a “grid” format (which includes vertical lines).

How do I include figures in my report?

Although tables can be useful ways of showing trends in the results you obtained, figures (i.e., illustrations) can do an even better job of emphasizing such trends. Lab report writers often use graphic representations of the data they collected to provide their readers with a literal picture of how the experiment went.

When should you use a figure?

Remember the circumstances under which you don’t need a table: when you don’t have a great deal of data or when the data you have don’t vary a lot. Under the same conditions, you would probably forgo the figure as well, since the figure would be unlikely to provide your readers with an additional perspective. Scientists really don’t like their time wasted, so they tend not to respond favorably to redundancy.

If you’re trying to decide between using a table and creating a figure to present your material, consider the following a rule of thumb. The strength of a table lies in its ability to supply large amounts of exact data, whereas the strength of a figure is its dramatic illustration of important trends within the experiment. If you feel that your readers won’t get the full impact of the results you obtained just by looking at the numbers, then a figure might be appropriate.

Of course, an undergraduate class may expect you to create a figure for your lab experiment, if only to make sure that you can do so effectively. If this is the case, then don’t worry about whether to use figures or not—concentrate instead on how best to accomplish your task.

Figures can include maps, photographs, pen-and-ink drawings, flow charts, bar graphs, and section graphs (“pie charts”). But the most common figure by far, especially for undergraduates, is the line graph, so we’ll focus on that type in this handout.

At the undergraduate level, you can often draw and label your graphs by hand, provided that the result is clear, legible, and drawn to scale. Computer technology has, however, made creating line graphs a lot easier. Most word-processing software has a number of functions for transferring data into graph form; many scientists have found Microsoft Excel, for example, a helpful tool in graphing results. If you plan on pursuing a career in the sciences, it may be well worth your while to learn to use a similar program.

Computers can’t, however, decide for you how your graph really works; you have to know how to design your graph to meet your readers’ expectations. Here are some of these expectations:

  • Keep it as simple as possible. You may be tempted to signal the complexity of the information you gathered by trying to design a graph that accounts for that complexity. But remember the purpose of your graph: to dramatize your results in a manner that’s easy to see and grasp. Try not to make the reader stare at the graph for a half hour to find the important line among the mass of other lines. For maximum effectiveness, limit yourself to three to five lines per graph; if you have more data to demonstrate, use a set of graphs to account for it, rather than trying to cram it all into a single figure.
  • Plot the independent variable on the horizontal (x) axis and the dependent variable on the vertical (y) axis. Remember that the independent variable is the condition that you manipulated during the experiment and the dependent variable is the condition that you measured to see if it changed along with the independent variable. Placing the variables along their respective axes is mostly just a convention, but since your readers are accustomed to viewing graphs in this way, you’re better off not challenging the convention in your report.
  • Label each axis carefully, and be especially careful to include units of measure. You need to make sure that your readers understand perfectly well what your graph indicates.
  • Number and title your graphs. As with tables, the title of the graph should be informative but concise, and you should refer to your graph by number in the text (e.g., “Figure 1 shows the increase in the solubility rate as a function of temperature”).
  • Many editors of professional scientific journals prefer that writers distinguish the lines in their graphs by attaching a symbol to them, usually a geometric shape (triangle, square, etc.), and using that symbol throughout the curve of the line. Generally, readers have a hard time distinguishing dotted lines from dot-dash lines from straight lines, so you should consider staying away from this system. Editors don’t usually like different-colored lines within a graph because colors are difficult and expensive to reproduce; colors may, however, be great for your purposes, as long as you’re not planning to submit your paper to Nature. Use your discretion—try to employ whichever technique dramatizes the results most effectively.
  • Try to gather data at regular intervals, so the plot points on your graph aren’t too far apart. You can’t be sure of the arc you should draw between the plot points if the points are located at the far corners of the graph; over a fifteen-minute interval, perhaps the change occurred in the first or last thirty seconds of that period (in which case your straight-line connection between the points is misleading).
  • If you’re worried that you didn’t collect data at sufficiently regular intervals during your experiment, go ahead and connect the points with a straight line, but you may want to examine this problem as part of your Discussion section.
  • Make your graph large enough so that everything is legible and clearly demarcated, but not so large that it either overwhelms the rest of the Results section or provides a far greater range than you need to illustrate your point. If, for example, the seedlings of your plant grew only 15 mm during the trial, you don’t need to construct a graph that accounts for 100 mm of growth. The lines in your graph should more or less fill the space created by the axes; if you see that your data is confined to the lower left portion of the graph, you should probably re-adjust your scale.
  • If you create a set of graphs, make them the same size and format, including all the verbal and visual codes (captions, symbols, scale, etc.). You want to be as consistent as possible in your illustrations, so that your readers can easily make the comparisons you’re trying to get them to see.

How do I write a strong Discussion section?

The discussion section is probably the least formalized part of the report, in that you can’t really apply the same structure to every type of experiment. In simple terms, here you tell your readers what to make of the Results you obtained. If you have done the Results part well, your readers should already recognize the trends in the data and have a fairly clear idea of whether your hypothesis was supported. Because the Results can seem so self-explanatory, many students find it difficult to know what material to add in this last section.

Basically, the Discussion contains several parts, in no particular order, but roughly moving from specific (i.e., related to your experiment only) to general (how your findings fit in the larger scientific community). In this section, you will, as a rule, need to:

Explain whether the data support your hypothesis

  • Acknowledge any anomalous data or deviations from what you expected

Derive conclusions, based on your findings, about the process you’re studying

  • Relate your findings to earlier work in the same area (if you can)

Explore the theoretical and/or practical implications of your findings

Let’s look at some dos and don’ts for each of these objectives.

This statement is usually a good way to begin the Discussion, since you can’t effectively speak about the larger scientific value of your study until you’ve figured out the particulars of this experiment. You might begin this part of the Discussion by explicitly stating the relationships or correlations your data indicate between the independent and dependent variables. Then you can show more clearly why you believe your hypothesis was or was not supported. For example, if you tested solubility at various temperatures, you could start this section by noting that the rates of solubility increased as the temperature increased. If your initial hypothesis surmised that temperature change would not affect solubility, you would then say something like,

“The hypothesis that temperature change would not affect solubility was not supported by the data.”

Note: Students tend to view labs as practical tests of undeniable scientific truths. As a result, you may want to say that the hypothesis was “proved” or “disproved” or that it was “correct” or “incorrect.” These terms, however, reflect a degree of certainty that you as a scientist aren’t supposed to have. Remember, you’re testing a theory with a procedure that lasts only a few hours and relies on only a few trials, which severely compromises your ability to be sure about the “truth” you see. Words like “supported,” “indicated,” and “suggested” are more acceptable ways to evaluate your hypothesis.

Also, recognize that saying whether the data supported your hypothesis or not involves making a claim to be defended. As such, you need to show the readers that this claim is warranted by the evidence. Make sure that you’re very explicit about the relationship between the evidence and the conclusions you draw from it. This process is difficult for many writers because we don’t often justify conclusions in our regular lives. For example, you might nudge your friend at a party and whisper, “That guy’s drunk,” and once your friend lays eyes on the person in question, she might readily agree. In a scientific paper, by contrast, you would need to defend your claim more thoroughly by pointing to data such as slurred words, unsteady gait, and the lampshade-as-hat. In addition to pointing out these details, you would also need to show how (according to previous studies) these signs are consistent with inebriation, especially if they occur in conjunction with one another. To put it another way, tell your readers exactly how you got from point A (was the hypothesis supported?) to point B (yes/no).

Acknowledge any anomalous data, or deviations from what you expected

You need to take these exceptions and divergences into account, so that you qualify your conclusions sufficiently. For obvious reasons, your readers will doubt your authority if you (deliberately or inadvertently) overlook a key piece of data that doesn’t square with your perspective on what occurred. In a more philosophical sense, once you’ve ignored evidence that contradicts your claims, you’ve departed from the scientific method. The urge to “tidy up” the experiment is often strong, but if you give in to it you’re no longer performing good science.

Sometimes after you’ve performed a study or experiment, you realize that some part of the methods you used to test your hypothesis was flawed. In that case, it’s OK to suggest that if you had the chance to conduct your test again, you might change the design in this or that specific way in order to avoid such and such a problem. The key to making this approach work, though, is to be very precise about the weakness in your experiment, why and how you think that weakness might have affected your data, and how you would alter your protocol to eliminate—or limit the effects of—that weakness. Often, inexperienced researchers and writers feel the need to account for “wrong” data (remember, there’s no such animal), and so they speculate wildly about what might have screwed things up. These speculations include such factors as the unusually hot temperature in the room, or the possibility that their lab partners read the meters wrong, or the potentially defective equipment. These explanations are what scientists call “cop-outs,” or “lame”; don’t indicate that the experiment had a weakness unless you’re fairly certain that a) it really occurred and b) you can explain reasonably well how that weakness affected your results.

If, for example, your hypothesis dealt with the changes in solubility at different temperatures, then try to figure out what you can rationally say about the process of solubility more generally. If you’re doing an undergraduate lab, chances are that the lab will connect in some way to the material you’ve been covering either in lecture or in your reading, so you might choose to return to these resources as a way to help you think clearly about the process as a whole.

This part of the Discussion section is another place where you need to make sure that you’re not overreaching. Again, nothing you’ve found in one study would remotely allow you to claim that you now “know” something, or that something isn’t “true,” or that your experiment “confirmed” some principle or other. Hesitate before you go out on a limb—it’s dangerous! Use less absolutely conclusive language, including such words as “suggest,” “indicate,” “correspond,” “possibly,” “challenge,” etc.

Relate your findings to previous work in the field (if possible)

We’ve been talking about how to show that you belong in a particular community (such as biologists or anthropologists) by writing within conventions that they recognize and accept. Another is to try to identify a conversation going on among members of that community, and use your work to contribute to that conversation. In a larger philosophical sense, scientists can’t fully understand the value of their research unless they have some sense of the context that provoked and nourished it. That is, you have to recognize what’s new about your project (potentially, anyway) and how it benefits the wider body of scientific knowledge. On a more pragmatic level, especially for undergraduates, connecting your lab work to previous research will demonstrate to the TA that you see the big picture. You have an opportunity, in the Discussion section, to distinguish yourself from the students in your class who aren’t thinking beyond the barest facts of the study. Capitalize on this opportunity by putting your own work in context.

If you’re just beginning to work in the natural sciences (as a first-year biology or chemistry student, say), most likely the work you’ll be doing has already been performed and re-performed to a satisfactory degree. Hence, you could probably point to a similar experiment or study and compare/contrast your results and conclusions. More advanced work may deal with an issue that is somewhat less “resolved,” and so previous research may take the form of an ongoing debate, and you can use your own work to weigh in on that debate. If, for example, researchers are hotly disputing the value of herbal remedies for the common cold, and the results of your study suggest that Echinacea diminishes the symptoms but not the actual presence of the cold, then you might want to take some time in the Discussion section to recapitulate the specifics of the dispute as it relates to Echinacea as an herbal remedy. (Consider that you have probably already written in the Introduction about this debate as background research.)

This information is often the best way to end your Discussion (and, for all intents and purposes, the report). In argumentative writing generally, you want to use your closing words to convey the main point of your writing. This main point can be primarily theoretical (“Now that you understand this information, you’re in a better position to understand this larger issue”) or primarily practical (“You can use this information to take such and such an action”). In either case, the concluding statements help the reader to comprehend the significance of your project and your decision to write about it.

Since a lab report is argumentative—after all, you’re investigating a claim, and judging the legitimacy of that claim by generating and collecting evidence—it’s often a good idea to end your report with the same technique for establishing your main point. If you want to go the theoretical route, you might talk about the consequences your study has for the field or phenomenon you’re investigating. To return to the examples regarding solubility, you could end by reflecting on what your work on solubility as a function of temperature tells us (potentially) about solubility in general. (Some folks consider this type of exploration “pure” as opposed to “applied” science, although these labels can be problematic.) If you want to go the practical route, you could end by speculating about the medical, institutional, or commercial implications of your findings—in other words, answer the question, “What can this study help people to do?” In either case, you’re going to make your readers’ experience more satisfying, by helping them see why they spent their time learning what you had to teach them.

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

American Psychological Association. 2010. Publication Manual of the American Psychological Association . 6th ed. Washington, DC: American Psychological Association.

Beall, Herbert, and John Trimbur. 2001. A Short Guide to Writing About Chemistry , 2nd ed. New York: Longman.

Blum, Deborah, and Mary Knudson. 1997. A Field Guide for Science Writers: The Official Guide of the National Association of Science Writers . New York: Oxford University Press.

Booth, Wayne C., Gregory G. Colomb, Joseph M. Williams, Joseph Bizup, and William T. FitzGerald. 2016. The Craft of Research , 4th ed. Chicago: University of Chicago Press.

Briscoe, Mary Helen. 1996. Preparing Scientific Illustrations: A Guide to Better Posters, Presentations, and Publications , 2nd ed. New York: Springer-Verlag.

Council of Science Editors. 2014. Scientific Style and Format: The CSE Manual for Authors, Editors, and Publishers , 8th ed. Chicago & London: University of Chicago Press.

Davis, Martha. 2012. Scientific Papers and Presentations , 3rd ed. London: Academic Press.

Day, Robert A. 1994. How to Write and Publish a Scientific Paper , 4th ed. Phoenix: Oryx Press.

Porush, David. 1995. A Short Guide to Writing About Science . New York: Longman.

Williams, Joseph, and Joseph Bizup. 2017. Style: Lessons in Clarity and Grace , 12th ed. Boston: Pearson.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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The Science Of Writing: A Dive Into Scientific Report

Explore new discoveries! Delve into a scientific report and uncover groundbreaking research explained simply.

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Scientific reports offer a detailed narrative of research endeavors, guiding readers through the methodology employed, the data collected, the analysis conducted, and the conclusions drawn. These reports are not just about documenting findings but also about communicating them effectively to fellow researchers, policymakers, and the public. By adhering to established formats and standards, scientists ensure that their work is accessible, transparent, and reproducible. In this article, we’ll explore the details of scientific reporting, from structuring the report to interpreting its significance and highlighting its role in improving scientific knowledge and fostering innovation.

Understanding Scientific Report 

A scientific report is a formal document that systematically presents the methods, results, and conclusions of a research study or experiment. It serves as a means of communicating scientific findings to a wider audience, including fellow researchers, academics, and professionals in the field. Structured in a specific format, typically including sections such as an abstract, introduction, methods, results, discussion, conclusion, and references , a scientific report aims to provide a clear and comprehensive account of the research process and outcomes. It embodies principles of objectivity, clarity, and adherence to established conventions of scientific writing, facilitating transparency, reproducibility, and the advancement of knowledge within a particular discipline or area of study.

meaning of scientific research report

How To Write A Scientific Report

Crafting a precise and impactful scientific report is essential for effectively communicating research findings with clarity and accuracy. Such reports document the process, progress, and outcomes of technical or scientific research, offering insights into methodology, findings, and often, recommendations and conclusions. Serving as a vital communication tool within the scientific community and beyond, these reports facilitate knowledge dissemination across various fields. 

To craft a scientific report, several key steps must be followed. Start by defining the research question and providing background information. Outline the research methodology, including materials, procedures, and data collection techniques. Present results using tables, figures, and graphs when necessary, and interpret findings in the discussion section, comparing them to existing literature and addressing limitations or implications. Conclude by summarizing key findings, their significance, and citing sources appropriately.

Writing Clear And Concise Prose

Clear and concise writing ensures that the message is easily understood without unnecessary complexity or ambiguity. When crafting prose for a scientific report, researchers should prioritize simplicity and clarity, avoiding overly technical language or convoluted sentences that may confuse or alienate readers. Simple language and concise statements are crucial for effectively communicating complex ideas within a scientific report. 

Organizational Tips

Organizing information begins with creating a structured outline that includes all the necessary sections of a scientific report, such as the introduction, methods, results, discussion, and conclusion. Each section should be labeled and arranged logically to guide the reader through the research process. 

