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Research Findings – Types Examples and Writing Guide

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Research Findings

Definition:

Research findings refer to the results obtained from a study or investigation conducted through a systematic and scientific approach. These findings are the outcomes of the data analysis, interpretation, and evaluation carried out during the research process.

Types of Research Findings

There are two main types of research findings:

Qualitative Findings

Qualitative research is an exploratory research method used to understand the complexities of human behavior and experiences. Qualitative findings are non-numerical and descriptive data that describe the meaning and interpretation of the data collected. Examples of qualitative findings include quotes from participants, themes that emerge from the data, and descriptions of experiences and phenomena.

Quantitative Findings

Quantitative research is a research method that uses numerical data and statistical analysis to measure and quantify a phenomenon or behavior. Quantitative findings include numerical data such as mean, median, and mode, as well as statistical analyses such as t-tests, ANOVA, and regression analysis. These findings are often presented in tables, graphs, or charts.

Both qualitative and quantitative findings are important in research and can provide different insights into a research question or problem. Combining both types of findings can provide a more comprehensive understanding of a phenomenon and improve the validity and reliability of research results.

Parts of Research Findings

Research findings typically consist of several parts, including:

• Introduction: This section provides an overview of the research topic and the purpose of the study.
• Literature Review: This section summarizes previous research studies and findings that are relevant to the current study.
• Methodology : This section describes the research design, methods, and procedures used in the study, including details on the sample, data collection, and data analysis.
• Results : This section presents the findings of the study, including statistical analyses and data visualizations.
• Discussion : This section interprets the results and explains what they mean in relation to the research question(s) and hypotheses. It may also compare and contrast the current findings with previous research studies and explore any implications or limitations of the study.
• Conclusion : This section provides a summary of the key findings and the main conclusions of the study.
• Recommendations: This section suggests areas for further research and potential applications or implications of the study’s findings.

How to Write Research Findings

Writing research findings requires careful planning and attention to detail. Here are some general steps to follow when writing research findings:

• Organize your findings: Before you begin writing, it’s essential to organize your findings logically. Consider creating an outline or a flowchart that outlines the main points you want to make and how they relate to one another.
• Use clear and concise language : When presenting your findings, be sure to use clear and concise language that is easy to understand. Avoid using jargon or technical terms unless they are necessary to convey your meaning.
• Use visual aids : Visual aids such as tables, charts, and graphs can be helpful in presenting your findings. Be sure to label and title your visual aids clearly, and make sure they are easy to read.
• Use headings and subheadings: Using headings and subheadings can help organize your findings and make them easier to read. Make sure your headings and subheadings are clear and descriptive.
• Interpret your findings : When presenting your findings, it’s important to provide some interpretation of what the results mean. This can include discussing how your findings relate to the existing literature, identifying any limitations of your study, and suggesting areas for future research.
• Be precise and accurate : When presenting your findings, be sure to use precise and accurate language. Avoid making generalizations or overstatements and be careful not to misrepresent your data.
• Edit and revise: Once you have written your research findings, be sure to edit and revise them carefully. Check for grammar and spelling errors, make sure your formatting is consistent, and ensure that your writing is clear and concise.

Research Findings Example

Following is a Research Findings Example sample for students:

Title: The Effects of Exercise on Mental Health

Sample : 500 participants, both men and women, between the ages of 18-45.

Methodology : Participants were divided into two groups. The first group engaged in 30 minutes of moderate intensity exercise five times a week for eight weeks. The second group did not exercise during the study period. Participants in both groups completed a questionnaire that assessed their mental health before and after the study period.

Findings : The group that engaged in regular exercise reported a significant improvement in mental health compared to the control group. Specifically, they reported lower levels of anxiety and depression, improved mood, and increased self-esteem.

Conclusion : Regular exercise can have a positive impact on mental health and may be an effective intervention for individuals experiencing symptoms of anxiety or depression.

Applications of Research Findings

Research findings can be applied in various fields to improve processes, products, services, and outcomes. Here are some examples:

• Healthcare : Research findings in medicine and healthcare can be applied to improve patient outcomes, reduce morbidity and mortality rates, and develop new treatments for various diseases.
• Education : Research findings in education can be used to develop effective teaching methods, improve learning outcomes, and design new educational programs.
• Technology : Research findings in technology can be applied to develop new products, improve existing products, and enhance user experiences.
• Business : Research findings in business can be applied to develop new strategies, improve operations, and increase profitability.
• Public Policy: Research findings can be used to inform public policy decisions on issues such as environmental protection, social welfare, and economic development.
• Social Sciences: Research findings in social sciences can be used to improve understanding of human behavior and social phenomena, inform public policy decisions, and develop interventions to address social issues.
• Agriculture: Research findings in agriculture can be applied to improve crop yields, develop new farming techniques, and enhance food security.
• Sports : Research findings in sports can be applied to improve athlete performance, reduce injuries, and develop new training programs.

When to use Research Findings

Research findings can be used in a variety of situations, depending on the context and the purpose. Here are some examples of when research findings may be useful:

• Decision-making : Research findings can be used to inform decisions in various fields, such as business, education, healthcare, and public policy. For example, a business may use market research findings to make decisions about new product development or marketing strategies.
• Problem-solving : Research findings can be used to solve problems or challenges in various fields, such as healthcare, engineering, and social sciences. For example, medical researchers may use findings from clinical trials to develop new treatments for diseases.
• Policy development : Research findings can be used to inform the development of policies in various fields, such as environmental protection, social welfare, and economic development. For example, policymakers may use research findings to develop policies aimed at reducing greenhouse gas emissions.
• Program evaluation: Research findings can be used to evaluate the effectiveness of programs or interventions in various fields, such as education, healthcare, and social services. For example, educational researchers may use findings from evaluations of educational programs to improve teaching and learning outcomes.
• Innovation: Research findings can be used to inspire or guide innovation in various fields, such as technology and engineering. For example, engineers may use research findings on materials science to develop new and innovative products.

Purpose of Research Findings

The purpose of research findings is to contribute to the knowledge and understanding of a particular topic or issue. Research findings are the result of a systematic and rigorous investigation of a research question or hypothesis, using appropriate research methods and techniques.

The main purposes of research findings are:

• To generate new knowledge : Research findings contribute to the body of knowledge on a particular topic, by adding new information, insights, and understanding to the existing knowledge base.
• To test hypotheses or theories : Research findings can be used to test hypotheses or theories that have been proposed in a particular field or discipline. This helps to determine the validity and reliability of the hypotheses or theories, and to refine or develop new ones.
• To inform practice: Research findings can be used to inform practice in various fields, such as healthcare, education, and business. By identifying best practices and evidence-based interventions, research findings can help practitioners to make informed decisions and improve outcomes.
• To identify gaps in knowledge: Research findings can help to identify gaps in knowledge and understanding of a particular topic, which can then be addressed by further research.
• To contribute to policy development: Research findings can be used to inform policy development in various fields, such as environmental protection, social welfare, and economic development. By providing evidence-based recommendations, research findings can help policymakers to develop effective policies that address societal challenges.