Within each section, information should be presented coherently, with subheadings used to break down complex topics. Visual aids like tables, figures, and graphs can be used to illustrate data and make it easier to understand. It’s also important to maintain consistency in formatting and citation style throughout the report to ensure professionalism and adherence to academic standards.

Here are some organizational tips for crafting a scientific report:

Outline the Structure: Before starting writing, outline the structure of your report. Identify key sections such as introduction, methods, results, discussion, and conclusion.

Start with a Strong Introduction: Begin the report with a clear and concise introduction that outlines the research question, objectives, and the significance of the study.

Provide Detailed Methods: Describe the research methodology in detail, including the materials used, procedures followed, and data collection techniques employed.

Present Results Clearly: Organize your results logically and present them clearly and straightforwardly using tables, figures, and graphs where appropriate.

Discuss Findings: Interpret the results in the discussion section, comparing them to existing literature, addressing any limitations, and exploring the broader implications of your findings.

Conclude Succinctly: Summarize the main findings of your study in the conclusion, reiterating their significance and potential impact.

Use Subheadings and Transitions: Use subheadings to break up large sections of text and guide the reader through the report. Ensure smooth transitions between paragraphs and sections to maintain coherence.

Proofread and Edit: Before submitting your report, carefully proofread and edit for clarity, coherence, and accuracy. Check for any grammatical errors, inconsistencies, or typos.

Formatting And Citation Guidelines

In scientific reports, adherence to specific formatting styles, such as APA, MLA, or Chicago, is essential for maintaining uniformity and professionalism. These styles dictate the layout of the document, including font size, margins, spacing, and the presentation of tables, figures, and equations. Additionally, accurate and proper citation of sources is imperative to acknowledge the contributions of others and avoid plagiarism. Researchers must follow established citation formats when referencing sources within the text and compiling a list of references at the end of the report.

Related articles:

  • Everything You Need To Know About APA Formatting
  • Chicago Style Citation Made Easy: Formatting and Examples
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Scientific Report Elements

The title page of a scientific report typically includes the title of the report, the authors’ names and affiliations, and often the date of submission. The title should convey the main focus of the research while accurately representing its content. The authors’ names and affiliations provide credit and context to the research, while the date indicates the timeline of the report’s completion.

Table of Contents

The table of contents provides a roadmap for the reader, outlining the report’s structure and indicating where each section begins. It lists the major sections and subsections along with their corresponding page numbers, enabling readers to navigate the document efficiently and locate specific information of interest.

The abstract is a concise summary of the entire scientific report, typically ranging from 150 to 250 words. It briefly describes the research objectives, methods, results, and conclusions, providing readers with a quick overview of the study’s key findings and significance. The abstract serves as a crucial entry point for readers to determine whether the report aligns with their interests and information needs.

Introduction

The introduction sets the stage for the research by providing background information, contextualizing the study within existing literature, and stating the research objectives or hypotheses. It outlines the rationale for the research, identifies gaps or unresolved questions in the literature, and establishes the significance of the study. The introduction aims to capture the reader’s interest and provide a clear understanding of the research context and purpose.

Materials and Methods (Experimental)

The materials and methods section provides a detailed description of the experimental procedures and methodologies employed in the research. It includes information on the materials, equipment, and instruments used and the specific steps taken to conduct the experiments or observations. This section should be written in a clear and precise way, enabling other researchers to replicate the study if desired.

The results section presents the findings of the research clearly and systematically. It typically includes tables, figures, graphs, or other visual aids to illustrate the data collected during the study. The results are often organized according to the research objectives or hypotheses and are accompanied by descriptive text that highlights key findings and trends observed in the data.

The discussion section interprets and analyzes the results presented in the previous section, placing them in the context of existing literature and theoretical frameworks. It explores the implications of the findings, discusses possible explanations for observed patterns or discrepancies, and addresses the significance and limitations of the research. The discussion aims to provide a deeper understanding of the research outcomes and stimulate further inquiry in the field.

The conclusion summarizes the main findings of the research and their implications, reiterating the significance of the study in light of the research objectives or hypotheses. It may also offer suggestions for future research directions or practical applications based on the findings. The conclusion provides closure to the report and reinforces the key takeaways for the reader.

The references section lists all sources cited within the scientific report, following a specific citation style such as APA, MLA, or Chicago. It provides readers with the necessary information to locate and verify the sources used in the research, thereby ensuring transparency and credibility. The references are typically arranged alphabetically by the authors’ last names and include full bibliographic details such as author names, publication titles, journal names, publication dates, and page numbers.

Find more tips here: Formatting Science Reports .

Ethical Considerations

Within the framework of a scientific report, ethical considerations encompass a range of principles and practices aimed at ensuring the ethical conduct of research. These include upholding honesty and accuracy in reporting findings, avoiding plagiarism and data fabrication, disclosing conflicts of interest, obtaining informed consent from participants, respecting the welfare and rights of human subjects and animals, managing data responsibly, and adhering to publication ethics. By prioritizing ethical considerations, researchers uphold the trustworthiness and credibility of their work, safeguard the welfare of research participants, and contribute to the advancement of knowledge ethically and responsibly.

Integrity And Transparency

Ethical scientific reporting hinges on the principles of integrity and transparency. Researchers must conduct their studies with unwavering honesty, ensuring that their methodologies, data collection processes, and interpretations are transparently presented. Transparency extends to disclosing any potential biases, limitations, or conflicts of interest that could influence the research outcomes. By upholding integrity and transparency, scientists foster trust within the scientific community and promote the reliability of their findings.

Scientific Reporting Pitfalls

Plagiarism, data fabrication, and conflicts of interest are ethical pitfalls that researchers must vigilantly avoid in scientific reporting. Plagiarism involves using someone else’s work, ideas, or words without proper acknowledgment, which undermines the originality and integrity of the research. Data fabrication refers to the deliberate manipulation or falsification of research data to support desired conclusions, compromising the accuracy and validity of the findings. 

Conflicts of interest arise when researchers have personal, financial, or professional interests that could unduly influence their research objectivity or reporting. Researchers must adhere to ethical guidelines and standards, actively preventing and addressing instances of plagiarism, data fabrication, and conflicts of interest. By upholding ethical principles, scientific reports maintain their credibility and contribute to the advancement of knowledge with integrity.

Navigating Data Analysis

Navigating data analysis in a scientific report involves the process of interpreting and making sense of the data collected during research. It encompasses various steps, including data cleaning, data exploration, statistical analysis, and drawing conclusions based on the findings. Researchers must choose appropriate statistical methods to analyze their data and ensure the accuracy and reliability of their results. 

Navigating data analysis also involves effectively communicating the findings through clear and concise presentation in the scientific report, often using tables, figures, and graphs to illustrate key patterns and trends. Ultimately, the goal of navigating data analysis is to derive meaningful insights from the data collected, contributing to the overall objectives of the research study.

Data Cleaning

Data cleaning is a crucial process in research methodology that involves identifying and rectifying errors, inconsistencies, and missing values within a dataset. By meticulously addressing duplicate entries, correcting errors and outliers, filling in missing data points, and standardizing formats and units, researchers ensure the accuracy and integrity of the dataset. This meticulous attention to detail minimizes the risk of bias and inaccuracies in subsequent analysis, resulting in more reliable and robust research findings.

Data Exploration

Data exploration, a foundational step in the data analysis process, entails the systematic examination of a dataset to uncover patterns, trends, and relationships. Through visual and statistical techniques such as scatter plots, histograms, and correlation matrices, researchers gain valuable insights into the structure and characteristics of the data. By identifying outliers, anomalies, and potential data quality issues, researchers can refine their research questions, formulate hypotheses, and guide subsequent analysis. Data exploration facilitates a deeper understanding of the dataset, enabling researchers to make informed decisions and derive meaningful insights that contribute to the research objectives.

Common Statistical Analysis

Scientific reports often rely on various statistical methods to analyze data and draw meaningful conclusions. These methods may include descriptive statistics to summarize data, inferential statistics to make inferences about populations based on sample data, and hypothesis testing to assess the significance of research findings. Understanding and selecting appropriate statistical techniques based on the research design and data characteristics are crucial for conducting rigorous data analysis.

Data Interpretation And Presentation

Once data analysis is complete, the next step is to interpret the results and present them clearly and informally within the scientific report. This involves examining patterns, trends, and relationships in the data to draw meaningful conclusions that address the research objectives or hypotheses. Data interpretation should be guided by statistical findings and supported by evidence from the research. Additionally, presenting the results effectively using tables, figures, graphs, and charts enhances the clarity and accessibility of the findings for readers. By effectively navigating data analysis, researchers can elucidate the significance of their findings and contribute valuable insights to their field of study within the scientific report.

Communicating Findings

In a scientific report, communicating findings is the section where the researcher presents the results and conclusions drawn from the study. This section typically follows the methods and results sections and interprets the data collected and analyzed. Below are the typical components of a communicating findings section:

Presentation of Results: This involves presenting the key findings of the study, often in the form of tables, graphs, charts, or other visual aids. Data should be organized and clearly labeled to facilitate understanding.

Interpretation of Results: After presenting the data, the researcher explains the significance of the findings. This may involve discussing patterns, trends, relationships, or differences observed in the data. The interpretation should be objective and supported by evidence from the results.

Discussion of Implications: The researcher discusses the broader implications of the findings within the context of the research question or hypothesis. This may involve relating the results to existing theories, discussing practical applications, or considering implications for future research.

Comparison with Previous Studies: If relevant, the researcher may compare their findings with those of previous studies. This can help contextualize the results and identify areas of agreement or divergence with existing literature.

Limitations: It’s important to acknowledge any limitations or constraints of the study that may have influenced the findings. This could include issues such as sample size, methodology, or measurement error.

Conclusion: The section typically concludes with a summary of the main findings and their significance. This may also include suggestions for future research directions based on the current findings.

Strategies For Diverse Audiences

Effectively communicating findings in a Scientific Report is essential for ensuring the research’s understanding and impact across diverse audiences. Strategies for diverse audiences include tailoring communication to fellow researchers by balancing technical detail with clarity and context, presenting findings to policymakers in a relevant and actionable manner to inform policy decisions, and translating complex scientific information for the general public using relatable language, analogies, and visual aids. By employing these strategies, researchers can maximize the accessibility and relevance of their findings, fostering broader understanding and engagement with their work.

Importance Of Clarity And Accessibility

The importance of clarity and accessibility in scientific reporting is twofold: clear and straightforward presentation of findings ensures accurate interpretation by readers, achieved through logical structuring, concise language, and avoidance of ambiguity; additionally, accessibility is enhanced by employing visuals, formatting techniques, and plain language summaries, facilitating comprehension for a diverse audience. These elements collectively break down complex information, making the report more digestible and readable for all readers.

Peer Review Process

Understanding the peer review process and effectively responding to reviewer feedback are integral components of ensuring the quality and credibility of research findings. 

Overview of Peer Review

The peer review process is a cornerstone of scientific publishing, where manuscripts undergo evaluation by independent experts in the field before publication. This rigorous evaluation ensures that the research meets high standards of quality, accuracy, and validity. Peer review typically involves several stages, including submission, assessment by reviewers, and revisions based on feedback. Reviewers evaluate the originality, significance, methodology, and clarity of the research, providing constructive feedback to authors to improve the manuscript.

Also read: Peer Review Process: Understanding The Pathway To Publication

Responding To Reviewer Feedback

Upon receiving feedback from reviewers, authors are tasked with addressing their comments and suggestions thoughtfully and thoroughly. This may involve revising the manuscript, clarifying methods or results, providing additional evidence or analysis, or addressing any concerns raised by reviewers. Authors should approach reviewer feedback with an open mind, considering each comment carefully and providing clear and detailed responses to demonstrate how they have addressed the reviewers’ concerns. Effective communication and collaboration between authors and reviewers are essential for ensuring that the final manuscript meets the standards of rigor and excellence expected in scientific publishing.

Science Figures, Graphical Abstracts, And Infographics For Your Research

Mind the Graph is a comprehensive platform that offers a range of tools and resources to assist scientists in effectively communicating their research findings. One of the key features of Mind the Graph is its provision of science figures, which allows researchers to create visually appealing and informative graphical representations of their data. These figures are essential for presenting complex scientific concepts and experimental results clearly and concisely. Mind the Graph offers graphical abstracts, enabling researchers to summarize their research findings in a visually engaging format that quickly captures the attention of readers. The platform provides access to a wide variety of customizable infographics, allowing scientists to visually communicate key information and concepts related to their research projects. Subscribe now and start using the tool for free for 7 days.

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How to Write a Scientific Report | Step-by-Step Guide

Got to document an experiment but don't know how? In this post, we'll guide you step-by-step through how to write a scientific report and provide you with an example.

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Is your teacher expecting you to write an experimental report for every class experiment? Are you still unsure about how to write a scientific report properly? Don’t fear! We will guide you through all the parts of a scientific report, step-by-step.

How to write a scientific report:

  • What is a scientific report
  • General rules to write Scientific reports
  • Syllabus dot point 
  • Introduction/Background information
  • Risk assessment

What is a scientific report?

A scientific report documents all aspects of an experimental investigation. This includes:

  • The aim of the experiment
  • The hypothesis
  • An introduction to the relevant background theory
  • The methods used
  • The results
  • A discussion of the results
  • The conclusion

Scientific reports allow their readers to understand the experiment without doing it themselves. In addition, scientific reports give others the opportunity to check the methodology of the experiment to ensure the validity of the results.

A scientific report is written in several stages. We write the introduction, aim, and hypothesis before performing the experiment, record the results during the experiment, and complete the discussion and conclusions after the experiment.

But, before we delve deeper into how to write a scientific report, we need to have a science experiment to write about! Read our 7 Simple Experiments You Can Do At Home article and see which one you want to do.

blog-how-to-write-a-scientific-report-experiment

General rules about writing scientific reports

Learning how to write a scientific report is different from writing English essays or speeches!

You have to use:

  • Passive voice (which you should avoid when writing for other subjects like English!)
  • Past-tense language
  • Headings and subheadings
  • A pencil to draw scientific diagrams and graphs
  • Simple and clear lines for scientific diagrams
  • Tables and graphs where necessary

Structure of scientific reports:

Now that you know the general rules on how to write scientific reports, let’s look at the conventions for their structure!

The title should simply introduce what your experiment is about.

The Role of Light in Photosynthesis

2. Introduction/Background information

Write a paragraph that gives your readers background information to understand your experiment.

This includes explaining scientific theories, processes and other related knowledge.

Photosynthesis is a vital process for life. It occurs when plants intake carbon dioxide, water, and light, and results in the production of glucose and water. The light required for photosynthesis is absorbed by chlorophyll, the green pigment of plants, which is contained in the chloroplasts.

The glucose produced through photosynthesis is stored as starch, which is used as an energy source for the plant and its consumers.

The presence of starch in the leaves of a plant indicates that photosynthesis has occurred.

blog-how-to-write-a-scientific-report-photosynthesis

The aim identifies what is going to be tested in the experiment. This should be short, concise and clear.

The aim of the experiment is to test whether light is required for photosynthesis to occur.

4. Hypothesis

The hypothesis is a prediction of the outcome of the experiment. You have to use background information to make an educated prediction.

It is predicted that photosynthesis will occur only in leaves that are exposed to light and not in leaves that are not exposed to light. This will be indicated by the presence or absence of starch in the leaves.

5. Risk assessment

Identify the hazards associated with the experiment and provide a method to prevent or minimise the risks. A hazard is something that can cause harm, and the risk is the likelihood that harm will occur from the hazard.

A table is an excellent way to present your risk assessment.

Remember, you have to specify the  type of harm that can occur because of the hazard. It is not enough to simply identify the hazard.