Characteristics of Research Findings

Research findings have several key characteristics that distinguish them from other types of information or knowledge. Here are some of the main characteristics of research findings:

• Objective : Research findings are based on a systematic and rigorous investigation of a research question or hypothesis, using appropriate research methods and techniques. As such, they are generally considered to be more objective and reliable than other types of information.
• Empirical : Research findings are based on empirical evidence, which means that they are derived from observations or measurements of the real world. This gives them a high degree of credibility and validity.
• Generalizable : Research findings are often intended to be generalizable to a larger population or context beyond the specific study. This means that the findings can be applied to other situations or populations with similar characteristics.
• Transparent : Research findings are typically reported in a transparent manner, with a clear description of the research methods and data analysis techniques used. This allows others to assess the credibility and reliability of the findings.
• Peer-reviewed: Research findings are often subject to a rigorous peer-review process, in which experts in the field review the research methods, data analysis, and conclusions of the study. This helps to ensure the validity and reliability of the findings.
• Reproducible : Research findings are often designed to be reproducible, meaning that other researchers can replicate the study using the same methods and obtain similar results. This helps to ensure the validity and reliability of the findings.

Advantages of Research Findings

Research findings have many advantages, which make them valuable sources of knowledge and information. Here are some of the main advantages of research findings:

• Evidence-based: Research findings are based on empirical evidence, which means that they are grounded in data and observations from the real world. This makes them a reliable and credible source of information.
• Inform decision-making: Research findings can be used to inform decision-making in various fields, such as healthcare, education, and business. By identifying best practices and evidence-based interventions, research findings can help practitioners and policymakers to make informed decisions and improve outcomes.
• Identify gaps in knowledge: Research findings can help to identify gaps in knowledge and understanding of a particular topic, which can then be addressed by further research. This contributes to the ongoing development of knowledge in various fields.
• Improve outcomes : Research findings can be used to develop and implement evidence-based practices and interventions, which have been shown to improve outcomes in various fields, such as healthcare, education, and social services.
• Foster innovation: Research findings can inspire or guide innovation in various fields, such as technology and engineering. By providing new information and understanding of a particular topic, research findings can stimulate new ideas and approaches to problem-solving.
• Enhance credibility: Research findings are generally considered to be more credible and reliable than other types of information, as they are based on rigorous research methods and are subject to peer-review processes.

Limitations of Research Findings

While research findings have many advantages, they also have some limitations. Here are some of the main limitations of research findings:

• Limited scope: Research findings are typically based on a particular study or set of studies, which may have a limited scope or focus. This means that they may not be applicable to other contexts or populations.
• Potential for bias : Research findings can be influenced by various sources of bias, such as researcher bias, selection bias, or measurement bias. This can affect the validity and reliability of the findings.
• Ethical considerations: Research findings can raise ethical considerations, particularly in studies involving human subjects. Researchers must ensure that their studies are conducted in an ethical and responsible manner, with appropriate measures to protect the welfare and privacy of participants.
• Time and resource constraints : Research studies can be time-consuming and require significant resources, which can limit the number and scope of studies that are conducted. This can lead to gaps in knowledge or a lack of research on certain topics.
• Complexity: Some research findings can be complex and difficult to interpret, particularly in fields such as science or medicine. This can make it challenging for practitioners and policymakers to apply the findings to their work.
• Lack of generalizability : While research findings are intended to be generalizable to larger populations or contexts, there may be factors that limit their generalizability. For example, cultural or environmental factors may influence how a particular intervention or treatment works in different populations or contexts.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How To Write the Findings Section of a Research Paper

Posted by Rene Tetzner | Sep 2, 2021 | Paper Writing Advice | 0 |

How To Write the Findings Section of a Research Paper Each research project is unique, so it is natural for one researcher to make use of somewhat different strategies than another when it comes to designing and writing the section of a research paper dedicated to findings. The academic or scientific discipline of the research, the field of specialisation, the particular author or authors, the targeted journal or other publisher and the editor making the decisions about publication can all have a significant impact. The practical steps outlined below can be effectively applied to writing about the findings of most advanced research, however, and will prove especially helpful for early-career scholars who are preparing a research paper for a first publication.

Step 1 : Consult the guidelines or instructions that the targeted journal (or other publisher) provides for authors and read research papers it has already published, particularly ones similar in topic, methods or results to your own. The guidelines will generally outline specific requirements for the results or findings section, and the published articles will provide sound examples of successful approaches. Watch particularly for length limitations and restrictions on content. Interpretation, for instance, is usually reserved for a later discussion section, though not always – qualitative research papers often combine findings and interpretation. Background information and descriptions of methods, on the other hand, almost always appear in earlier sections of a research paper. In most cases it is appropriate in a findings section to offer basic comparisons between the results of your study and those of other studies, but knowing exactly what the journal wants in the report of research findings is essential. Learning as much as you can about the journal’s aims and scope as well as the interests of its readers is invaluable as well.

Step 2 : Reflect at some length on your research results in relation to the journal’s requirements while planning the findings section of your paper. Choose for particular focus experimental results and other research discoveries that are particularly relevant to your research questions and objectives, and include them even if they are unexpected or do not support your ideas and hypotheses. Streamline and clarify your report, especially if it is long and complex, by using subheadings that will help you avoid excessive and peripheral details as you write and also help your reader understand and remember your findings. Consider appendices for raw data that might interest specialists but prove too long or distracting for other readers. The opening paragraph of a findings section often restates research questions or aims to refocus the reader’s attention, and it is always wise to summarise key findings at the end of the section, providing a smooth intellectual transition to the interpretation and discussion that follows in most research papers. There are many effective ways in which to organise research findings. The structure of your findings section might be determined by your research questions and hypotheses or match the arrangement of your methods section. A chronological order or hierarchy of importance or meaningful grouping of main themes or categories might prove effective. It may be best to present all the relevant findings and then explain them and your analysis of them, or explaining the results of each trial or test immediately after reporting it may render the material clearer and more comprehensible for your readers. Keep your audience, your most important evidence and your research goals in mind.

Step 3 : Design effective visual presentations of your research results to enhance the textual report of your findings. Tables of various styles and figures of all kinds such as graphs, maps and photos are used in reporting research findings, but do check the journal guidelines for instructions on the number of visual aids allowed, any required design elements and the preferred formats for numbering, labelling and placement in the manuscript. As a general rule, tables and figures should be numbered according to first mention in the main text of the paper, and each one should be clearly introduced and explained at least briefly in that text so that readers know what is presented and what they are expected to see in a particular visual element. Tables and figures should also be self-explanatory, however, so their design should include all definitions and other information necessary for a reader to understand the findings you intend to show without returning to your text. If you construct your tables and figures before drafting your findings section, they can serve as focal points to help you tell a clear and informative story about your findings and avoid unnecessary repetition. Some authors will even work on tables and figures before organising the findings section (Step 2), which can be an extremely effective approach, but it is important to remember that the textual report of findings remains primary. Visual aids can clarify and enrich the text, but they cannot take its place.