  • Do not write:  “Scissors are sharp”
  • Instead, you have to write:  “Scissors are sharp and can cause injury”

blog-how-to-write-a-scientific-report-photosynthesis-risk

The method has 3 parts:

  • A list of every material used
  • Steps of what you did in the experiment
  • A scientific diagram of the experimental apparatus

Let’s break down what you need to do for each section.

6a. Materials

This must list every piece of equipment and material you used in the experiment.

Remember, you need to also specify the amount of each material you used.

  • 1 geranium plant
  • Aluminium foil
  • 2 test tubes
  • 1 test tube rack
  • 1 pair of scissors
  • 1 250 mL beaker
  • 1 pair of forceps
  • 1 10 mL measuring cylinder
  • Iodine solution (5 mL)
  • Methylated spirit (50ml)
  • Boiling water
  • 2 Petri dishes

blog-how-to-write-a-scientific-report-photosynthesis-material

The rule of thumb is that you should write the method in a clear way so that readers are able to repeat the experiment and get similar results.

Using a numbered list for the steps of your experimental procedure is much clearer than writing a whole paragraph of text.  The steps should:

  • Be written in a sequential order, based on when they were performed.
  • Specify any equipment that was used.
  • Specify the quantity of any materials that were used.

You also need to use past tense and passive voice when you are writing your method. Scientific reports are supposed to show the readers what you did in the experiment, not what you will do.

  • Aluminium foil was used to fully cover a leaf of the geranium plant. The plant was left in the sun for three days.
  • On the third day, the covered leaf and 1 non-covered leaf were collected from the plant. The foil was removed from the covered leaf, and a 1 cm square was cut from each leaf using a pair of scissors.
  • 150 mL of water was boiled in a kettle and poured into a 250 mL beaker.
  • Using forceps, the 1 cm square of covered leaf was placed into the beaker of boiling water for 2 minutes. It was then placed in a test tube labelled “dark”.
  • The water in the beaker was discarded and replaced with 150 mL of freshly boiled water.
  • Using forceps, the 1 cm square non-covered leaf was placed into the beaker of boiling water for 2 minutes. It was then placed in a test tube labelled “light”
  • 5 mL of methylated spirit was measured with a measuring cylinder and poured into each test tube so that the leaves were fully covered.
  • The water in the beaker was replaced with 150 mL of freshly boiled water and both the “light” and “dark” test tubes were immersed in the beaker of boiling water for 5 minutes.
  • The leaves were collected from each test tube with forceps, rinsed under cold running water, and placed onto separate labelled Petri dishes.
  • 3 drops of iodine solution were added to each leaf.
  • Both Petri dishes were placed side by side and observations were recorded.
  • The experiment was repeated 5 times, and results were compared between different groups.

6c. Diagram

After you finish your steps, it is time to draw your scientific diagrams! Here are some rules for drawing scientific diagrams:

  • Always use a pencil to draw your scientific diagrams.
  • Use simple, sharp, 2D lines and shapes to draw your diagram. Don’t draw 3D shapes or use shading.
  • Label everything in your diagram.
  • Use thin, straight lines to label your diagram. Do not use arrows.
  • Ensure that the label lines touch the outline of the equipment you are labelling and not cross over it or stop short of it
  • The label lines should never cross over each other.
  • Use a ruler for any straight lines in your diagram.
  • Draw a sufficiently large diagram so all components can be seen clearly.

blog-how-to-write-a-scientific-report-scientific-diagram-photosynthesis

This is where you document the results of your experiment. The data that you record for your experiment will generally be qualitative and/or quantitative.

Qualitative data is data that relates to qualities and is based on observations (qualitative – quality). This type of data is descriptive and is recorded in words. For example, the colour changed from green to orange, or the liquid became hot.

Quantitative data refers to numerical data (quantitative – quantity). This type of data is recorded using numbers and is either measured or counted. For example, the plant grew 5.2 cm, or there were 5 frogs.

You also need to record your results in an appropriate way. Most of the time, a table is the best way to do this.

Here are some rules to using tables

  • Use a pencil and a ruler to draw your table
  • Draw neat and straight lines
  • Ensure that the table is closed (connect all your lines)
  • Don’t cross your lines (erase any lines that stick out of the table)
  • Use appropriate columns and rows
  • Properly name each column and row (including the units of measurement in brackets)
  • Do not write your units in the body of your table (units belong in the header)
  • Always include a title

Note : If your results require calculations, clearly write each step.

Observations of the effects of light on the amount of starch in plant leaves.

blog-how-to-write-a-scientific-report-photosynthesis-results

If quantitative data was recorded, the data is often also plotted on a graph.

8. Discussion

The discussion is where you analyse and interpret your results, and identify any experimental errors or possible areas of improvements.

You should divide your discussion as follows.

1. Trend in the results

Describe the ‘trend’ in your results. That is, the relationship you observed between your independent and dependent variables.

The independent variable is the variable that you are changing in the experiment. In this experiment, it is the amount of light that the leaves are exposed to.

The dependent variable is the variable that you are measuring in the experiment, In this experiment, it is the presence of starch in the leaves.

Explain how a particular result is achieved by referring to scientific knowledge, theories and any other scientific resources you find. 2. Scientific explanation: 

The presence of starch is indicated when the addition of iodine causes the leaf to turn dark purple. The results show that starch was present in the leaves that were exposed to light, while the leaves that were not exposed to light did not contain starch.

2. Scientific explanation:

Provide an explanation of the results using scientific knowledge, theories and any other scientific resources you find.

As starch is produced during photosynthesis, these results show that light plays a key role in photosynthesis.

3. Validity 

Validity refers to whether or not your results are valid. This can be done by examining your variables.

VA lidity =  VA riables

Identify the independent, dependent, controlled variables and the control experiment (if you have one).

The controlled variables are the variables that you keep the same across all tests e.g. the size of the leaf sample.

The control experiment is where you don’t apply an independent variable. It is untouched for the whole experiment.

Ensure that you never change more than one variable at a time!

The independent variable of the experiment was amount of light that the leaves were exposed to (the covered and uncovered geranium leaf), while the dependent variable was the presence of starch. The controlled variables were the size of the leaf sample, the duration of the experiment, the amount of time the solutions were heated, and the amount of iodine solution used.

4. Reliability 

Identify how you ensured the reliability of the results.

RE liability = RE petition

Show that you repeated your experiments, cross-checked your results with other groups or collated your results with the class.

The reliability of the results was ensured by repeating the experiment 5 times and comparing results with other groups. Since other groups obtained comparable results, the results are reliable.

5. Accuracy

Accuracy should be discussed if your results are in the form of quantitative data, and there is an accepted value for the result.

Accuracy would not be discussed for our example photosynthesis experiment as qualitative data was collected, however it would if we were measuring gravity using a pendulum:

The measured value of gravity was 9.8 m/s 2 , which is in agreement with the accepted value of 9.8 m/s 2 .

6. Possible improvements 

Identify any errors or risks found in the experiment and provide a method to improve it.

If there are none, then suggest new ways to improve the experimental design, and/or minimise error and risks.

blog-how-to-write-a-scientific-report-improve

Possible improvements could be made by including control experiments. For example, testing whether the iodine solution turns dark purple when added to water or methylated spirits. This would help to ensure that the purple colour observed in the experiments is due to the presence of starch in the leaves rather than impurities.

9. Conclusion

State whether the aim was achieved, and if your hypothesis was supported.

The aim of the investigation was achieved, and it was found that light is required for photosynthesis to occur. This was evidenced by the presence of starch in leaves that had been exposed to light, and the absence of starch in leaves that had been unexposed. These results support the proposed hypothesis.

Written by Matrix Science Team

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© Matrix Education and www.matrix.edu.au, 2023. Unauthorised use and/or duplication of this material without express and written permission from this site’s author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Matrix Education and www.matrix.edu.au with appropriate and specific direction to the original content.

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meaning of scientific research report

Home Market Research

Research Reports: Definition and How to Write Them

Research Reports

Reports are usually spread across a vast horizon of topics but are focused on communicating information about a particular topic and a niche target market. The primary motive of research reports is to convey integral details about a study for marketers to consider while designing new strategies.

Certain events, facts, and other information based on incidents need to be relayed to the people in charge, and creating research reports is the most effective communication tool. Ideal research reports are extremely accurate in the offered information with a clear objective and conclusion. These reports should have a clean and structured format to relay information effectively.

What are Research Reports?

Research reports are recorded data prepared by researchers or statisticians after analyzing the information gathered by conducting organized research, typically in the form of surveys or qualitative methods .

A research report is a reliable source to recount details about a conducted research. It is most often considered to be a true testimony of all the work done to garner specificities of research.

The various sections of a research report are:

  • Background/Introduction
  • Implemented Methods
  • Results based on Analysis
  • Deliberation

Learn more: Quantitative Research

Components of Research Reports

Research is imperative for launching a new product/service or a new feature. The markets today are extremely volatile and competitive due to new entrants every day who may or may not provide effective products. An organization needs to make the right decisions at the right time to be relevant in such a market with updated products that suffice customer demands.

The details of a research report may change with the purpose of research but the main components of a report will remain constant. The research approach of the market researcher also influences the style of writing reports. Here are seven main components of a productive research report:

  • Research Report Summary: The entire objective along with the overview of research are to be included in a summary which is a couple of paragraphs in length. All the multiple components of the research are explained in brief under the report summary.  It should be interesting enough to capture all the key elements of the report.
  • Research Introduction: There always is a primary goal that the researcher is trying to achieve through a report. In the introduction section, he/she can cover answers related to this goal and establish a thesis which will be included to strive and answer it in detail.  This section should answer an integral question: “What is the current situation of the goal?”.  After the research design was conducted, did the organization conclude the goal successfully or they are still a work in progress –  provide such details in the introduction part of the research report.
  • Research Methodology: This is the most important section of the report where all the important information lies. The readers can gain data for the topic along with analyzing the quality of provided content and the research can also be approved by other market researchers . Thus, this section needs to be highly informative with each aspect of research discussed in detail.  Information needs to be expressed in chronological order according to its priority and importance. Researchers should include references in case they gained information from existing techniques.
  • Research Results: A short description of the results along with calculations conducted to achieve the goal will form this section of results. Usually, the exposition after data analysis is carried out in the discussion part of the report.

Learn more: Quantitative Data

  • Research Discussion: The results are discussed in extreme detail in this section along with a comparative analysis of reports that could probably exist in the same domain. Any abnormality uncovered during research will be deliberated in the discussion section.  While writing research reports, the researcher will have to connect the dots on how the results will be applicable in the real world.
  • Research References and Conclusion: Conclude all the research findings along with mentioning each and every author, article or any content piece from where references were taken.

Learn more: Qualitative Observation

15 Tips for Writing Research Reports

Writing research reports in the manner can lead to all the efforts going down the drain. Here are 15 tips for writing impactful research reports:

  • Prepare the context before starting to write and start from the basics:  This was always taught to us in school – be well-prepared before taking a plunge into new topics. The order of survey questions might not be the ideal or most effective order for writing research reports. The idea is to start with a broader topic and work towards a more specific one and focus on a conclusion or support, which a research should support with the facts.  The most difficult thing to do in reporting, without a doubt is to start. Start with the title, the introduction, then document the first discoveries and continue from that. Once the marketers have the information well documented, they can write a general conclusion.
  • Keep the target audience in mind while selecting a format that is clear, logical and obvious to them:  Will the research reports be presented to decision makers or other researchers? What are the general perceptions around that topic? This requires more care and diligence. A researcher will need a significant amount of information to start writing the research report. Be consistent with the wording, the numbering of the annexes and so on. Follow the approved format of the company for the delivery of research reports and demonstrate the integrity of the project with the objectives of the company.
  • Have a clear research objective: A researcher should read the entire proposal again, and make sure that the data they provide contributes to the objectives that were raised from the beginning. Remember that speculations are for conversations, not for research reports, if a researcher speculates, they directly question their own research.
  • Establish a working model:  Each study must have an internal logic, which will have to be established in the report and in the evidence. The researchers’ worst nightmare is to be required to write research reports and realize that key questions were not included.

Learn more: Quantitative Observation

  • Gather all the information about the research topic. Who are the competitors of our customers? Talk to other researchers who have studied the subject of research, know the language of the industry. Misuse of the terms can discourage the readers of research reports from reading further.
  • Read aloud while writing. While reading the report, if the researcher hears something inappropriate, for example, if they stumble over the words when reading them, surely the reader will too. If the researcher can’t put an idea in a single sentence, then it is very long and they must change it so that the idea is clear to everyone.
  • Check grammar and spelling. Without a doubt, good practices help to understand the report. Use verbs in the present tense. Consider using the present tense, which makes the results sound more immediate. Find new words and other ways of saying things. Have fun with the language whenever possible.
  • Discuss only the discoveries that are significant. If some data are not really significant, do not mention them. Remember that not everything is truly important or essential within research reports.

Learn more: Qualitative Data

  • Try and stick to the survey questions. For example, do not say that the people surveyed “were worried” about an research issue , when there are different degrees of concern.
  • The graphs must be clear enough so that they understand themselves. Do not let graphs lead the reader to make mistakes: give them a title, include the indications, the size of the sample, and the correct wording of the question.
  • Be clear with messages. A researcher should always write every section of the report with an accuracy of details and language.
  • Be creative with titles – Particularly in segmentation studies choose names “that give life to research”. Such names can survive for a long time after the initial investigation.
  • Create an effective conclusion: The conclusion in the research reports is the most difficult to write, but it is an incredible opportunity to excel. Make a precise summary. Sometimes it helps to start the conclusion with something specific, then it describes the most important part of the study, and finally, it provides the implications of the conclusions.
  • Get a couple more pair of eyes to read the report. Writers have trouble detecting their own mistakes. But they are responsible for what is presented. Ensure it has been approved by colleagues or friends before sending the find draft out.

Learn more: Market Research and Analysis

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Formatting Science Reports

This section describes an organizational structure commonly used to report experimental research in many scientific disciplines, the IMRAD format: I ntroduction, M ethods, R esults, And D iscussion.

When and when not to use the IMRAD format

Although most scientific reports use the IMRAD format, there are some exceptions.

This format is usually not used in reports describing other kinds of research, such as field or case studies, in which headings are more likely to differ according to discipline. Although the main headings are standard for many scientific fields, details may vary; check with your instructor, or, if submitting an article to a journal, refer to the instructions to authors.

Developing a Title

Titles should.

  • Describe contents clearly and precisely, so that readers can decide whether to read the report
  • Provide key words for indexing

Titles should NOT

  • Include wasted words such as “studies on,” “an investigation of”
  • Use abbreviations and jargon
  • Use “cute” language

Good Titles

The Relationship of Luteinizing Hormone to Obesity in the Zucker Rat

Poor Titles

An Investigation of Hormone Secretion and Weight in Rats Fat Rats: Are Their Hormones Different?

The Abstract

The guidelines below address issues to consider when writing an abstract.

What is the report about, in miniature and without specific details?

  • State main objectives. (What did you investigate? Why?)
  • Describe methods. (What did you do?)
  • Summarize the most important results. (What did you find out?)
  • State major conclusions and significance. (What do your results mean? So what?)

What to avoid:

  • Do not include references to figures, tables, or sources.
  • Do not include information not in report.

Additional tips:

  • Find out maximum length (may vary from 50 to 300+ words).
  • Process: Extract key points from each section. Condense in successive revisions.

The Introduction

Guidelines for effective scientific report introductions.

What is the problem?

  • Describe the problem investigated.
  • Summarize relevant research to provide context, key terms, and concepts so your reader can understand the experiment.

Why is it important?

  • Review relevant research to provide rationale. (What conflict or unanswered question, untested population, untried method in existing research does your experiment address? What findings of others are you challenging or extending?)

What solution (or step toward a solution) do you propose?