Step 4 : Write your findings section in a factual and objective manner. The goal is to communicate information – in some cases a great deal of complex information – as clearly, accurately and precisely as possible, so well-constructed sentences that maintain a simple structure will be far more effective than convoluted phrasing and expressions. The active voice is often recommended by publishers and the authors of writing manuals, and the past tense is appropriate because the research has already been done. Make sure your grammar, spelling and punctuation are correct and effective so that you are conveying the meaning you intend. Statements that are vague, imprecise or ambiguous will often confuse and mislead readers, and a verbose style will add little more than padding while wasting valuable words that might be put to far better use in clear and logical explanations. Some specialised terminology may be required when reporting findings, but anything potentially unclear or confusing that has not already been defined earlier in the paper should be clarified for readers, and the same principle applies to unusual or nonstandard abbreviations. Your readers will want to understand what you are reporting about your results, not waste time looking up terms simply to understand what you are saying. A logical approach to organising your findings section (Step 2) will help you tell a logical story about your research results as you explain, highlight, offer analysis and summarise the information necessary for readers to understand the discussion section that follows.

Step 5 : Review the draft of your findings section and edit and revise until it reports your key findings exactly as you would have them presented to your readers. Check for accuracy and consistency in data across the section as a whole and all its visual elements. Read your prose aloud to catch language errors, awkward phrases and abrupt transitions. Ensure that the order in which you have presented results is the best order for focussing readers on your research objectives and preparing them for the interpretations, speculations, recommendations and other elements of the discussion that you are planning. This will involve looking back over the paper’s introductory and background material as well as anticipating the discussion and conclusion sections, and this is precisely the right point in the process for reviewing and reflecting. Your research results have taken considerable time to obtain and analyse, so a little more time to stand back and take in the wider view from the research door you have opened is a wise investment. The opinions of any additional readers you can recruit, whether they are professional mentors and colleagues or family and friends, will often prove invaluable as well.

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How To Write the Findings Section of a Research Paper These five steps will help you write a clear & interesting findings section for a research paper

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Writing a Research Paper

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The pages in this section provide detailed information about how to write research papers including discussing research papers as a genre, choosing topics, and finding sources.

The Research Paper

There will come a time in most students' careers when they are assigned a research paper. Such an assignment often creates a great deal of unneeded anxiety in the student, which may result in procrastination and a feeling of confusion and inadequacy. This anxiety frequently stems from the fact that many students are unfamiliar and inexperienced with this genre of writing. Never fear—inexperience and unfamiliarity are situations you can change through practice! Writing a research paper is an essential aspect of academics and should not be avoided on account of one's anxiety. In fact, the process of writing a research paper can be one of the more rewarding experiences one may encounter in academics. What is more, many students will continue to do research throughout their careers, which is one of the reasons this topic is so important.

Becoming an experienced researcher and writer in any field or discipline takes a great deal of practice. There are few individuals for whom this process comes naturally. Remember, even the most seasoned academic veterans have had to learn how to write a research paper at some point in their career. Therefore, with diligence, organization, practice, a willingness to learn (and to make mistakes!), and, perhaps most important of all, patience, students will find that they can achieve great things through their research and writing.

The pages in this section cover the following topic areas related to the process of writing a research paper:

• Genre - This section will provide an overview for understanding the difference between an analytical and argumentative research paper.
• Choosing a Topic - This section will guide the student through the process of choosing topics, whether the topic be one that is assigned or one that the student chooses themselves.
• Identifying an Audience - This section will help the student understand the often times confusing topic of audience by offering some basic guidelines for the process.
• Where Do I Begin - This section concludes the handout by offering several links to resources at Purdue, and also provides an overview of the final stages of writing a research paper.

What is fact-finding? Definition and examples

Fact-Finding refers to the gathering of information . It is often part of an initial mission, i.e., preliminary research, to gather facts for a subsequent full investigation or hearing. A fact-finding tour, for example, has the purpose of ascertaining facts . You may want to check the facts about, for instance, France, before deciding to break into the French market.

In this context, ‘market’ refers to the business environment where people buy and sell things .

The process of fact-finding is essential not only for building a case or understanding a situation but also for making informed decisions in business and governance.

In an inquiry or investigation, fact-finding is the discovery stage. During this stage, people gather information by using questionnaires and other survey tools. They then assemble all the data in a report and give it, perhaps with recommendations, to the investigator.

A government or parliamentary committee may go on a fact-finding mission to discover and establish the facts of an issue.

An advancing army will send out scouts to check out the terrain ahead. They will look out for enemy soldiers, hostile terrain, opportunities, strategic advantages, etc. The scouts go out on a fact-finding mission before the troops move forward.

A fact-finding mission, according to Collins Dictionary : “is one whose purpose is to get information about a particular situation, especially for an official group.”

Fact-Finding Rules

According to Queens University IRC in Canada, there are six golden rules in fact-finding.

Go to the source

The source may be a record or an individual. Even if the source is not readily accessible, you must strive to get the best evidence you can.

Remain objective

Do not let people sway you. It is important to focus just on the facts, rather than people’s personalities or opinions.

Persistence

Do not be put off if you are not getting the information you require. Try to find out the root of the cause.

Do not become paralyzed

It is important to separate necessary from unnecessary facts. Make sure you go where the facts take you. However, do not go beyond your mandate.

Do not make assumptions

Confirm all the facts you gather again and again. If the information you have gathered is not accurate, the whole mission is pointless.

Devise a plan and follow it

When you develop a plan, think strategically. Before you begin, determine whom you need to talk to and what you need to establish. Regularly review your plan to confirm that it is effective.

According to Queens University IRC:

“When planned and executed properly, fact-finding provides a solid foundation for conducting analyses, forming conclusions, generating options and formulating sound recommendations.”

“Fact-finding may involve researching documents or existing records and data, holding focus groups, interviewing witnesses, or using written surveys and questionnaires.”

Fact-finding techniques are crucial in post-investigation phases, often used to validate the outcomes and ensure comprehensive understanding of the findings.

 Compound Nouns Containing “ Fact-Finding”

In various professional fields, “fact-finding” is a compound term often used to describe the thorough search for truths and information. A compound noun is a term consisting of two or more words that function as a single noun. Here are six compound nouns that integrate “fact-finding” to describe different aspects of investigative processes, each with a definition and an example in context:

Fact-Finding Mission

A specific task or expedition aimed at uncovering facts about a particular event, situation, or allegation. Example: “The United Nations sent a fact-finding mission to the region to assess the humanitarian situation on the ground.”

Fact-Finding Committee

A group of people appointed to investigate an issue or a set of circumstances and to establish the facts. Example: “The government established a fact-finding committee to delve into the causes of the financial crisis.”

Fact-Finding Report

A document that outlines the findings and evidence gathered during an investigation. Example: “The fact-finding report was conclusive in showing the sequence of events that led to the system’s failure.”