  • Briefly describe your experiment: hypothesis(es), research question(s); general experimental design or method; justification of method if alternatives exist.
  • Move from general to specific: problem in real world/research literature –> your experiment.
  • Engage your reader: answer the questions, “What did you do?” “Why should I care?”
  • Make clear the links between problem and solution, question asked and research design, prior research and your experiment.
  • Be selective, not exhaustive, in choosing studies to cite and amount of detail to include. (In general, the more relevant an article is to your study, the more space it deserves and the later in the Introduction it appears.)
  • Ask your instructor whether to summarize results and/or conclusions in the Introduction.

Methods Section

Below are some questions to consider for effective methods sections in scientific reports.

How did you study the problem?

  • Briefly explain the general type of scientific procedure you used.

What did you use?

(May be subheaded as Materials)

  • Describe what materials, subjects, and equipment (chemicals, experimental animals, apparatus, etc.) you used. (These may be subheaded Animals, Reagents, etc.)

How did you proceed?

(May be subheaded as Methods or Procedures)

  • Explain the steps you took in your experiment. (These may be subheaded by experiment, types of assay, etc.)
  • Provide enough detail for replication. For a journal article, include, for example, genus, species, strain of organisms; their source, living conditions, and care; and sources (manufacturer, location) of chemicals and apparatus.
  • Order procedures chronologically or by type of procedure (subheaded) and chronologically within type.
  • Use past tense to describe what you did.
  • Quantify when possible: concentrations, measurements, amounts (all metric); times (24-hour clock); temperatures (centigrade)
  • Don’t include details of common statistical procedures.
  • Don’t mix results with procedures.

Results Section

The section below offers some questions asked for effective results sections in scientific reports.

What did you observe?

For each experiment or procedure:

  • Briefly describe experiment without detail of Methods section (a sentence or two).
  • Representative: most common
  • Best Case: best example of ideal or exception
  • from most to least important
  • from simple to complex
  • organ by organ; chemical class by chemical class
  • Use past tense to describe what happened.
  • Don’t simply repeat table data; select .
  • Don’t interpret results.
  • Avoid extra words: “It is shown in Table 1 that X induced Y” –> “X induced Y (Table 1).”

Discussion Section

The table below offers some questions effective discussion sections in scientific reports address.

What do your observations mean?

  • Summarize the most important findings at the beginning.

What conclusions can you draw?

For each major result:

  • Describe the patterns, principles, relationships your results show.
  • Explain how your results relate to expectations and to literature cited in your Introduction. Do they agree, contradict, or are they exceptions to the rule?
  • Explain plausibly any agreements, contradictions, or exceptions.
  • Describe what additional research might resolve contradictions or explain exceptions.

How do your results fit into a broader context?

  • Suggest the theoretical implications of your results.
  • Suggest practical applications of your results?
  • Extend your findings to other situations or other species.
  • Give the big picture: do your findings help us understand a broader topic?
  • Move from specific to general: your finding(s) –> literature, theory, practice.
  • Don’t ignore or bury the major issue. Did the study achieve the goal (resolve the problem, answer the question, support the hypothesis) presented in the Introduction?
  • Give evidence for each conclusion.
  • Discuss possible reasons for expected and unexpected findings.
  • Don’t overgeneralize.
  • Don’t ignore deviations in your data.
  • Avoid speculation that cannot be tested in the foreseeable future.

meaning of scientific research report

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Scientific Papers

Scientific papers are for sharing your own original research work with other scientists or for reviewing the research conducted by others. As such, they are critical to the evolution of modern science, in which the work of one scientist builds upon that of others. To reach their goal, papers must aim to inform, not impress. They must be highly readable — that is, clear, accurate, and concise. They are more likely to be cited by other scientists if they are helpful rather than cryptic or self-centered.

Scientific papers typically have two audiences: first, the referees, who help the journal editor decide whether a paper is suitable for publication; and second, the journal readers themselves, who may be more or less knowledgeable about the topic addressed in the paper. To be accepted by referees and cited by readers, papers must do more than simply present a chronological account of the research work. Rather, they must convince their audience that the research presented is important, valid, and relevant to other scientists in the same field. To this end, they must emphasize both the motivation for the work and the outcome of it, and they must include just enough evidence to establish the validity of this outcome.

Papers that report experimental work are often structured chronologically in five sections: first, Introduction ; then Materials and Methods , Results , and Discussion (together, these three sections make up the paper's body); and finally, Conclusion .

  • The Introduction section clarifies the motivation for the work presented and prepares readers for the structure of the paper.
  • The Materials and Methods section provides sufficient detail for other scientists to reproduce the experiments presented in the paper. In some journals, this information is placed in an appendix, because it is not what most readers want to know first.
  • The Results and Discussion sections present and discuss the research results, respectively. They are often usefully combined into one section, however, because readers can seldom make sense of results alone without accompanying interpretation — they need to be told what the results mean.
  • The Conclusion section presents the outcome of the work by interpreting the findings at a higher level of abstraction than the Discussion and by relating these findings to the motivation stated in the Introduction .

(Papers reporting something other than experiments, such as a new method or technology, typically have different sections in their body, but they include the same Introduction and Conclusion sections as described above.)

Although the above structure reflects the progression of most research projects, effective papers typically break the chronology in at least three ways to present their content in the order in which the audience will most likely want to read it. First and foremost, they summarize the motivation for, and the outcome of, the work in an abstract, located before the Introduction . In a sense, they reveal the beginning and end of the story — briefly — before providing the full story. Second, they move the more detailed, less important parts of the body to the end of the paper in one or more appendices so that these parts do not stand in the readers' way. Finally, they structure the content in the body in theorem-proof fashion, stating first what readers must remember (for example, as the first sentence of a paragraph) and then presenting evidence to support this statement.

The introduction

  • First, provide some context to orient those readers who are less familiar with your topic and to establish the importance of your work.
  • Second, state the need for your work, as an opposition between what the scientific community currently has and what it wants.
  • Third, indicate what you have done in an effort to address the need (this is the task).
  • Finally, preview the remainder of the paper to mentally prepare readers for its structure, in the object of the document.

Context and need

At the beginning of the Introduction section, the context and need work together as a funnel: They start broad and progressively narrow down to the issue addressed in the paper. To spark interest among your audience — referees and journal readers alike — provide a compelling motivation for the work presented in your paper: The fact that a phenomenon has never been studied before is not, in and of itself, a reason to study that phenomenon.

Write the context in a way that appeals to a broad range of readers and leads into the need. Do not include context for the sake of including context: Rather, provide only what will help readers better understand the need and, especially, its importance. Consider anchoring the context in time, using phrases such as recently , in the past 10 years , or since the early 1990s . You may also want to anchor your context in space (either geographically or within a given research field).

Convey the need for the work as an opposition between actual and desired situations. Start by stating the actual situation (what we have) as a direct continuation of the context. If you feel you must explain recent achievements in much detail — say, in more than one or two paragraphs — consider moving the details to a section titled State of the art (or something similar) after the Introduction , but do provide a brief idea of the actual situation in the Introduction . Next, state the desired situation (what we want). Emphasize the contrast between the actual and desired situations with such words as but , however, or unfortunately .

One elegant way to express the desired part of the need is to combine it with the task in a single sentence. This sentence expresses first the objective, then the action undertaken to reach this objective, thus creating a strong and elegant connection between need and task. Here are three examples of such a combination:

To confirm this assumption , we studied the effects of a range of inhibitors of connexin channels . . . on . . .
To assess whether such multiple-coil sensors perform better than single-signal ones , we tested two of them — the DuoPXK and the GEMM3 — in a field where . . . To form a better view of the global distribution and infectiousness of this pathogen , we examined 1645 postmetamorphic and adult amphibians collected from 27 countries between 1984 and 2006 for the presence of . . .

Task and object

An Introduction is usually clearer and more logical when it separates what the authors have done (the task) from what the paper itself attempts or covers (the object of the document). In other words, the task clarifies your contribution as a scientist, whereas the object of the document prepares readers for the structure of the paper, thus allowing focused or selective reading.

For the task,

  • use whoever did the work (normally, you and your colleagues) as the subject of the sentence: we or perhaps the authors;
  • use a verb expressing a research action: measured , calculated , etc.;
  • set that verb in the past tense.

The three examples below are well-formed tasks.

To confirm this assumption, we studied the effects of a range of inhibitors of connexin channels, such as the connexin mimetic peptides Gap26 and Gap27 and anti-peptide antibodies, on calcium signaling in cardiac cells and HeLa cells expressing connexins.
During controlled experiments, we investigated the influence of the HMP boundary conditions on liver flows.
To tackle this problem, we developed a new software verification technique called oblivious hashing, which calculates the hash values based on the actual execution of the program.

The list below provides examples of verbs that express research actions:

For the object of the document,

  • use the document itself as the subject of the sentence: this paper , this letter , etc.;
  • use a verb expressing a communication action: presents , summarizes , etc.;
  • set the verb in the present tense.

The three examples below are suitable objects of the document for the three tasks shown above, respectively.

This paper clarifies the role of CxHc on calcium oscillations in neonatal cardiac myocytes and calcium transients induced by ATP in HL-cells originated from cardiac atrium and in HeLa cells expressing connexin 43 or 26. This paper presents the flow effects induced by increasing the hepatic-artery pressure and by obstructing the vena cava inferior. This paper discusses the theory behind oblivious hashing and shows how this approach can be applied for local software tamper resistance and remote code authentication.

The list below provides examples of verbs that express communication actions:

Even the most logical structure is of little use if readers do not see and understand it as they progress through a paper. Thus, as you organize the body of your paper into sections and perhaps subsections, remember to prepare your readers for the structure ahead at all levels. You already do so for the overall structure of the body (the sections) in the object of the document at the end of the Introduction . You can similarly prepare your readers for an upcoming division into subsections by introducing a global paragraph between the heading of a section and the heading of its first subsection. This paragraph can contain any information relating to the section as a whole rather than particular subsections, but it should at least announce the subsections, whether explicitly or implicitly. An explicit preview would be phrased much like the object of the document: "This section first . . . , then . . . , and finally . . . "

Although papers can be organized into sections in many ways, those reporting experimental work typically include Materials and Methods , Results , and Discussion in their body. In any case, the paragraphs in these sections should begin with a topic sentence to prepare readers for their contents, allow selective reading, and — ideally — get a message across.

Materials and methods

Results and discussion.

When reporting and discussing your results, do not force your readers to go through everything you went through in chronological order. Instead, state the message of each paragraph upfront: Convey in the first sentence what you want readers to remember from the paragraph as a whole. Focus on what happened, not on the fact that you observed it. Then develop your message in the remainder of the paragraph, including only that information you think you need to convince your audience.

The conclusion

At the end of your Conclusion , consider including perspectives — that is, an idea of what could or should still be done in relation to the issue addressed in the paper. If you include perspectives, clarify whether you are referring to firm plans for yourself and your colleagues ("In the coming months, we will . . . ") or to an invitation to readers ("One remaining question is . . . ").

If your paper includes a well-structured Introduction and an effective abstract, you need not repeat any of the Introduction in the Conclusion . In particular, do not restate what you have done or what the paper does. Instead, focus on what you have found and, especially, on what your findings mean. Do not be afraid to write a short Conclusion section: If you can conclude in just a few sentences given the rich discussion in the body of the paper, then do so. (In other words, resist the temptation to repeat material from the Introduction just to make the Conclusio n longer under the false belief that a longer Conclusion will seem more impressive.)

The abstract

Typically, readers are primarily interested in the information presented in a paper's Introduction and Conclusion sections. Primarily, they want to know the motivation for the work presented and the outcome of this work. Then (and only then) the most specialized among them might want to know the details of the work. Thus, an effective abstract focuses on motivation and outcome; in doing so, it parallels the paper's Introduction and Conclusion .

Accordingly, you can think of an abstract as having two distinct parts — motivation and outcome — even if it is typeset as a single paragraph. For the first part, follow the same structure as the Introduction section of the paper: State the context, the need, the task, and the object of the document. For the second part, mention your findings (the what ) and, especially, your conclusion (the so what — that is, the interpretation of your findings); if appropriate, end with perspectives, as in the Conclusion section of your paper.

Although the structure of the abstract parallels the Introduction and Conclusion sections, it differs from these sections in the audience it addresses. The abstract is read by many different readers, from the most specialized to the least specialized among the target audience. In a sense, it should be the least specialized part of the paper. Any scientist reading it should be able to understand why the work was carried out and why it is important (context and need), what the authors did (task) and what the paper reports about this work (object of the document), what the authors found (findings), what these findings mean (the conclusion), and possibly what the next steps are (perspectives). In contrast, the full paper is typically read by specialists only; its Introduction and Conclusion are more detailed (that is, longer and more specialized) than the abstract.

An effective abstract stands on its own — it can be understood fully even when made available without the full paper. To this end, avoid referring to figures or the bibliography in the abstract. Also, introduce any acronyms the first time you use them in the abstract (if needed), and do so again in the full paper (see Mechanics: Using abbreviations ).

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How to Conduct Scientific Research?

United Nations Educational, Scientific and Cultural Organization (UNESCO) defines research as systematic and creative actions taken to increase knowledge about humans, culture, and society and to apply it in new areas of interest. Scientific research is the research performed by applying systematic and constructed scientific methods to obtain, analyze, and interpret data.

Scientific research is the neutral, systematic, planned, and multiple-step process that uses previously discovered facts to advance knowledge that does not exist in the literature. It can be classified as observational or experimental with respect to data collection techniques, descriptive or analytical with respect to causality, and prospective, retrospective, or cross-sectional with respect to time ( 1 ).

All scientific investigations start with a specific research question and the formulation of a hypothesis to answer this question. Hypothesis should be clear, specific, and directly aim to answer the research question. A strong and testable hypothesis is the fundamental part of the scientific research. The next step is testing the hypothesis using scientific method to approve or disapprove it.

Scientific method should be neutral, objective, rational, and as a result, should be able to approve or disapprove the hypothesis. The research plan should include the procedure to obtain data and evaluate the variables. It should ensure that analyzable data are obtained. It should also include plans on the statistical analysis to be performed. The number of subjects and controls needed to get valid statistical results should be calculated, and data should be obtained in appropriate numbers and methods. The researcher should be continuously observing and recording all data obtained.

Data should be analyzed with the most appropriate statistical methods and be rearranged to make more sense if needed. Unfortunately, results obtained via analyses are not always sufficiently clear. Multiple reevaluations of data, review of the literature, and interpretation of results in light of previous research are required. Only after the completion of these stages can a research be written and presented to the scientific society. A well-conducted and precisely written research should always be open to scientific criticism. It should also be kept in mind that research should be in line with ethical rules all through its stages.

Actually, psychiatric research has been developing rapidly, possibly even more than any other medical field, thus reflecting the utilization of new research methods and advanced treatment technologies. Nevertheless, basic research principles and ethical considerations keep their importance.

Ethics are standards used to differentiate acceptable and unacceptable behavior. Adhering to ethical standards in scientific research is noteworthy because of many different reasons. First, these standards promote the aims of research, such as knowledge, truth, and avoidance of error. For example, prohibitions against fabricating, falsifying, or misrepresenting research data promote truth and minimize error. In addition, ethical standards promote values that are essential to collaborative work, such as trust, accountability, mutual respect, and fairness. Many ethical standards in research, such as guidelines for authorship, copyright and patenting policies, data-sharing policies, and confidentiality rules in peer review, are designed to protect intellectual property interests while encouraging collaboration. Many ethical standards such as policies on research misconduct and conflicts of interest are necessary to ensure that researchers can be held accountable to the public. Last but not the least, ethical standards of research promote a variety of other important moral and social values, such as social responsibility, human rights, animal welfare, compliance with the law, and public health and safety ( 2 ). In conclusion, for the good of science and humanity, research has the inevitable responsibility of precisely transferring the knowledge to new generations ( 3 ).