Fact-Finding Inquiry

An investigation or research effort dedicated to gathering information about a specific topic or event. Example: “A fact-finding inquiry into the accident will commence next week to determine the root cause.”

Fact-Finding Panel

A selection of experts or authority figures tasked with investigating facts on a particular issue. Example: “The fact-finding panel included legal, environmental, and safety experts to ensure a well-rounded investigation.”

Fact-Finding Process

The systematic approach to uncovering information and verifying facts related to an investigation or study. Example: “The auditor relied on a detailed fact-finding process to understand the discrepancies in the financial statements.”

Video – What is Fact-Finding?

This video, from our YouTube partner channel – Marketing Business Network , explains what ‘Fact-Finding’ means using simple and easy-to-understand language and examples.

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The global effectiveness of fact-checking: Evidence from simultaneous experiments in Argentina, Nigeria, South Africa, and the United Kingdom

Ethan porter.

a School of Media and Public Affairs, The George Washington University, Washington, DC, 20052;

Thomas J. Wood

b Department of Political Science, The Ohio State University, Columbus, OH, 43210

Author contributions: E.P. and T.J.W. designed research, performed research, analyzed data, and wrote the paper.

Associated Data

Data and replication code ( 35 ) have been deposited in the Harvard Dataverse, https://doi.org/10.7910/DVN/Y8WPFR .

Significance

Little evidence exists on the global effectiveness, or lack thereof, of potential solutions to misinformation. We conducted simultaneous experiments in four countries to investigate the extent to which fact-checking can reduce false beliefs. Fact-checks reduced false beliefs in all countries, with most effects detectable more than 2 wk later and with surprisingly little variation by country. Our evidence underscores that fact-checking can serve as a pivotal tool in the fight against misinformation.

The spread of misinformation is a global phenomenon, with implications for elections, state-sanctioned violence, and health outcomes. Yet, even though scholars have investigated the capacity of fact-checking to reduce belief in misinformation, little evidence exists on the global effectiveness of this approach. We describe fact-checking experiments conducted simultaneously in Argentina, Nigeria, South Africa, and the United Kingdom, in which we studied whether fact-checking can durably reduce belief in misinformation. In total, we evaluated 22 fact-checks, including two that were tested in all four countries. Fact-checking reduced belief in misinformation, with most effects still apparent more than 2 wk later. A meta-analytic procedure indicates that fact-checks reduced belief in misinformation by at least 0.59 points on a 5-point scale. Exposure to misinformation, however, only increased false beliefs by less than 0.07 points on the same scale. Across continents, fact-checks reduce belief in misinformation, often durably so.

The spread of misinformation is a global phenomenon ( 1 ). Misinformation is said to have played a role in the Myanmar genocide ( 2 ), national elections ( 3 ), and the resurgence of measles ( 4 ). Scholars have investigated various means of reducing belief in misinformation, including, but not limited to, fact-checking ( 5 – 8 ). Yet, despite the global scope of the challenge, much of the available evidence about decreasing false beliefs comes from single-country samples gathered in North America, Europe, or Australia. The available evidence also pays scant attention to the durability of accuracy increases that fact-checking may generate. Prior research has shown that fact-checking can reduce false beliefs in single countries ( 9 , 10 ). Yet, whether fact-checking can reduce belief in misinformation around the world and whether any such reductions endure are unknown.

We describe simultaneous experiments conducted in four countries that help resolve both questions. In partnership with fact-checking organizations, we administered experiments in September and October 2020 in Argentina, Nigeria, South Africa, and the United Kingdom. The four countries are diverse along racial, economic, and political lines, but are unified by the presence of fact-checking organizations that have signed on to the standards of the International Fact-Checking Network. The experiments evaluated the effects of fact-checks on beliefs about both country-specific and global misinformation.

In total, we conducted 28 experiments, evaluating 22 distinct fact-checks. To limit the extent to which differences in timing may have been responsible for differential effects, particularly on the global misinformation items, we fielded all experiments in each country at the same time. In each experiment, participants were randomly assigned to misinformation; misinformation followed by a fact-check; or control. All participants then immediately answered outcome questions about their belief in the false claim advanced by the misinformation. Fact-checking stimuli consisted of fact-checks produced by fact-checking organizations in each country, while misinformation stimuli consisted of brief summaries of the false claims that led to the corresponding fact-checks. This allowed us to estimate misinformation effects (the effect of misinformation on belief accuracy compared to control) and correction effects (the effect of corrections on belief accuracy compared to misinformation).

The fact-checks targeted a broad swath of misinformation topics, including COVID-19, local politics, crime, and the economy. In Argentina, South Africa, and the United Kingdom, we were able to evaluate the durability of effects by recontacting subjects approximately 2 wk after the first survey. In the second wave, we asked subjects outcome questions once again, without reminding them of earlier stimuli or providing any signal about each claim’s truthfulness.

The tested fact-checks caused significant gains in factual accuracy. A meta-analytic procedure indicated that, on average, fact-checks increased factual accuracy by 0.59 points on a 5-point scale. In comparison, the same procedure showed that misinformation decreased factual accuracy by less than 0.07 on the same scale and that this decrease was not significant. The observed accuracy increases attributable to fact-checks were durable, with most detectable more than 2 wk after initial exposure to the fact-check. Despite concerns that fact-checking can “backfire” and increase false beliefs ( 11 ), we were unable to identify any instances of such behavior. Instead, in all countries studied, fact-checks reduced belief in misinformation, often for a time beyond immediate exposure.

Scholars are perennially concerned that their conclusions about human behavior are overly reliant on samples of Western, educated, industrialized, rich, and democratic, or “WEIRD,” populations ( 12 , 13 ). WEIRD populations may be distinct from other populations, minimizing the external validity of psychological findings ( 14 ). Our evidence suggests that, when it comes to the effects of fact-checking on belief in misinformation, this is not the case. Although the countries in our study differ starkly along educational, economic, and racial lines, the effects of fact-checking were remarkably similar in all of them.

Misinformation and Fact-Checking in Global Context

Exposure to misinformation is widespread ( 3 ). On social media, misinformation appears to be more appealing to users than factually accurate information ( 15 ). However, research has identified various ways of rebutting the false beliefs that misinformation generates. Relying on crowd-sourcing ( 8 ), delivering news-literacy interventions ( 7 ), and providing fact-checks ( 9 , 16 ) have all been shown to have sharp, positive effects on factual accuracy. Our experiments in the present study evaluated fact-checking efforts; for this reason, we hypothesized that exposure to factual corrections would increase subjects’ factual accuracy (H1). (We preregistered our hypotheses, research questions, and research design with the Open Science Framework [OSF]. The preregistration is included in SI Appendix .)

Little prior work of which we are aware has examined whether national setting affects the size and direction of correction effects. Critical for our purposes, a previous meta-analysis of the effects of attempts to correct misinformation ( 9 ) includes only WEIRD samples, none of which attempted to compare the effects of corrections across countries, let alone non-WEIRD countries. The populations of the four countries studied here are distinct along numerous lines, including aggregate ideological orientation and traditional demographics. It may be the case that the size of accuracy increases generated by fact-checks are different in different national settings. The size of any increases may also vary with different demographics. For these reasons, we studied research questions concerning the relationship between national setting and correction effects; the relationship between participants’ ideology and correction effects; and the relationship between other demographics and correction effects.

The existing literature is also unclear on the duration of accuracy increases that may follow factual corrections. Even when fact-checks bring about greater accuracy, the initial misinformation can continue to affect reasoning over time ( 17 ). Differences in the duration of effects may be attributable to differences among the topics of misinformation and fact-checks. If the accuracy increases that follow fact-checks are only temporary, this suggests that the increases do not represent meaningful gains in accurate knowledge ( 18 ). While the effects of factual information in general can endure ( 19 , 20 ), the durability of accuracy increases prompted by fact-checking in particular is not known. Given the uncertainty of existing findings, we investigate a research question pertaining to the duration of accuracy increases.

Finally, the existing literature does not systematically investigate whether different topics of political misinformation are more (or less) susceptible to factual correction. Scholars have studied a wide range of misinformation topics, including healthcare ( 21 ), climate change ( 22 ), and political candidates ( 23 ). Some issues may be “easy” to correct; others might prove more difficult ( 24 , 25 ). So far as we are aware, there is no comprehensive evidence concerning how response to fact-checks differs between issues. The large number of fact-checks investigated here, spanning a broad array of issues, led us to examine a research question concerning any differences in accuracy increases across different topics.

When compared to misinformation, every fact-check produced more accurate beliefs in the first wave. Misinformation, on the other hand, did not always lead to less accurate beliefs when compared to control in this wave. Results from the first wave for all items appear in Fig. 1 . Effects are displayed on the mean outcome scale, with larger numbers corresponding with greater belief in factually inaccurate information. The first column displays conditional means. The next column displays misinformation effects, or the contrasts between exposure to control and exposure to misinformation only. The third column displays correction effects, or the contrasts between exposure to factual corrections and exposure to misinformation. In the top row, we display effects for the two global items, pertaining to COVID-19 and climate change. Although corrections to both items led to greater accuracy, the misinformation effect for COVID-19 was the largest of all misinformation effects. The largest correction effect concerned the number of shanty towns in Buenos Aires, Argentina.

Conditional means, correction, and misinformation effects. Horizontal lines report 95% CIs. ** P < 0.01; *** P < 0.005 (two-sided).

In the three countries for which we collected second-wave data, the correction effects of most country-specific misinformation items were significant in the second wave, as were the correction effects on both global items. Specifically, 9 of 15 country-specific correction effects, and both cross-country items, all in the direction of greater accuracy, were still significant. In Fig. 2 , we depict the duration of the country-specific and global correction effects. (To address concerns about attrition, here, we present effects only for subjects who completed both waves.)

Over-time effects.

Much of the concern about negative responses to fact-checking has focused on the possibility that individuals’ political views might lead them to reject fact-checking that conflicts with those views. To investigate this possibility, in all four countries, we gathered subjects’ responses to the World Values Survey 10-point question regarding ideology prior to treatment (the full text is in SI Appendix ).

While corrections did not yield identical effects across the ideological spectrum, they also did not provoke any instances of backfire. Fig. 3 presents results by ideological affiliation. Although some corrections failed to improve accuracy for some ideological groups, adherents of the left, middle, and center alike were made more accurate by fact-checks. This was the case for most of the country-specific items and for both global items. As we show in SI Appendix , meta-analyses of effects by subjects’ ideology indicate that, globally, misinformation sans correction has a smaller effect on those who report being on the left than those on the right and center. Fig. 3 demonstrates that our large collection of misinformation topics featured policy areas of importance to subjects on the ideological left and right (although none specifically invoked ideological terms). That corrections worked even when the topic of misinformation was politically charged constitutes powerful evidence for fact-checks’ efficacy, across countries and across ideologies.

Correction effects and ideology (wave 1). Mod., moderate; S., South.

Accuracy increases generated by the common global items were similar across countries and items. There was, however, a discrepancy between misinformation effects and correction effects, as made apparent by Fig. 4 . While exposure to climate-change misinformation did not uniformly lead to accuracy degradation, exposure to a climate-change-related correction uniformly improved accuracy. In contrast, and of special relevance at the present moment, misinformation regarding COVID-19 degraded accuracy about COVID in three of the four countries. At the same time, fact-checks increased accurate beliefs about COVID-19 in all countries. The discrepancy between misinformation and correction effects may be attributable to features of our stimuli, as we discuss below.

Global experimental effects (wave 1). ** P < 0.01; *** P < 0.005 (two-sided).

To study whether the size of effects differed by topic of the misinformation, we grouped misinformation items into the following topics: government spending, health, crime, and economic data. (The specific items used in each group can be found in the preanalysis plan.) Pooling the correction and misinformation effects by these topics does not suggest that effects differ by topic. Correction and misinformation effects are indistinguishable from one another when items are grouped this way.

Meta-Analysis.

To better understand our effects in aggregate, we performed meta-analysis with random effects of the 28 experiments included in this study. Fig. 5 displays results of this exercise. Using this approach, we find that corrections reduced belief in falsehoods by 0.59 point on our 5-point scale ( P < 0.01). On the same scale, misinformation only increased belief in falsehoods by 0.07 ( P > 0.05). * Fact-checks thus increase factual accuracy by more than eight times the amount that misinformation degrades factual accuracy.

Meta-analysis of corrections and misinformation effects.

Discussion and Conclusion

Scholars, governments, and civil society have investigated a variety of potential tools to combat the crisis of misinformation. Prior work has indicated that fact-checking is one effective such tool, capable of reducing false beliefs ( 9 ). Yet, much of the evidence gathered previously has focused on samples from a small handful of countries, limiting the generalizability of subsequent conclusions. The existing evidence also pays little attention to how long the accuracy increases that fact-checks generate endure. This calls into question whether fact-checks are meaningfully improving accurate knowledge, as understood by prior scholars ( 18 ), or changing survey responses only ephemerally. Across a wide variety of national contexts, are fact-checks effective at reducing false beliefs? And are any of the effects detectable after immediate exposure?

Our evidence answers both questions in the affirmative. Experiments conducted simultaneously in Argentina, Nigeria, South Africa, and the United Kingdom reveal that fact-checks increase factual accuracy, decreasing belief in misinformation. This was the case across a broad array of country-specific items, as well as two items investigated in all countries. Meta-analysis demonstrates that fact-checks reduced belief in misinformation by 0.59 point on a 5-point scale, while exposure to misinformation without a fact-check increased belief in that misinformation by less than 0.07. The factual accuracy increases generated by fact-checks proved robust to the passage of time, with most still evident approximately 2 wk later. Although responses to the fact-checks differed along ideological lines, as prior literature would anticipate ( 26 , 27 ), in no case did an ideological group become more inaccurate because they were exposed to a correction.