In medical research, all clinical investigations are obliged to comply with some ethical principles. These principles could be summarized as respect to humans, respect to the society, benefit, harmlessness, autonomy, and justice. Respect to humans indicates that all humans have the right to refuse to participate in an investigation or to withdraw their consent any time without any repercussions. Respect to society indicates that clinical research should seek answers to scientific questions using scientific methods and should benefit the society. Benefit indicates that research outcomes are supposed to provide solutions to a health problem. Harmlessness describes all necessary precautions that are taken to protect volunteers from potential harm. Autonomy indicates that participating in research is voluntary and with freewill. Justice indicates that subject selection is based on justice and special care is taken for special groups that could be easily traumatized ( 4 ).

In psychiatric studies, if the patient is not capable of giving consent, the relatives have the right to consent on behalf of the patient. This is based on the idea of providing benefit to the patient with discovery of new treatment methods via research. However, the relatives’ consent rights are under debate from an ethical point of view. On the other hand, research on those patients aim to directly get new knowledge about them, and it looks like an inevitable necessity. The only precaution that could be taken to overcome this ambivalence has been the scrupulous audit of the Research Ethic Committees. Still, there are many examples that show that this method is not always able to prevent patient abuse ( 5 ). Therefore, it is difficult to claim autonomy when psychiatric patients are studied, and psychiatric patients are considered among patients to require special care.

We are proud to publish in our journal studies that overcome many burdens.

How to write a scientific report at university

David foster, professor in science and engineering at the university of manchester, explains the best way to write a successful scientific report.

David H Foster's avatar

David H Foster

laptop showing business analytics dashboard with charts, metrics and data analysis/ iStock

At university, you might need to write scientific reports for laboratory experiments, computing and theoretical projects, and literature-based studies – and some eventually as research dissertations. All have a similar structure modelled on scientific journal articles. Their special format helps readers to navigate, understand and make comparisons across the research field.

Scientific report structure

The main components are similar for many subject areas, though some sections might be optional.

If you can choose a title, make it informative and not more than around 12 words. This is the average for scientific articles. Make every word count.  

The abstract summarises your report’s content in a restricted word limit. It might be read separately from your full report, so it should contain a micro-report, without references or personalisation.  

Usual elements you can include:  

  • Some background to the research area.
  • Reason for the work.
  • Main results.
  • Any implications.

Ensure you omit empty statements such as “results are discussed”, as they usually are.  

Introduction  

The introduction should give enough background for readers to assess your work without consulting previous publications.  

It can be organised along these lines:  

  • An opening statement to set the context.  
  • A summary of relevant published research.
  • Your research question, hypothesis or other motivation.  
  • The purpose of your work.
  • An indication of methodology.
  • Your outcome.

Choose citations to any previous research carefully. They should reflect priority and importance, not necessarily recency. Your choices signal your grasp of the field.  

Literature review  

Dissertations and literature-based studies demand a more comprehensive review of published research than is summarised in the introduction. Fortunately, you don’t need to examine thousands of articles. Just proceed systematically.  

  • Use two to three published reviews to familiarise yourself with the field.  
  • Use authoritative databases such as Scopus or Web of Science to find the most frequently cited articles.  
  • Read these articles, noting key points. Experiment with their order and then turn them into sentences, in your own words.  
  • Get advice about expected review length and database usage from your individual programme.

Aims and objectives  

Although the introduction describes the purpose of your work, dissertations might require something more accountable, with distinct aims and objectives.

The aim or aims represent the overall goal (for example, to land people on the moon). The objectives are the individual tasks that together achieve this goal (build rocket, recruit volunteers, launch rocket and so on).

The method section must give enough detail for a competent researcher to repeat your work. Technical descriptions should be accessible, so use generic names for equipment with proprietary names in parentheses (model, year, manufacturer, for example). Ensure that essential steps are clear, especially any affecting your conclusions.

The results section should contain mainly data and analysis. Start with a sentence or two to orient your reader. For numeric data, use graphs over tables and try to make graphs self-explanatory. Leave any interpretations for the discussion section.

The purpose of the discussion is to say what your results mean. Useful items to include:  

  • A reminder of the reason for the work.
  • A review of the results. Ensure you are not repeating the results themselves; this should be more about your thoughts on them.
  • The relationship between your results and the original objective.
  • Their relationship to the literature, with citations.  
  • Any limitations of your results.  
  • Any knowledge you gained, new questions or longer-term implications.

The last item might form a concluding paragraph or be placed in a separate conclusion section. If your report is an internal document, ensure you only refer to your future research plans.  

Try to finish with a “take-home” message complementing the opening of your introduction. For example: “This analysis has shown the process is feasible, but cost will decide its acceptability.”  

Five common mistakes to avoid when writing your doctoral dissertation   9 tips to improve your academic writing Five resources to help students with academic writing

Acknowledgements  

If appropriate, thank colleagues for advice, reading your report and technical support. Make sure that you secure their agreement first. Thank any funding agency. Avoid emotional declarations that you might later regret. That is all that is required in this section.  

Referencing  

Giving references ensures other authors’ ideas, procedures, results and inferences are credited. Use Web of Science or Scopus as mentioned earlier. Avoid databases giving online sources without journal publication details because they might be unreliable.

Don’t refer to Wikipedia. It isn’t a citable source.  

Use one referencing style consistently and make sure it matches the required style of your degree or department. Choose either numbers or author and year to refer to the full references listed near the end of your report. Include all publication details, not just website links. Every reference should be cited in the text.  

Figures and tables  

Each figure should have a caption below with a label, such as “Fig. 1”, with a title and a sentence or two about what it shows. Similarly for tables, except that the title appears above. Every figure and table should be cited in the text.

Theoretical studies  

More flexibility is possible with theoretical reports, but extra care is needed with logical development and mathematical presentation. An introduction and discussion are still needed, and possibly a literature review.

Final steps

Check that your report satisfies the formatting requirements of your department or degree programme. Check for grammatical errors, misspellings, informal language, punctuation, typos and repetition or omission.

Ask fellow students to read your report critically. Then rewrite it. Put it aside for a few days and read it afresh, making any new edits you’ve noticed. Keep up this process until you are happy with the final report. 

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Chapter 1 Science and Scientific Research

What is research? Depending on who you ask, you will likely get very different answers to this seemingly innocuous question. Some people will say that they routinely research different online websites to find the best place to buy goods or services they want. Television news channels supposedly conduct research in the form of viewer polls on topics of public interest such as forthcoming elections or government-funded projects. Undergraduate students research the Internet to find the information they need to complete assigned projects or term papers. Graduate students working on research projects for a professor may see research as collecting or analyzing data related to their project. Businesses and consultants research different potential solutions to remedy organizational problems such as a supply chain bottleneck or to identify customer purchase patterns. However, none of the above can be considered “scientific research” unless: (1) it contributes to a body of science, and (2) it follows the scientific method. This chapter will examine what these terms mean.

What is science? To some, science refers to difficult high school or college-level courses such as physics, chemistry, and biology meant only for the brightest students. To others, science is a craft practiced by scientists in white coats using specialized equipment in their laboratories. Etymologically, the word “science” is derived from the Latin word scientia meaning knowledge. Science refers to a systematic and organized body of knowledge in any area of inquiry that is acquired using “the scientific method” (the scientific method is described further below). Science can be grouped into two broad categories: natural science and social science. Natural science is the science of naturally occurring objects or phenomena, such as light, objects, matter, earth, celestial bodies, or the human body. Natural sciences can be further classified into physical sciences, earth sciences, life sciences, and others. Physical sciences consist of disciplines such as physics (the science of physical objects), chemistry (the science of matter), and astronomy (the science of celestial objects). Earth sciences consist of disciplines such as geology (the science of the earth). Life sciences include disciplines such as biology (the science of human bodies) and botany (the science of plants). In contrast, social science is the science of people or collections of people, such as groups, firms, societies, or economies, and their individual or collective behaviors. Social sciences can be classified into disciplines such as psychology (the science of human behaviors), sociology (the science of social groups), and economics (the science of firms, markets, and economies).

The natural sciences are different from the social sciences in several respects. The natural sciences are very precise, accurate, deterministic, and independent of the person m aking the scientific observations. For instance, a scientific experiment in physics, such as measuring the speed of sound through a certain media or the refractive index of water, should always yield the exact same results, irrespective of the time or place of the experiment, or the person conducting the experiment. If two students conducting the same physics experiment obtain two different values of these physical properties, then it generally means that one or both of those students must be in error. However, the same cannot be said for the social sciences, which tend to be less accurate, deterministic, or unambiguous. For instance, if you measure a person’s happiness using a hypothetical instrument, you may find that the same person is more happy or less happy (or sad) on different days and sometimes, at different times on the same day. One’s happiness may vary depending on the news that person received that day or on the events that transpired earlier during that day. Furthermore, there is not a single instrument or metric that can accurately measure a person’s happiness. Hence, one instrument may calibrate a person as being “more happy” while a second instrument may find that the same person is “less happy” at the same instant in time. In other words, there is a high degree of measurement error in the social sciences and there is considerable uncertainty and little agreement on social science policy decisions. For instance, you will not find many disagreements among natural scientists on the speed of light or the speed of the earth around the sun, but you will find numerous disagreements among social scientists on how to solve a social problem such as reduce global terrorism or rescue an economy from a recession. Any student studying the social sciences must be cognizant of and comfortable with handling higher levels of ambiguity, uncertainty, and error that come with such sciences, which merely reflects the high variability of social objects.

Sciences can also be classified based on their purpose. Basic sciences , also called pure sciences, are those that explain the most basic objects and forces, relationships between them, and laws governing them. Examples include physics, mathematics, and biology. Applied sciences , also called practical sciences, are sciences that apply scientific knowledge from basic sciences in a physical environment. For instance, engineering is an applied science that applies the laws of physics and chemistry for practical applications such as building stronger bridges or fuel efficient combustion engines, while medicine is an applied science that applies the laws of biology for solving human ailments. Both basic and applied sciences are required for human development. However, applied sciences cannot stand on their own right, but instead relies on basic sciences for its progress. Of course, the industry and private enterprises tend to focus more on applied sciences given their practical value, while universities study both basic and applied sciences.

Scientific Knowledge

The purpose of science is to create scientific knowledge. Scientific knowledge refers to a generalized body of laws and theories to explain a phenomenon or behavior of interest that are acquired using the scientific method. Laws are observed patterns of phenomena or behaviors, while theories are systematic explanations of the underlying phenomenon or behavior. For instance, in physics, the Newtonian Laws of Motion describe what happens when an object is in a state of rest or motion (Newton’s First Law), what force is needed to move a stationary object or stop a moving object (Newton’s Second Law), and what happens when two objects collide (Newton’s Third Law). Collectively, the three laws constitute the basis of classical mechanics – a theory of moving objects. Likewise, the theory of optics explains the properties of light and how it behaves in different media, electromagnetic theory explains the properties of electricity and how to generate it, quantum mechanics explains the properties of subatomic \particles, and thermodynamics explains the properties of energy and mechanical work. An introductory college level text book in physics will likely contain separate chapters devoted to each of these theories. Similar theories are also available in social sciences. For instance, cognitive dissonance theory in psychology explains how people react when their observations of an event is different from what they expected of that event, general deterrence theory explains why some people engage in improper or criminal behaviors, such as illegally download music or commit software piracy, and the theory of planned behavior explains how people make conscious reasoned choices in their everyday lives.

The goal of scientific research is to discover laws and postulate theories that can explain natural or social phenomena, or in other words, build scientific knowledge. It is important to understand that this knowledge may be imperfect or even quite far from the truth. Sometimes, there may not be a single universal truth, but rather an equilibrium of “multiple truths.” We must understand that the theories, upon which scientific knowledge is based, are only explanations of a particular phenomenon, as suggested by a scientist. As such, there may be good or poor explanations, depending on the extent to which those explanations fit well with reality, and consequently, there may be good or poor theories. The progress of science is marked by our progression over time from poorer theories to better theories, through better observations using more accurate instruments and more informed logical reasoning.

We arrive at scientific laws or theories through a process of logic and evidence. Logic (theory) and evidence (observations) are the two, and only two, pillars upon which scientific knowledge is based. In science, theories and observations are interrelated and cannot exist without each other. Theories provide meaning and significance to what we observe, and observations help validate or refine existing theory or construct new theory. Any other means of knowledge acquisition, such as faith or authority cannot be considered science.

Scientific Research

Given that theories and observations are the two pillars of science, scientific research operates at two levels: a theoretical level and an empirical level. The theoretical level is concerned with developing abstract concepts about a natural or social phenomenon and relationships between those concepts (i.e., build “theories”), while the empirical level is concerned with testing the theoretical concepts and relationships to see how well they reflect our observations of reality, with the goal of ultimately building better theories. Over time, a theory becomes more and more refined (i.e., fits the observed reality better), and the science gains maturity. Scientific research involves continually moving back and forth between theory and observations. Both theory and observations are essential components of scientific research. For instance, relying solely on observations for making inferences and ignoring theory is not considered valid scientific research.

Depending on a researcher’s training and interest, scientific inquiry may take one of two possible forms: inductive or deductive. In inductive research , the goal of a researcher is to infer theoretical concepts and patterns from observed data. In deductive research , the goal of the researcher is to test concepts and patterns known from theory using new empirical data. Hence, inductive research is also called theory-building research, and deductive research is theory-testing research. Note here that the goal of theory-testing is not just to test a theory, but possibly to refine, improve, and extend it. Figure 1.1 depicts the complementary nature of inductive and deductive research. Note that inductive and deductive research are two halves of the research cycle that constantly iterates between theory and observations. You cannot do inductive or deductive research if you are not familiar with both the theory and data components of research. Naturally, a complete researcher is one who can traverse the entire research cycle and can handle both inductive and deductive research.

It is important to understand that theory-building (inductive research) and theory-testing (deductive research) are both critical for the advancement of science. Elegant theories are not valuable if they do not match with reality. Likewise, mountains of data are also useless until they can contribute to the construction to meaningful theories. Rather than viewing these two processes in a circular relationship, as shown in Figure 1.1, perhaps they can be better viewed as a helix, with each iteration between theory and data contributing to better explanations of the phenomenon of interest and better theories. Though both inductive and deductive research are important for the advancement of science, it appears that inductive (theory-building) research is more valuable when there are few prior theories or explanations, while deductive (theory-testing) research is more productive when there are many competing theories of the same phenomenon and researchers are interested in knowing which theory works best and under what circumstances.

Theories lead to testing hypothesis which leads to observations, which lead to generalization from observations, which again leads to theories.

Figure 1.1. The Cycle of Research

Theory building and theory testing are particularly difficult in the social sciences, given the imprecise nature of the theoretical concepts, inadequate tools to measure them, and the presence of many unaccounted factors that can also influence the phenomenon of interest. It is also very difficult to refute theories that do not work. For instance, Karl Marx’s theory of communism as an effective means of economic production withstood for decades, before it was finally discredited as being inferior to capitalism in promoting economic growth and social welfare. Erstwhile communist economies like the Soviet Union and China eventually moved toward more capitalistic economies characterized by profit-maximizing private enterprises. However, the recent collapse of the mortgage and financial industries in the United States demonstrates that capitalism also has its flaws and is not as effective in fostering economic growth and social welfare as previously presumed. Unlike theories in the natural sciences, social science theories are rarely perfect, which provides numerous opportunities for researchers to improve those theories or build their own alternative theories.

Conducting scientific research, therefore, requires two sets of skills – theoretical and methodological – needed to operate in the theoretical and empirical levels respectively. Methodological skills (“know-how”) are relatively standard, invariant across disciplines, and easily acquired through doctoral programs. However, theoretical skills (“know-what”) is considerably harder to master, requires years of observation and reflection, and are tacit skills that cannot be “taught” but rather learned though experience. All of the greatest scientists in the history of mankind, such as Galileo, Newton, Einstein, Neils Bohr, Adam Smith, Charles Darwin, and Herbert Simon, were master theoreticians, and they are remembered for the theories they postulated that transformed the course of science. Methodological skills are needed to be an ordinary researcher, but theoretical skills are needed to be an extraordinary researcher!