Our study makes clear that, in four diverse countries, fact-checking can help mitigate the threat that misinformation poses to factual accuracy. While fact-checks improved factual accuracy more than misinformation degraded it, our results may approximate the lower boundary of misinformation’s effects. The misinformation stimuli did not include source cues or provide other signals that might have heightened its impact on participants. The fact-checks were also lengthier than the misinformation. In addition, our estimate of misinformation’s effects may approximate the lower boundary because of a fundamental difference between our study and the world outside the laboratory. While our participants were compelled to see either fact-checks, misinformation, or neither, observational research shows that misinformation is more intrinsically appealing on social media than accurate information ( 15 ). On their own accord, social media users could choose to expose themselves repeatedly to misinformation while avoiding fact-checks, inflating the effects of the former beyond what we find here. All that having been said, our evidence shows that, at least when it comes to fact-checking, responses are generally similar across diverse samples.

What, specifically, makes the effects of fact-checks durable is a topic deserving of further research. Fact-checks may be cognitively demanding and invite active processing, similar to other interventions that have generated longer-term effects ( 28 ). Prior work has shown that cognitive style is related to susceptibility to misinformation ( 29 , 30 ). The inverse might be true as well, with subjects who perform comparatively well on Cognitive Reflection Tests more responsive to factual corrections. Future research should vary the extent to which fact-checks are cognitively demanding, while paying careful attention to respondents’ cognitive styles.

Although the present study expands the geographic scope of research into misinformation and fact-checking, it hardly exhausts possible avenues of inquiry. Our experiments were all administered in countries that currently have reputable fact-checking organizations. Had we fielded our experiments in different countries, we may have observed different results, particularly if those countries had levels of political polarization or trust different from the countries tested here; if they had different political institutions; or if they had no existing fact-checking organizations within them. In addition, while we strove to present fact-checks in as realistic of a form as possible, we nonetheless relied on online panels that may limit the external validity of these findings. Future research into these topics should not only encompass more diverse participants, but, to the greatest extent possible, partner with fact-checking organizations to deliver interventions in close proximity to sources of misinformation. Doing so may account for subjects more willing to believe misinformation than subjects on online panels. To test this possibility, researchers should administer studies modeled on patient-preference trials, wherein participants’ preferences for false claims and fact-checks can be accounted for ( 31 ).

Finally, the paucity of prior research in these countries limited our ability to target groups that may be especially susceptible to misinformation. In the United States, for example, research has identified demographic groups ( 32 ) and cognitive styles ( 30 ) that are associated with susceptibility to misinformation. This is also critical for the study of the duration of correction effects; research into the “continued influence effect” has found that some demographic groups are more likely to be influenced by false beliefs over time, even following an effective correction ( 33 ). Despite the absence of pronounced heterogeneous effects in the present study, researchers should conduct more cross-national studies of factual corrections and misinformation to determine whether the patterns we observe here are common.

While these findings illustrate the potential of fact-checking to rebut false beliefs around the world, fact-checking alone is likely insufficient to address the scope of the misinformation problem. Fact-checks may undo the effects of misinformation on factual beliefs, but whether they can also affect related political attitudes is unclear. As others have shown, even when corrections succeed in reducing false beliefs, they may, nonetheless, benefit politicians who disseminate them, with worrisome consequences for the incentives that politicians face ( 23 ). Our study does not address this question. For now, the evidence shows that, around the world, fact-checking causes durable reductions in false beliefs, mitigating one of the central harms of misinformation.

Materials and Methods

The selection of misinformation items and corresponding fact-checks was made in consultation with the fact-checking organizations on the ground. For the country-specific items, all factual corrections tested were genuine corrections previously used by the fact-checking organization in response to misinformation. To maximize external validity, participants exposed to a country-specific fact-check were shown the fact-check as it appeared on the fact-checking organization’s website, with accompanying text and graphics as they originally appeared. The two cross-national items, pertaining to global warming and COVID-19, referred to genuine misinformation, but, to maintain consistency across countries, necessitated the generation of two novel fact-checks. Translation was conducted in partnership with the fact-checking organizations and survey vendors. The complete text of all misinformation items and factual corrections can be found in SI Appendix .

In each of the four countries, participants were randomly exposed to between zero and seven misinformation items and between zero and seven fact-checks. Randomization occurred at the item level. Of the seven misinformation items, two were common across all four states, while the remaining five were country-specific. This resulted in tests of 22 distinct fact-checks, evaluated with 28 experiments. For each item, participants were either exposed only to the misinformation item; the false item followed by a fact-check; or only answered outcome questions. The order of misinformation items was also randomized. A graphical depiction of the full factorial design can be found in the SI Appendix .

To measure outcomes, we asked respondents two questions about each misinformation item, both of which prompted the respondent to assess the veracity of the misinformation. We relied on two questions in order to minimize measurement error that might result from relying on only one question, a concern that prior work in this area has raised ( 34 ). First, respondents were asked to agree with a statement that summarized the false claim. Agreement was measured on a 1-to-5 agree–disagree scale, with larger numbers corresponding to greater accuracy. Then, participants were asked whether they regarded the statement as true or false, with responses measured on a 1-to-5 true–false scale, again with larger numbers corresponding with greater accuracy. The statement appeared twice, so that subjects could read it before responding to each question. To evaluate the effects of fact-checking and misinformation on beliefs, we modeled ordinary least-squares regressions of the following type:

where experimental condition is a three-value factorial variable, with possible values for misinformation and outcome items; misinformation, fact-check, and outcome items; and outcome items only. Outcomes consist of the average response of the two items described above. To measure over-time effects, as depicted in Fig. 2 , we estimated the same model on the second wave, holding constant those who completed both waves. In this second wave, participants were asked outcome questions only, receiving no reminders of their earlier treatment. While we cannot rule out the possibility that subjects who completed the second wave were distinct from those who only completed the first, our concerns are mitigated by the similarity in first-wave effects between those who completed both waves and those who did not. Indeed, as we show in SI Appendix , effects in the first wave among those who completed both waves are indistinguishable from first-wave effects of those who completed both waves. To evaluate ideology, we estimated a linear ideological term, with outcomes consisting of the 10-point World Values Survey ideology scale. Specifically, this question asks subjects: “In political matters, people talk of ‘the left’ and ‘the right.’ How would you place your views on this scale, generally speaking?” A 1-to-10 scale appears below, with “left” above 1 and “right” above 10. The results shown in Fig. 3 are the regression contrasts, comparing misinformation and correction conditions, when we vary ideology from 1 to 10, in 0.01 increments. While at first blush, the randomized provision of misinformation may raise ethical concerns, it is important to note that factual corrections on their own almost always reiterate the misinformation being corrected. Experimental tests of factual corrections that aim to achieve a modicum of realism thus also effectively randomize misinformation, as we do here. With our approach, we separate out what other research sometimes collapses.

Sample Composition.

Demographic data on all waves in all countries are located in SI Appendix . As we show, across demographic lines measured by the World Values Survey (including age, employment status, gender, and ideology), the sample composition of the first wave is broadly similar to national data in each country. The first wave of experiments began simultaneously on the week of September 24, 2020, and concluded shortly thereafter. In South Africa, the United Kingdom, and Argentina, we were able to conduct a second wave of the study, for which data collection began on October 16. In this second wave, subjects were only asked to provide answers to the outcome questions; no additional treatments were administered.

In the United Kingdom, South Africa, and Argentina, Ipsos MORI recruited subjects and collected data. Recruitment efforts relied on targets matched to official statistics on age, gender, region, and working status for each country. In wave 1, 2,000 adults in each country were surveyed, with resulting data weighted by age, gender, region, and working status to match the profile of the adult population for the following age group in each market: 18 to 75 in the United Kingdom, 18 to 50 in South Africa, and 18 to 55 in Argentina. Wave 2 ( n = 1,000 in each country) was conducted by recontacting respondents who completed wave 1.

In Nigeria, YouGov was responsible for recruitment and data collection. Subjects were recruited by using banners on websites, emails to a permission-based database, and loyalty websites. The sampling frame was based on the 2017 Afrobarometer’s estimation of the internet population in Nigeria, with sampling based on age, gender, education, and the combination of age and gender. This data were matched to a sampling frame, with matched cases weighted by propensity score. The matched cases and sampling frame were combined, and logistic regression determined inclusion in the frame.

Additional information.

Data files and scripts necessary to replicate the results in this article are available in the Dataverse repository. This study was deemed exempt by the George Washington University Institutional Review Board.

Supplementary Material

Supplementary file, acknowledgments.

We are grateful to Full Fact, Africa Check, Chequeado, and the many fact-checking professionals who helped bring this project to fruition, including, but not limited to, Mevan Babakar, Amy Sippitt, Peter Cunliffe-Jones, Ariel Riera, Will Moy, Olivia Vicol, and Nicola Theunissen. We are also grateful to seminar audiences at George Washington University and to Brendan Nyhan for feedback. Ipsos MORI and YouGov were responsible for the fieldwork and data collection only. This research is supported by a grant from Luminate, and by the John S. and James L. Knight Foundation through a grant to the Institute for Data, Democracy & Politics at The George Washington University. All mistakes are our own.

The authors declare no competing interest.

This article is a PNAS Direct Submission. G.P. is a guest editor invited by the Editorial Board.

*When we rely on standardized outcome variables in meta-analysis, we observe in Wave 1 that corrections decreased false beliefs by 0.45 SDs, while misinformation increased false beliefs by only 0.05 SDs.

This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2104235118/-/DCSupplemental .

Data Availability

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13.1 Formatting a Research Paper

Learning objectives.

• Identify the major components of a research paper written using American Psychological Association (APA) style.
• Apply general APA style and formatting conventions in a research paper.

In this chapter, you will learn how to use APA style , the documentation and formatting style followed by the American Psychological Association, as well as MLA style , from the Modern Language Association. There are a few major formatting styles used in academic texts, including AMA, Chicago, and Turabian:

• AMA (American Medical Association) for medicine, health, and biological sciences
• APA (American Psychological Association) for education, psychology, and the social sciences
• Chicago—a common style used in everyday publications like magazines, newspapers, and books
• MLA (Modern Language Association) for English, literature, arts, and humanities
• Turabian—another common style designed for its universal application across all subjects and disciplines

While all the formatting and citation styles have their own use and applications, in this chapter we focus our attention on the two styles you are most likely to use in your academic studies: APA and MLA.

If you find that the rules of proper source documentation are difficult to keep straight, you are not alone. Writing a good research paper is, in and of itself, a major intellectual challenge. Having to follow detailed citation and formatting guidelines as well may seem like just one more task to add to an already-too-long list of requirements.

Following these guidelines, however, serves several important purposes. First, it signals to your readers that your paper should be taken seriously as a student’s contribution to a given academic or professional field; it is the literary equivalent of wearing a tailored suit to a job interview. Second, it shows that you respect other people’s work enough to give them proper credit for it. Finally, it helps your reader find additional materials if he or she wishes to learn more about your topic.

Furthermore, producing a letter-perfect APA-style paper need not be burdensome. Yes, it requires careful attention to detail. However, you can simplify the process if you keep these broad guidelines in mind:

• Work ahead whenever you can. Chapter 11 “Writing from Research: What Will I Learn?” includes tips for keeping track of your sources early in the research process, which will save time later on.
• Get it right the first time. Apply APA guidelines as you write, so you will not have much to correct during the editing stage. Again, putting in a little extra time early on can save time later.
• Use the resources available to you. In addition to the guidelines provided in this chapter, you may wish to consult the APA website at http://www.apa.org or the Purdue University Online Writing lab at http://owl.english.purdue.edu , which regularly updates its online style guidelines.

General Formatting Guidelines

This chapter provides detailed guidelines for using the citation and formatting conventions developed by the American Psychological Association, or APA. Writers in disciplines as diverse as astrophysics, biology, psychology, and education follow APA style. The major components of a paper written in APA style are listed in the following box.

These are the major components of an APA-style paper:

Body, which includes the following:

• Headings and, if necessary, subheadings to organize the content
• In-text citations of research sources
• References page

All these components must be saved in one document, not as separate documents.

The title page of your paper includes the following information:

• Title of the paper
• Author’s name
• Name of the institution with which the author is affiliated
• Header at the top of the page with the paper title (in capital letters) and the page number (If the title is lengthy, you may use a shortened form of it in the header.)

List the first three elements in the order given in the previous list, centered about one third of the way down from the top of the page. Use the headers and footers tool of your word-processing program to add the header, with the title text at the left and the page number in the upper-right corner. Your title page should look like the following example.

The next page of your paper provides an abstract , or brief summary of your findings. An abstract does not need to be provided in every paper, but an abstract should be used in papers that include a hypothesis. A good abstract is concise—about one hundred fifty to two hundred fifty words—and is written in an objective, impersonal style. Your writing voice will not be as apparent here as in the body of your paper. When writing the abstract, take a just-the-facts approach, and summarize your research question and your findings in a few sentences.

In Chapter 12 “Writing a Research Paper” , you read a paper written by a student named Jorge, who researched the effectiveness of low-carbohydrate diets. Read Jorge’s abstract. Note how it sums up the major ideas in his paper without going into excessive detail.

Write an abstract summarizing your paper. Briefly introduce the topic, state your findings, and sum up what conclusions you can draw from your research. Use the word count feature of your word-processing program to make sure your abstract does not exceed one hundred fifty words.

Depending on your field of study, you may sometimes write research papers that present extensive primary research, such as your own experiment or survey. In your abstract, summarize your research question and your findings, and briefly indicate how your study relates to prior research in the field.

Margins, Pagination, and Headings

APA style requirements also address specific formatting concerns, such as margins, pagination, and heading styles, within the body of the paper. Review the following APA guidelines.