Scientific Method

In the preceding sections, we described science as knowledge acquired through a scientific method. So what exactly is the “scientific method”? Scientific method refers to a standardized set of techniques for building scientific knowledge, such as how to make valid observations, how to interpret results, and how to generalize those results. The scientific method allows researchers to independently and impartially test preexisting theories and prior findings, and subject them to open debate, modifications, or enhancements. The scientific method must satisfy four characteristics:

  • Replicability: Others should be able to independently replicate or repeat a scientific study and obtain similar, if not identical, results.
  • Precision: Theoretical concepts, which are often hard to measure, must be defined with such precision that others can use those definitions to measure those concepts and test that theory.
  • Falsifiability: A theory must be stated in a way that it can be disproven. Theories that cannot be tested or falsified are not scientific theories and any such knowledge is not scientific knowledge. A theory that is specified in imprecise terms or whose concepts are not accurately measurable cannot be tested, and is therefore not scientific. Sigmund Freud’s ideas on psychoanalysis fall into this category and is therefore not considered a

“theory”, even though psychoanalysis may have practical utility in treating certain types of ailments.

  • Parsimony: When there are multiple explanations of a phenomenon, scientists must always accept the simplest or logically most economical explanation. This concept is called parsimony or “Occam’s razor.” Parsimony prevents scientists from pursuing overly complex or outlandish theories with endless number of concepts and relationships that may explain a little bit of everything but nothing in particular.

Any branch of inquiry that does not allow the scientific method to test its basic laws or theories cannot be called “science.” For instance, theology (the study of religion) is not science because theological ideas (such as the presence of God) cannot be tested by independent observers using a replicable, precise, falsifiable, and parsimonious method. Similarly, arts, music, literature, humanities, and law are also not considered science, even though they are creative and worthwhile endeavors in their own right.

The scientific method, as applied to social sciences, includes a variety of research approaches, tools, and techniques, such as qualitative and quantitative data, statistical analysis, experiments, field surveys, case research, and so forth. Most of this book is devoted to learning about these different methods. However, recognize that the scientific method operates primarily at the empirical level of research, i.e., how to make observations and analyze and interpret these observations. Very little of this method is directly pertinent to the theoretical level, which is really the more challenging part of scientific research.

Types of Scientific Research

Depending on the purpose of research, scientific research projects can be grouped into three types: exploratory, descriptive, and explanatory. Exploratory research is often conducted in new areas of inquiry, where the goals of the research are: (1) to scope out the magnitude or extent of a particular phenomenon, problem, or behavior, (2) to generate some initial ideas (or “hunches”) about that phenomenon, or (3) to test the feasibility of undertaking a more extensive study regarding that phenomenon. For instance, if the citizens of a country are generally dissatisfied with governmental policies regarding during an economic recession, exploratory research may be directed at measuring the extent of citizens’ dissatisfaction, understanding how such dissatisfaction is manifested, such as the frequency of public protests, and the presumed causes of such dissatisfaction, such as ineffective government policies in dealing with inflation, interest rates, unemployment, or higher taxes. Such research may include examination of publicly reported figures, such as estimates of economic indicators, such as gross domestic product (GDP), unemployment, and consumer price index, as archived by third-party sources, obtained through interviews of experts, eminent economists, or key government officials, and/or derived from studying historical examples of dealing with similar problems. This research may not lead to a very accurate understanding of the target problem, but may be worthwhile in scoping out the nature and extent of the problem and serve as a useful precursor to more in-depth research.

Descriptive research is directed at making careful observations and detailed documentation of a phenomenon of interest. These observations must be based on the scientific method (i.e., must be replicable, precise, etc.), and therefore, are more reliable than casual observations by untrained people. Examples of descriptive research are tabulation of demographic statistics by the United States Census Bureau or employment statistics by the Bureau of Labor, who use the same or similar instruments for estimating employment by sector or population growth by ethnicity over multiple employment surveys or censuses. If any changes are made to the measuring instruments, estimates are provided with and without the changed instrumentation to allow the readers to make a fair before-and-after comparison regarding population or employment trends. Other descriptive research may include chronicling ethnographic reports of gang activities among adolescent youth in urban populations, the persistence or evolution of religious, cultural, or ethnic practices in select communities, and the role of technologies such as Twitter and instant messaging in the spread of democracy movements in Middle Eastern countries.

Explanatory research seeks explanations of observed phenomena, problems, or behaviors. While descriptive research examines the what, where, and when of a phenomenon, explanatory research seeks answers to why and how types of questions. It attempts to “connect the dots” in research, by identifying causal factors and outcomes of the target phenomenon. Examples include understanding the reasons behind adolescent crime or gang violence, with the goal of prescribing strategies to overcome such societal ailments. Most academic or doctoral research belongs to the explanation category, though some amount of exploratory and/or descriptive research may also be needed during initial phases of academic research. Seeking explanations for observed events requires strong theoretical and interpretation skills, along with intuition, insights, and personal experience. Those who can do it well are also the most prized scientists in their disciplines.

History of Scientific Thought

Before closing this chapter, it may be interesting to go back in history and see how science has evolved over time and identify the key scientific minds in this evolution. Although instances of scientific progress have been documented over many centuries, the terms “science,” “scientists,” and the “scientific method” were coined only in the 19 th century. Prior to this time, science was viewed as a part of philosophy, and coexisted with other branches of philosophy such as logic, metaphysics, ethics, and aesthetics, although the boundaries between some of these branches were blurred.

In the earliest days of human inquiry, knowledge was usually recognized in terms of theological precepts based on faith. This was challenged by Greek philosophers such as Plato, Aristotle, and Socrates during the 3 rd century BC, who suggested that the fundamental nature of being and the world can be understood more accurately through a process of systematic logical reasoning called rationalism . In particular, Aristotle’s classic work Metaphysics (literally meaning “beyond physical [existence]”) separated theology (the study of Gods) from ontology (the study of being and existence) and universal science (the study of first principles, upon which logic is based). Rationalism (not to be confused with “rationality”) views reason as the source of knowledge or justification, and suggests that the criterion of truth is not sensory but rather intellectual and deductive, often derived from a set of first principles or axioms (such as Aristotle’s “law of non-contradiction”).

The next major shift in scientific thought occurred during the 16 th century, when British philosopher Francis Bacon (1561-1626) suggested that knowledge can only be derived from observations in the real world. Based on this premise, Bacon emphasized knowledge acquisition as an empirical activity (rather than as a reasoning activity), and developed empiricism as an influential branch of philosophy. Bacon’s works led to the popularization of inductive methods of scientific inquiry, the development of the “scientific method” (originally called the “Baconian method”), consisting of systematic observation, measurement, and experimentation, and may have even sowed the seeds of atheism or the rejection of theological precepts as “unobservable.”

Empiricism continued to clash with rationalism throughout the Middle Ages, as philosophers sought the most effective way of gaining valid knowledge. French philosopher Rene Descartes sided with the rationalists, while British philosophers John Locke and David Hume sided with the empiricists. Other scientists, such as Galileo Galilei and Sir Issac Newton, attempted to fuse the two ideas into natural philosophy (the philosophy of nature), to focus specifically on understanding nature and the physical universe, which is considered to be the precursor of the natural sciences. Galileo (1564-1642) was perhaps the first to state that the laws of nature are mathematical, and contributed to the field of astronomy through an innovative combination of experimentation and mathematics.

In the 18 th century, German philosopher Immanuel Kant sought to resolve the dispute between empiricism and rationalism in his book Critique of Pure Reason , by arguing that experience is purely subjective and processing them using pure reason without first delving into the subjective nature of experiences will lead to theoretical illusions. Kant’s ideas led to the development of German idealism , which inspired later development of interpretive techniques such as phenomenology, hermeneutics, and critical social theory.

At about the same time, French philosopher Auguste Comte (1798–1857), founder of the discipline of sociology, attempted to blend rationalism and empiricism in a new doctrine called positivism . He suggested that theory and observations have circular dependence on each other. While theories may be created via reasoning, they are only authentic if they can be verified through observations. The emphasis on verification started the separation of modern science from philosophy and metaphysics and further development of the “scientific method” as the primary means of validating scientific claims. Comte’s ideas were expanded by Emile Durkheim in his development of sociological positivism (positivism as a foundation for social research) and Ludwig Wittgenstein in logical positivism.

In the early 20 th century, strong accounts of positivism were rejected by interpretive sociologists (antipositivists) belonging to the German idealism school of thought. Positivism was typically equated with quantitative research methods such as experiments and surveys and without any explicit philosophical commitments, while antipositivism employed qualitative methods such as unstructured interviews and participant observation. Even practitioners of positivism, such as American sociologist Paul Lazarsfield who pioneered large-scale survey research and statistical techniques for analyzing survey data, acknowledged potential problems of observer bias and structural limitations in positivist inquiry. In response, antipositivists emphasized that social actions must be studied though interpretive means based upon an understanding the meaning and purpose that individuals attach to their personal actions, which inspired Georg Simmel’s work on symbolic interactionism, Max Weber’s work on ideal types, and Edmund Husserl’s work on phenomenology.

In the mid-to-late 20 th century, both positivist and antipositivist schools of thought were subjected to criticisms and modifications. British philosopher Sir Karl Popper suggested that human knowledge is based not on unchallengeable, rock solid foundations, but rather on a set of tentative conjectures that can never be proven conclusively, but only disproven. Empirical evidence is the basis for disproving these conjectures or “theories.” This metatheoretical stance, called postpositivism (or postempiricism), amends positivism by suggesting that it is impossible to verify the truth although it is possible to reject false beliefs, though it retains the positivist notion of an objective truth and its emphasis on the scientific method.

Likewise, antipositivists have also been criticized for trying only to understand society but not critiquing and changing society for the better. The roots of this thought lie in Das Capital , written by German philosophers Karl Marx and Friedrich Engels, which critiqued capitalistic societies as being social inequitable and inefficient, and recommended resolving this inequity through class conflict and proletarian revolutions. Marxism inspired social revolutions in countries such as Germany, Italy, Russia, and China, but generally failed to accomplish the social equality that it aspired. Critical research (also called critical theory) propounded by Max Horkheimer and Jurgen Habermas in the 20 th century, retains similar ideas of critiquing and resolving social inequality, and adds that people can and should consciously act to change their social and economic circumstances, although their ability to do so is constrained by various forms of social, cultural and political domination. Critical research attempts to uncover and critique the restrictive and alienating conditions of the status quo by analyzing the oppositions, conflicts and contradictions in contemporary society, and seeks to eliminate the causes of alienation and domination (i.e., emancipate the oppressed class). More on these different research philosophies and approaches will be covered in future chapters of this book.

  • Social Science Research: Principles, Methods, and Practices. Authored by : Anol Bhattacherjee. Provided by : University of South Florida. Located at : http://scholarcommons.usf.edu/oa_textbooks/3/ . License : CC BY-NC-SA: Attribution-NonCommercial-ShareAlike
  • Research Guides

BSCI 1510L Literature and Stats Guide: 1 What is a scientific paper?

1 what is a scientific paper.

  • 2 Referencing and accessing papers
  • 2.1 Literature Cited
  • 2.2 Accessing Scientific Papers
  • 2.3 Traversing the web of citations
  • 2.4 Keyword Searches
  • 3 Style of scientific writing
  • 3.1 Specific details regarding scientific writing
  • 3.2 Components of a scientific paper
  • 4 For further information
  • Appendix A: Calculation Final Concentrations
  • 1 Formulas in Excel
  • 2 Basic operations in Excel
  • 3 Measurement and Variation
  • 3.1 Describing Quantities and Their Variation
  • 3.2 Samples Versus Populations
  • 3.3 Calculating Descriptive Statistics using Excel
  • 4 Variation and differences
  • 5 Differences in Experimental Science
  • 5.1 Aside: Commuting to Nashville
  • 5.2 P and Detecting Differences in Variable Quantities
  • 5.3 Statistical significance
  • 5.4 A test for differences of sample means: 95% Confidence Intervals
  • 5.5 Error bars in figures
  • 5.6 Discussing statistics in your scientific writing
  • 6 Scatter plot, trendline, and linear regression
  • 7 The t-test of Means
  • 8 Paired t-test
  • 9 Two-Tailed and One-Tailed Tests
  • 10 Variation on t-tests: ANOVA
  • 11 Reporting the Results of a Statistical Test
  • 12 Summary of statistical tests
  • 1 Objectives
  • 2 Project timeline
  • 3 Background
  • 4 Previous work in the BSCI 111 class
  • 5 General notes about the project
  • 6 About the paper
  • 7 References

Scientific papers (also known as a "journal articles") are a special type of written work that have particular characteristics:

  • They are usually published in a periodical called a journal whose purpose is to publish this kind of work.  Generally, journals differ greatly from general interest writing on scientific topics such as magazine articles and science news (e.g. those in National Geographic, Scientific American, Discover, etc.) although some journals also have a section devoted to general interest writing.  Occasionally scientific papers are compiled in book form but this is not the norm.
  • They are peer reviewed .  That means that the paper has been subjected to the scrutiny of several experts in the field who verify the quality of the writing and the accuracy of the analysis and conclusions drawn by the authors. 
  • They are citable .  This means that: the content is stable, the journal is readily available in libraries and (usually) through the Web, and there are standardized methods of identifying a particular article.  Thus an author can refer to a paper with confidence that a reader can easily look up that reference at any point in the future.
  • They include citations .  This means that the paper frequently makes reference to previous publications that are relevant to the work being discussed.  All cited works are listed in a reference section at the end of the paper.  Footnotes at the bottom of each pager are not used to make citations. 
  • Introduction
  • References/Literature cited
  • They follow a standardized style of writing and data presentation.
  • << Previous: Scientific Literature Guide
  • Next: 2 Referencing and accessing papers >>
  • Last Updated: Apr 22, 2024 12:50 PM
  • URL: https://researchguides.library.vanderbilt.edu/bsci1510L

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  • Research Guides

Organizing Your Social Sciences Research Paper

  • Executive Summary
  • Purpose of Guide
  • Design Flaws to Avoid
  • Independent and Dependent Variables
  • Glossary of Research Terms
  • Reading Research Effectively
  • Narrowing a Topic Idea
  • Broadening a Topic Idea
  • Extending the Timeliness of a Topic Idea
  • Academic Writing Style
  • Applying Critical Thinking
  • Choosing a Title
  • Making an Outline
  • Paragraph Development
  • Research Process Video Series
  • The C.A.R.S. Model
  • Background Information
  • The Research Problem/Question
  • Theoretical Framework
  • Citation Tracking
  • Content Alert Services
  • Evaluating Sources
  • Primary Sources
  • Secondary Sources
  • Tiertiary Sources
  • Scholarly vs. Popular Publications
  • Qualitative Methods
  • Quantitative Methods
  • Insiderness
  • Using Non-Textual Elements
  • Limitations of the Study
  • Common Grammar Mistakes
  • Writing Concisely
  • Avoiding Plagiarism
  • Footnotes or Endnotes?
  • Further Readings
  • Generative AI and Writing
  • USC Libraries Tutorials and Other Guides
  • Bibliography

An executive summary is a thorough overview of a research report or other type of document that synthesizes key points for its readers, saving them time and preparing them to understand the study's overall content. It is a separate, stand-alone document of sufficient detail and clarity to ensure that the reader can completely understand the contents of the main research study. An executive summary can be anywhere from 1-10 pages long depending on the length of the report, or it can be the summary of more than one document [e.g., papers submitted for a group project].

Bailey, Edward, P. The Plain English Approach to Business Writing . (New York: Oxford University Press, 1997), p. 73-80 Todorovic, Zelimir William and Marietta Wolczacka Frye. “Writing Effective Executive Summaries: An Interdisciplinary Examination.” In United States Association for Small Business and Entrepreneurship. Conference Proceedings . (Decatur, IL: United States Association for Small Business and Entrepreneurship, 2009): pp. 662-691.

Importance of a Good Executive Summary

Although an executive summary is similar to an abstract in that they both summarize the contents of a research study, there are several key differences. With research abstracts, the author's recommendations are rarely included, or if they are, they are implicit rather than explicit. Recommendations are generally not stated in academic abstracts because scholars operate in a discursive environment, where debates, discussions, and dialogs are meant to precede the implementation of any new research findings. The conceptual nature of much academic writing also means that recommendations arising from the findings are distributed widely and not easily or usefully encapsulated. Executive summaries are used mainly when a research study has been developed for an organizational partner, funding entity, or other external group that participated in the research . In such cases, the research report and executive summary are often written for policy makers outside of academe, while abstracts are written for the academic community. Professors, therefore, assign the writing of executive summaries so students can practice synthesizing and writing about the contents of comprehensive research studies for external stakeholder groups.

When preparing to write, keep in mind that:

  • An executive summary is not an abstract.
  • An executive summary is not an introduction.
  • An executive summary is not a preface.
  • An executive summary is not a random collection of highlights.

Christensen, Jay. Executive Summaries Complete The Report. California State University Northridge; Clayton, John. "Writing an Executive Summary that Means Business." Harvard Management Communication Letter (July 2003): 2-4; Keller, Chuck. "Stay Healthy with a Winning Executive Summary." Technical Communication 41 (1994): 511-517; Murphy, Herta A., Herbert W. Hildebrandt, and Jane P. Thomas. Effective Business Communications . New York: McGraw-Hill, 1997; Vassallo, Philip. "Executive Summaries: Where Less Really is More." ETC.: A Review of General Semantics 60 (Spring 2003): 83-90 .

Structure and Writing Style

Writing an Executive Summary

Read the Entire Document This may go without saying, but it is critically important that you read the entire research study thoroughly from start to finish before you begin to write the executive summary. Take notes as you go along, highlighting important statements of fact, key findings, and recommended courses of action. This will better prepare you for how to organize and summarize the study. Remember this is not a brief abstract of 300 words or less but, essentially, a mini-paper of your paper, with a focus on recommendations.

Isolate the Major Points Within the Original Document Choose which parts of the document are the most important to those who will read it. These points must be included within the executive summary in order to provide a thorough and complete explanation of what the document is trying to convey.

Separate the Main Sections Closely examine each section of the original document and discern the main differences in each. After you have a firm understanding about what each section offers in respect to the other sections, write a few sentences for each section describing the main ideas. Although the format may vary, the main sections of an executive summary likely will include the following:

  • An opening statement, with brief background information,
  • The purpose of research study,
  • Method of data gathering and analysis,
  • Overview of findings, and,
  • A description of each recommendation, accompanied by a justification. Note that the recommendations are sometimes quoted verbatim from the research study.

Combine the Information Use the information gathered to combine them into an executive summary that is no longer than 10% of the original document. Be concise! The purpose is to provide a brief explanation of the entire document with a focus on the recommendations that have emerged from your research. How you word this will likely differ depending on your audience and what they care about most. If necessary, selectively incorporate bullet points for emphasis and brevity. Re-read your Executive Summary After you've completed your executive summary, let it sit for a while before coming back to re-read it. Check to make sure that the summary will make sense as a separate document from the full research study. By taking some time before re-reading it, you allow yourself to see the summary with fresh, unbiased eyes.

Common Mistakes to Avoid

Length of the Executive Summary As a general rule, the correct length of an executive summary is that it meets the criteria of no more pages than 10% of the number of pages in the original document, with an upper limit of no more than ten pages [i.e., ten pages for a 100 page document]. This requirement keeps the document short enough to be read by your audience, but long enough to allow it to be a complete, stand-alone synopsis. Cutting and Pasting With the exception of specific recommendations made in the study, do not simply cut and paste whole sections of the original document into the executive summary. You should paraphrase information from the longer document. Avoid taking up space with excessive subtitles and lists, unless they are absolutely necessary for the reader to have a complete understanding of the original document. Consider the Audience Although unlikely to be required by your professor, there is the possibility that more than one executive summary will have to be written for a given document [e.g., one for policy-makers, one for private industry, one for philanthropists]. This may only necessitate the rewriting of the introduction and conclusion, but it could require rewriting the entire summary in order to fit the needs of the reader. If necessary, be sure to consider the types of audiences who may benefit from your study and make adjustments accordingly. Clarity in Writing One of the biggest mistakes you can make is related to the clarity of your executive summary. Always note that your audience [or audiences] are likely seeing your research study for the first time. The best way to avoid a disorganized or cluttered executive summary is to write it after the study is completed. Always follow the same strategies for proofreading that you would for any research paper. Use Strong and Positive Language Don’t weaken your executive summary with passive, imprecise language. The executive summary is a stand-alone document intended to convince the reader to make a decision concerning whether to implement the recommendations you make. Once convinced, it is assumed that the full document will provide the details needed to implement the recommendations. Although you should resist the temptation to pad your summary with pleas or biased statements, do pay particular attention to ensuring that a sense of urgency is created in the implications, recommendations, and conclusions presented in the executive summary. Be sure to target readers who are likely to implement the recommendations.

Bailey, Edward, P. The Plain English Approach to Business Writing . (New York: Oxford University Press, 1997), p. 73-80; Christensen, Jay. Executive Summaries Complete The Report. California State University Northridge; Executive Summaries. Writing@CSU. Colorado State University; Clayton, John. "Writing an Executive Summary That Means Business." Harvard Management Communication Letter , 2003; Executive Summary. University Writing Center. Texas A&M University;  Green, Duncan. Writing an Executive Summary.   Oxfam’s Research Guidelines series ; Guidelines for Writing an Executive Summary. Astia.org; Markowitz, Eric. How to Write an Executive Summary. Inc. Magazine, September, 15, 2010; Kawaski, Guy. The Art of the Executive Summary. "How to Change the World" blog; Keller, Chuck. "Stay Healthy with a Winning Executive Summary." Technical Communication 41 (1994): 511-517; The Report Abstract and Executive Summary. The Writing Lab and The OWL. Purdue University; Writing Executive Summaries. Effective Writing Center. University of Maryland; Kolin, Philip. Successful Writing at Work . 10th edition. (Boston, MA: Cengage Learning, 2013), p. 435-437; Moral, Mary. "Writing Recommendations and Executive Summaries." Keeping Good Companies 64 (June 2012): 274-278; Todorovic, Zelimir William and Marietta Wolczacka Frye. “Writing Effective Executive Summaries: An Interdisciplinary Examination.” In United States Association for Small Business and Entrepreneurship. Conference Proceedings . (Decatur, IL: United States Association for Small Business and Entrepreneurship, 2009): pp. 662-691.

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The Conclusion: How to End a Scientific Report in Style

  • First Online: 26 April 2023

Cite this chapter

meaning of scientific research report

  • Siew Mei Wu 3 ,
  • Kooi Cheng Lee 3 &
  • Eric Chun Yong Chan 4  

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Sometimes students have the mistaken belief that the conclusion of a scientific report is just a perfunctory ending that repeats what was presented in the main sections of the report. However, impactful conclusions fulfill a rhetorical function. Besides giving a closing summary, the conclusion reflects the significance of what has been uncovered and how this is connected to a broader issue. At the very least, the conclusion of a scientific report should leave the reader with a new perspective of the research area and something to think about.

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meaning of scientific research report

Writing and publishing a scientific paper

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How to Write and Publish a Research Paper for a Peer-Reviewed Journal

Goh, Z.-H., Tee, J. K., &amp; Ho, H. K. (2020). An Evaluation of the in vitro roles and mechanisms of silibinin in reducing pyrazinamide and isoniazid-induced hepatocellular damage. International Journal of Molecular Sciences, 21 , 3714–3734. https://doi.org/10.3390/ijms21103714

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Swales, J. M., &amp; Feak, C. B. (2012). Academic writing for graduate students (3rd ed.). University of Michigan Press.

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Appendix 1: Tutorial Notes for Conclusion Activity

1.1 learning outcomes.

At the end of the tutorial, you should be able to:

Identify and demonstrate understanding of the roles of Conclusion section of research reports

Analyze the rhetorical moves of Conclusion and apply them effectively in research reports

1.2 Introduction

The Conclusion of a paper is a closing summary of what the report is about. The key role of a Conclusion is to provide a reflection on what has been uncovered during the course of the study and to reflect on the significance of what has been learned (Craswell &amp; Poore, 2012). It should show the readers why all the analysis and information matters.

Besides having a final say on the issues in the report, a Conclusion allows the writer to do the following:

Demonstrate the importance of ideas presented through a synthesis of thoughts

Consider broader issues, make new connections, and elaborate on the significance of the findings

Propel the reader to a new view of the subject

Make a good final impression

End the paper on a positive note

(University of North Carolina at Chapel Hill, 2019)

In other words, a Conclusion gives the readers something to take away that will help them see things differently or appreciate the topic in new ways. It can suggest broader implications that will not only interest the readers, but also enrich their knowledge (Craswell &amp; Poore, 2012), and leave them with something interesting to think about (University of North Carolina at Chapel Hill, 2019).

1.3 About the Conclusion Section

In most universities, undergraduate students, especially those in the last year of their programs, are required to document their research work in the form of a research report. The process of taking what you have done in the lab or from systematic review, and writing it for your academic colleagues is a highly structured activity that stretches and challenges the mind. Overall, a research paper should appeal to the academic community for whom you are writing and should cause the reader to want to know more about your research.

As an undergraduate student in your discipline, you have the advantage of being engaged in a niche area of research. As such, your research is current and will most likely be of interest to scholars in your community.

A typical research paper has the following main sections: introduction, methods, results, discussion, and conclusion. The other front and back matters of a research paper are the title, abstract, acknowledgments, and reference list. This structure is commonly adopted and accepted in the scientific fields. The research report starts with a general idea. The report then leads the reader to a discussion on a specific research area. It then ends with applicability to a bigger area. The last section, Conclusion, is the focus of this lesson.

The rhetorical moves of a Conclusion reflect its roles (see Fig. 54.1 ). It starts by reminding the reader of what is presented in the Introduction. For example, if a problem is described in the Introduction, that same problem can be revisited in the Conclusion to provide evidence that the report is helpful in creating a new understanding of the problem. The writer can also refer to the Introduction by using keywords or parallel concepts that were presented there.

figure 1

Rhetorical moves of Conclusion (the University of North Carolina at Chapel Hill Writing Center,2019)

Next is a synthesis and not a summary of the outcomes of the study. Ideas should not simply be repeated as they were in the earlier parts of the report. The writer must show how the points made, and the support and examples that were given, fit together.

In terms of limitations, if it is not already mentioned in the Discussion section, the writer should acknowledge the weaknesses and shortcomings in the design and/or conduct of the study.

Finally, in connecting to the wider context, the writer should propose a course of action, a solution to an issue, or pose questions for further study. This can redirect readers’ thoughts and help them apply the information and ideas in the study to their own research context or to see the broader implications of the study.

1.4 Linguistic Features of the Conclusion Section

In terms of linguistic features, the use of tense in the Conclusion section is primarily present where the writer’s voice, position, and interpretation are prominent. This is followed by the use of the future tense in sharing what is ahead and some use of past when referring to the study that was done. As summarized by Swales and Feak (2012), Table 54.1 presents the frequency of use of the present tense and past tense in a research report.

1.5 Writing the Conclusion Section

Often, writing a Conclusion is not as easy as it first seems. Using the Question and Answer approach, below is a description of what is usually included in the Conclusion section.

How long should the Conclusion be?

One or two paragraphs comprising 1 sentence summarizing what the paper was about

Two to three sentences summarizing and synthesizing the key findings related to the thesis or objectives of the study

One sentence on limitations (if not in Discussion)

One to two sentences highlighting the significance and implications

One sentence on potential directions for further research

Should the objective be referred to in a Conclusion?

An effective Conclusion reiterates the issue or problem the hypothesis or objective(s) set out to solve. It is important to remind the readers what the hypothesis or objective(s) of the report are and to what extent they are addressed

How far should the Conclusion reflect the Introduction?

Referring to points made in the Introduction in the conclusion ties the paper together and provides readers with a sense of closure.

How much summarizing should there be in a Conclusion?

The conclusion can loosely follow the organization of your paper to parallel, but the focus should be on the paper’s analysis rather than on the organization.

Should newly found information be added to a Conclusion?

Well-written conclusions do not bring in new information or analysis; instead, they sum up what is already contained in the paper.

(Bahamani et al., 2017; Markowsky, 2010)

1.6 Task: Analysing a Conclusion Section

Consider Examples 1 to 4. How do the writers communicate the following information?

Restatement of objective(s)

Refection of outcome(s)

Acknowledgment of limitations, if any

Connection to wider context

“According to this study, the use of educational models, such as a Precaution Adoption Process Model (PAPM) that most people are associated with the process of decision-making in higher education will be beneficial. Moreover, in the preparation, development and implementation of training programs, factors like increased perceived susceptibility, and perceived benefits should be dealt with and some facilities should be provided to facilitate or resolve the barriers of doing the Pap smear test as much as possible.”

(Bahamani et al., 2016)

“Community pharmacists perceived the NMS service as being of benefit to patients by providing advice and reassurance. Implementation of NMS was variable and pharmacists’ perceptions of its feasibility and operationalisation were mixed. Some found the logistics of arranging and conducting the necessary follow-ups challenging, as were service targets. Patient awareness and understanding of NMS was reported to be low and there was a perceived need for publicity about the service. NMS appeared to have strengthened existing good relationships between pharmacists and GPs. Some pharmacists’ concerns about possible overlap of NMS with GP and nurse input may have impacted on their motivation. Overall, our findings indicate that NMS provides an opportunity for patient benefit (patient interaction and medicines management) and the development of contemporary pharmacy practice.”

(Lucas &amp; Blenkinsopp, 2015)

“In this review, we discussed several strategies for the engineering of RiPP pathways to produce artificial pep-tides bearing non-proteinogenic structures characteristic of peptidic natural products. In the RiPP pathways, the structures of the final products are defined by the primary sequences of the precursor genes. Moreover, only a small number of modifying enzymes are involved, and the enzymes function modularly. These features have greatly facilitated both in vivo and in vitro engineering of the pathways, leading to a wide variety of artificial derivatives of naturally occurring RiPPs. In principle, the engineering strategies introduced here can be interchangeably applied for other classes of RiPP enzymes/pathways. Post-biosynthetic chemical modification of RiPPs would be an alternative approach to further increase the structural variation of the products [48–50]. Given that new classes of RiPP enzymes have been frequently reported, and that genetic information of putative RiPP enzymes continues to arise, the array of molecules feasible by RiPP engineering will be further expanded. Some of the artificial RiPP derivatives exhibited elevated bioactivities or different selectivities as compared with their wild type RiPPs. Although these precedents have demonstrated the pharmaceutical relevance of RiPP ana-logs, the next important step in RiPP engineering is the development of novel RiPP derivatives with artificial bioactivities. In more recent reports [51 __,52 __,53 __], the integration of combinatorial lanthipeptide biosynthesis with in vitro selection or bacterial reverse two-hybrid screening methods have successfully obtained artificial ligands specific to certain target proteins. Such approaches, including other strategies under investigation in laboratories in this field, for constructing and screening vast RiPP libraries would lead to the creation of artificial bioactive peptides with non-proteinogenic structures in the near feature.”

(Goto &amp; Suga, 2018)

“Our study is the first to assess and characterise silibinin’s various roles as an adjuvant in protecting against PZA- and INH-induced hepatotoxicity. Most promisingly, we demonstrated silibinin’s safety and efficacy as a rescue adjuvant in vitro , both of which are fundamental considerations in the use of any drug. We also identified silibinin’s potential utility as a rescue hepatoprotectant, shed important mechanistic insights on its hepatoprotective effect, and identified novel antioxidant targets in ameliorating ATT-induced hepatotoxicity. The proof-of-concept demonstrated in this project forms the ethical and scientific foundation to justify and inform subsequent in vivo preclinical studies and clinical trials. Given the lack of alternative treatments in tuberculosis, the need to preserve our remaining antibiotics is paramount. The high stakes involved necessitate future efforts to support our preliminary work in making silibinin clinically relevant to patients and healthcare professionals alike.”

(Goh, 2018)

1.7 In Summary

To recap, in drafting the Conclusion section, you should keep in mind that final remarks can leave the readers with a long-lasting impression of the report especially on the key point(s) that the writer intends to convey. Therefore, you should be careful in crafting this last section of your report.

1.8 References

Bahamani, A. et al. (2017). The Effect of Training Based on Precaution Adoption Process Model (PAPM) on Rural Females’ Participation in Pap smear. BJPR, 16 , 6. Retrieved from http://www.journalrepository.org/media/journals/BJPR_14/2017/May/Bahmani1662017BJPR32965.pdf

Craswell G., &amp; Poore, M. (2012). Writing for Academic Success, 2nd. London: Sage.

Goh, Z-H. (2018). An Evaluation of the Roles and Mechanisms of Silibinin in Reducing Pyrazinamide- and Isoniazid-Induced Hepatotoxicity . Unpublished Final Year Project. National University of Singapore: Department of Pharmacy.

Goto, Y., &amp; Suga, H. (2018). Engineering of RiPP pathways for the production of artificial peptides bearing various non-proteinogenic structures. Current Opinion in Chemical Biology , 46 , 82–90.

Lucas, B., &amp; Blenkinsopp, A. (2015). Community pharmacists’ experience and perceptions of the New Medicines Serves (NMS). IJPP , 23 , 6. Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/ijpp.12180/full

Markowski (2010). WPPD Evaluation form for capstone paper . Retrieved from https://cop-main.sites.medinfo.ufl.edu/files/2010/12/Capstone-Paper-Checklist-and-Reviewer-Evaluation-Form.pdf

Swales, J.M., &amp; Feak, C.B. (2012). Academic writing for graduate students , 3 rd ed. Michigan: University of Michigan Press.

University of North Carolina at Chapel Hill, The Writing Center. (2019). Conclusions . Retrieved from https://writingcenter.unc.edu/tips-and-tools/conclusions/

Appendix 2: Quiz for Conclusion Activity

Instructions

There are 6 questions in this quiz. Choose the most appropriate answer among the options provided.

What does the Conclusion section of a scientific report do?

It provides a recap of report, with reference to the objective(s).

It gives a closure to what has been discussed in relation to the topic.

It shares future direction(s) and in doing so connects to a wider context.

It propels the reader to have an enhanced understanding of the topic.

i, ii, and iii

i, ii and iv

ii, iii and iv

i, ii, iii and iv

The first rhetorical move of the Conclusion section is restatement of objective(s). It …

reminds the reader the objective(s) of the report.

restates reason(s) of each objective of the report.

revisits issue(s) presented requiring investigation.

reiterates the importance of the research project.

The second rhetorical move of the Conclusion section is reflection of outcome(s). It …

summarizes all the findings of the research project.

synthesizes outcomes of the research project.

is a repeat of important ideas mentioned in the report.

shows how key points, evidence, and support fit together.

In connecting to a wider context, the authors …

remind the reader of the importance of the topic.

propose a course of action for the reader.

pose a question to the reader for further research.

direct the reader to certain direction(s).

Following is the Conclusion section of a published article.

“In summary, we have assessed and characterised silibinin’s various roles as an adjuvant in protecting against PZA- and INH-induced hepatotoxicity. Our in vitro experiments suggest that silibinin may be safe and efficacious as a rescue adjuvant, both fundamental considerations in the use of any drug. Further optimisation of our in vitro model may also enhance silibinin’s hepatoprotective effect in rescue, prophylaxis, and recovery. Using this model, we have gleaned important mechanistic insights into its hepatoprotective effect and identified novel antioxidant targets in ameliorating HRZE-induced hepatotoxicity. Future directions will involve exploring the two main mechanisms by which silibinin may ameliorate hepatotoxicity; the proof-of-concept demonstrated in this project will inform subsequent in vitro and in vivo preclinical studies. Given the lack of alternative treatments in tuberculosis, the need to preserve our remaining antibiotics is paramount. These high stakes necessitate future efforts to support our preliminary work, making silibinin more clinically relevant to patients and healthcare professionals alike.” (Goh et al., 2020)

This excerpt of the Conclusion section…

restates objectives of the research.

synthesizes outcomes of the research.

acknowledges limitations of the research

connects the reader to a wider context.

i, ii and iii

What can one observe about the use of tenses in the Conclusion section? The frequency of use of present and future tenses …

demonstrates the importance results being synthesized.

is ungrammatical as the past tense should be used to state the outcomes.

propels the reader to think of future research.

suggests an encouraging tone to end the report.

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Wu, S.M., Lee, K.C., Chan, E.C.Y. (2023). The Conclusion: How to End a Scientific Report in Style. In: Rowland, S., Kuchel, L. (eds) Teaching Science Students to Communicate: A Practical Guide. Springer, Cham. https://doi.org/10.1007/978-3-030-91628-2_54

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Understanding Scientific and Research Ethics

meaning of scientific research report

How to pass journal ethics checks to ensure a smooth submission and publication process

Reputable journals screen for ethics at submission—and inability to pass ethics checks is one of the most common reasons for rejection. Unfortunately, once a study has begun, it’s often too late to secure the requisite ethical reviews and clearances. Learn how to prepare for publication success by ensuring your study meets all ethical requirements before work begins.

The underlying principles of scientific and research ethics

Scientific and research ethics exist to safeguard human rights, ensure that we treat animals respectfully and humanely, and protect the natural environment.

The specific details may vary widely depending on the type of research you’re conducting, but there are clear themes running through all research and reporting ethical requirements:

Documented 3rd party oversight

  • Consent and anonymity
  • Full transparency

If you fulfill each of these broad requirements, your manuscript should sail through any journal’s ethics check.

meaning of scientific research report

If your research is 100% theoretical, you might be able to skip this one. But if you work with living organisms in any capacity—whether you’re administering a survey, collecting data from medical records, culturing cells, working with zebrafish, or counting plant species in a ring—oversight and approval by an ethics committee is a prerequisite for publication. This oversight can take many different forms:

For human studies and studies using human tissue or cells, obtain approval from your institutional review board (IRB). Register clinical trials with the World Health Organization (WHO) or International Committee of Medical Journal Editors (ICMJE). For animal research consult with your institutional animal care and use committee (IACUC). Note that there may be special requirements for non-human primates, cephalopods, and other specific species, as well as for wild animals. For field studies , anthropology and paleontology , the type of permission required will depend on many factors, like the location of the study, whether the site is publicly or privately owned, possible impacts on endangered or protected species, and local permit requirements. 

TIP: You’re not exempt until your committee tells you so

Even if you think your study probably doesn’t require approval, submit it to the review board anyway. Many journals won’t consider retrospective approvals. Obtaining formal approval or an exemption up front is worth it to ensure your research is eligible for publication in the future.

TIP: Keep your committee records close

Clearly label your IRB/IACUC paperwork, permit numbers, and any participant permission forms (including blank copies), and keep them in a safe place. You will need them when you submit to a journal. Providing these details proactively as part of your initial submission can minimize delays and get your manuscript through journal checks and into the hands of reviewers sooner.

Consent & anonymity

Obtaining consent from human subjects.

You may not conduct research on human beings unless the subjects understand what you are doing and agree to be a part of your study. If you work with human subjects, you must obtain informed written consent from the participants or their legal guardians. 

There are many circumstances where extra care may be required in order to obtain consent. The more vulnerable the population you are working with the stricter these guidelines will be. For example, your IRB may have special requirements for working with minors, the elderly, or developmentally delayed participants. Remember that these rules may vary from country to country. Providing a link to the relevant legal reference in your area can help speed the screening and approval process.

TIP: What if you are working with a population where reading and writing aren’t common?

Alternatives to written consent (such as verbal consent or a thumbprint) are acceptable in some cases, but consent still has to be clearly documented. To ensure eligibility for publication, be sure to:

  • Get IRB approval for obtaining verbal rather than written consent
  • Be prepared to explain why written consent could not be obtained
  • Keep a copy of the script you used to obtain this consent, and record when consent was obtained for your own records

Consent and reporting for human tissue and cell lines

Consent from the participant or their next-of-kin is also required for the use of human tissue and cell lines. This includes discarded tissue, for example the by-products of surgery.  

When working with cell lines transparency and good record keeping are essential. Here are some basic guidelines to bear in mind:

  • When working with established cell lines , cite the published article where the cell line was first described.
  • If you’re using repository or commercial cell lines ,  explain exactly which ones, and provide the catalog or repository number. 
  • If you received a cell line from a colleague , rather than directly from a repository or company, be sure to mention it. Explain who gifted the cells and when.
  • For a new cell line obtained from a colleague there may not be a published article to cite yet, but the work to generate the cell line must meet the usual requirements of consent—even if it was carried out by another research group. You’ll need to provide a copy of your colleagues’ IRB approval and details about the consent procedures in order to publish the work.

Finally, you’re obliged to keep your human subjects anonymous and to protect any identifying information in photos and raw data. Remove all names, birth dates, detailed addresses, or job information from files you plan to share. Blur faces and tattoos in any images. Details such as geography (city/country), gender, age, or profession may be shared at a generalized level and in aggregate. Read more about standards for de-identifying datasets in The BMJ .

TIP: Anonymity can be important in field work too

Be careful about revealing geographic data in fieldwork. You don’t want to tip poachers off to the location of the endangered elephant population you studied, or expose petroglyphs to vandalism.

Full Transparency

No matter the discipline, transparent reporting of methods, results, data, software and code is essential to ethical research practice. Transparency is also key to the future reproducibility of your work.

When you submit your study to a journal, you’ll be asked to provide a variety of statements certifying that you’ve obtained the appropriate permissions and clearances, and explaining how you conducted the work. You may also be asked to provide supporting documentation, including field records and raw data. Provide as much detail as you can at this stage. Clear and complete disclosure statements will minimize back-and-forth with the journal, helping your submission to clear ethics checks and move on to the assessment stage sooner.

TIP: Save that data

As you work, be sure to clearly label and organize your data files in a way that will make sense to you later. As close as you are to the work as you conduct your study, remember that two years could easily pass between capturing your data and publishing an article reporting the results. You don’t want to be stuck piecing together confusing records in order to create figures and data files for repositories.

Read our full guide to preparing data for submission .

Keep in mind that scientific and research ethics are always evolving. As laws change and as we learn more about influence, implicit bias and animal sentience, the scientific community continues to strive to elevate our research practice.

A checklist to ensure you’re ethics-check ready

Before you begin your research

Obtain approval from your IRB, IACUC or other approving body

Obtain written informed consent from human participants, guardians or next-of-kin

Obtain permits or permission from property owners, or confirm that permits are not required

Label and save all of records

As you work

Adhere strictly to the protocols approved by your committee

Clearly label your data, and store it in a way that will make sense to your future self

As you write, submit and deposit your results

Be ready to cite specific approval organizations, permit numbers, cell lines, and other details in your ethics statement and in the methods section of your manuscript

Anonymize all participant data (including human and in some cases animal or geographic data)

If a figure does include identifying information (e.g. a participant’s face) obtain special consent

The contents of the Peer Review Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

The contents of the Writing Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

There’s a lot to consider when deciding where to submit your work. Learn how to choose a journal that will help your study reach its audience, while reflecting your values as a researcher…

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NIST aims to cultivate trust in the design, development, use and governance of Artificial Intelligence (AI) technologies and systems in ways that enhance safety and security and improve quality of life. NIST focuses on improving measurement science, technology, standards and related tools — including evaluation and data.

With AI and Machine Learning (ML) changing how society addresses challenges and opportunities, the trustworthiness of AI technologies is critical. Trustworthy AI systems are those demonstrated to be valid and reliable; safe, secure and resilient; accountable and transparent; explainable and interpretable; privacy-enhanced; and fair with harmful bias managed. The agency’s AI goals and activities are driven by its statutory mandates, Presidential Executive Orders and policies, and the needs expressed by U.S. industry, the global research community, other federal agencies,and civil society.

NIST’s AI goals include:

  • Conduct fundamental research to advance trustworthy AI technologies.
  • Apply AI research and innovation across the NIST Laboratory Programs.
  • Establish benchmarks, data and metrics to evaluate AI technologies.
  • Lead and participate in development of technical AI standards.
  • Contribute technical expertise to discussions and development of AI policies.

NIST’s AI efforts fall in several categories:

Fundamental AI Research

NIST’s AI portfolio includes fundamental research to advance the development of AI technologies — including software, hardware, architectures and the ways humans interact with AI technology and AI-generated information  

Applied AI Research

AI approaches are increasingly an essential component in new research. NIST scientists and engineers use various machine learning and AI tools to gain a deeper understanding of and insight into their research. At the same time, NIST laboratory experiences with AI are leading to a better understanding of AI’s capabilities and limitations.

Test, Evaluation, Validation, and Verification (TEVV)

With a long history of working with the community to advance tools, standards and test beds, NIST increasingly is focusing on the sociotechnical evaluation of AI.  

Voluntary Consensus-Based Standards

NIST leads and participates in the development of technical standards, including international standards, that promote innovation and public trust in systems that use AI. A broad spectrum of standards for AI data, performance and governance are a priority for the use and creation of trustworthy and responsible AI.

A fact sheet describes NIST's AI programs .

Featured Content

Artificial intelligence topics.

  • AI Test, Evaluation, Validation and Verification (TEVV)
  • Fundamental AI
  • Hardware for AI
  • Machine learning
  • Trustworthy and Responsible AI

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The Research

Projects & programs, deep learning for mri reconstruction and analysis.

circuit

Emerging Hardware for Artificial Intelligence

Embodied ai and data generation for manufacturing robotics, deep generative modeling for communication systems testing and data sharing.

JARVIS-ML overview

Additional Resources Links

Composite image representing artificial intelligence. Image of graphic human head with images representing healthcare, cybersecurity, transportation, energy, robotics, and manufacturing.

NIST Launches Trustworthy and Responsible AI Resource Center (AIRC)

One-stop shop offers industry, government and academic stakeholders knowledge of AI standards, measurement methods and metrics, data sets, and other resources.

In front of a laptop computer, a hand holds a cell phone that has a conversation with generative AI on the phone screen.

Minimizing Harms and Maximizing the Potential of Generative AI

Eight images show the same person, four wearing glasses and four without, and all with different face expressions. Label says: Database Facial Expressions.

NIST Reports First Results From Age Estimation Software Evaluation

ARIA illustration in blue and green with floating circuits and the silhouette of a person's face.

NIST Launches ARIA, a New Program to Advance Sociotechnical Testing and Evaluation for AI

The letters "AI" appear in blue on a background of binary numbers, ones and zeros.

U.S. Secretary of Commerce Gina Raimondo Releases Strategic Vision on AI Safety, Announces Plan for Global Cooperation Among AI Safety Institutes

Bias in AI

2024 Artificial Intelligence for Materials Science (AIMS) Workshop

COMMENTS

  1. Research Report

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  6. Research Reports: Definition and How to Write Them

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  7. The Writing Center

    This format is often used for lab reports as well as for reporting any planned, systematic research in the social sciences, natural sciences, or engineering and computer sciences. Introduction - Make a case for your research. The introduction explains why this research is important or necessary or important. Begin by describing the problem or ...

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    The Meaning of Scientific Research | Science. Home Science Vol. 61, No. 1567 The Meaning of Scientific Research. Article.

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  26. Artificial intelligence

    Overview. NIST aims to cultivate trust in the design, development, use and governance of Artificial Intelligence (AI) technologies and systems in ways that enhance safety and security and improve quality of life. NIST focuses on improving measurement science, technology, standards and related tools — including evaluation and data.

  27. Directed Energy Weapons: High Power Microwaves

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