Use these general guidelines to format the paper:

• Set the top, bottom, and side margins of your paper at 1 inch.
• Use double-spaced text throughout your paper.
• Use a standard font, such as Times New Roman or Arial, in a legible size (10- to 12-point).
• Use continuous pagination throughout the paper, including the title page and the references section. Page numbers appear flush right within your header.
• Section headings and subsection headings within the body of your paper use different types of formatting depending on the level of information you are presenting. Additional details from Jorge’s paper are provided.

Begin formatting the final draft of your paper according to APA guidelines. You may work with an existing document or set up a new document if you choose. Include the following:

• Your title page
• The abstract you created in Note 13.8 “Exercise 1”
• Correct headers and page numbers for your title page and abstract

APA style uses section headings to organize information, making it easy for the reader to follow the writer’s train of thought and to know immediately what major topics are covered. Depending on the length and complexity of the paper, its major sections may also be divided into subsections, sub-subsections, and so on. These smaller sections, in turn, use different heading styles to indicate different levels of information. In essence, you are using headings to create a hierarchy of information.

The following heading styles used in APA formatting are listed in order of greatest to least importance:

• Section headings use centered, boldface type. Headings use title case, with important words in the heading capitalized.
• Subsection headings use left-aligned, boldface type. Headings use title case.
• The third level uses left-aligned, indented, boldface type. Headings use a capital letter only for the first word, and they end in a period.
• The fourth level follows the same style used for the previous level, but the headings are boldfaced and italicized.
• The fifth level follows the same style used for the previous level, but the headings are italicized and not boldfaced.

Visually, the hierarchy of information is organized as indicated in Table 13.1 “Section Headings” .

Table 13.1 Section Headings

A college research paper may not use all the heading levels shown in Table 13.1 “Section Headings” , but you are likely to encounter them in academic journal articles that use APA style. For a brief paper, you may find that level 1 headings suffice. Longer or more complex papers may need level 2 headings or other lower-level headings to organize information clearly. Use your outline to craft your major section headings and determine whether any subtopics are substantial enough to require additional levels of headings.

Working with the document you developed in Note 13.11 “Exercise 2” , begin setting up the heading structure of the final draft of your research paper according to APA guidelines. Include your title and at least two to three major section headings, and follow the formatting guidelines provided above. If your major sections should be broken into subsections, add those headings as well. Use your outline to help you.

Because Jorge used only level 1 headings, his Exercise 3 would look like the following:

Citation Guidelines

In-text citations.

Throughout the body of your paper, include a citation whenever you quote or paraphrase material from your research sources. As you learned in Chapter 11 “Writing from Research: What Will I Learn?” , the purpose of citations is twofold: to give credit to others for their ideas and to allow your reader to follow up and learn more about the topic if desired. Your in-text citations provide basic information about your source; each source you cite will have a longer entry in the references section that provides more detailed information.

In-text citations must provide the name of the author or authors and the year the source was published. (When a given source does not list an individual author, you may provide the source title or the name of the organization that published the material instead.) When directly quoting a source, it is also required that you include the page number where the quote appears in your citation.

This information may be included within the sentence or in a parenthetical reference at the end of the sentence, as in these examples.

Epstein (2010) points out that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (p. 137).

Here, the writer names the source author when introducing the quote and provides the publication date in parentheses after the author’s name. The page number appears in parentheses after the closing quotation marks and before the period that ends the sentence.

Addiction researchers caution that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (Epstein, 2010, p. 137).

Here, the writer provides a parenthetical citation at the end of the sentence that includes the author’s name, the year of publication, and the page number separated by commas. Again, the parenthetical citation is placed after the closing quotation marks and before the period at the end of the sentence.

As noted in the book Junk Food, Junk Science (Epstein, 2010, p. 137), “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive.”

Here, the writer chose to mention the source title in the sentence (an optional piece of information to include) and followed the title with a parenthetical citation. Note that the parenthetical citation is placed before the comma that signals the end of the introductory phrase.

David Epstein’s book Junk Food, Junk Science (2010) pointed out that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (p. 137).

Another variation is to introduce the author and the source title in your sentence and include the publication date and page number in parentheses within the sentence or at the end of the sentence. As long as you have included the essential information, you can choose the option that works best for that particular sentence and source.

Citing a book with a single author is usually a straightforward task. Of course, your research may require that you cite many other types of sources, such as books or articles with more than one author or sources with no individual author listed. You may also need to cite sources available in both print and online and nonprint sources, such as websites and personal interviews. Chapter 13 “APA and MLA Documentation and Formatting” , Section 13.2 “Citing and Referencing Techniques” and Section 13.3 “Creating a References Section” provide extensive guidelines for citing a variety of source types.

Writing at Work

APA is just one of several different styles with its own guidelines for documentation, formatting, and language usage. Depending on your field of interest, you may be exposed to additional styles, such as the following:

• MLA style. Determined by the Modern Languages Association and used for papers in literature, languages, and other disciplines in the humanities.
• Chicago style. Outlined in the Chicago Manual of Style and sometimes used for papers in the humanities and the sciences; many professional organizations use this style for publications as well.
• Associated Press (AP) style. Used by professional journalists.

References List

The brief citations included in the body of your paper correspond to the more detailed citations provided at the end of the paper in the references section. In-text citations provide basic information—the author’s name, the publication date, and the page number if necessary—while the references section provides more extensive bibliographical information. Again, this information allows your reader to follow up on the sources you cited and do additional reading about the topic if desired.

The specific format of entries in the list of references varies slightly for different source types, but the entries generally include the following information:

• The name(s) of the author(s) or institution that wrote the source
• The year of publication and, where applicable, the exact date of publication
• The full title of the source
• For books, the city of publication
• For articles or essays, the name of the periodical or book in which the article or essay appears
• For magazine and journal articles, the volume number, issue number, and pages where the article appears
• For sources on the web, the URL where the source is located

The references page is double spaced and lists entries in alphabetical order by the author’s last name. If an entry continues for more than one line, the second line and each subsequent line are indented five spaces. Review the following example. ( Chapter 13 “APA and MLA Documentation and Formatting” , Section 13.3 “Creating a References Section” provides extensive guidelines for formatting reference entries for different types of sources.)

In APA style, book and article titles are formatted in sentence case, not title case. Sentence case means that only the first word is capitalized, along with any proper nouns.

Key Takeaways

• Following proper citation and formatting guidelines helps writers ensure that their work will be taken seriously, give proper credit to other authors for their work, and provide valuable information to readers.
• Working ahead and taking care to cite sources correctly the first time are ways writers can save time during the editing stage of writing a research paper.
• APA papers usually include an abstract that concisely summarizes the paper.
• APA papers use a specific headings structure to provide a clear hierarchy of information.
• In APA papers, in-text citations usually include the name(s) of the author(s) and the year of publication.
• In-text citations correspond to entries in the references section, which provide detailed bibliographical information about a source.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

Importance of Fact-checking in Academic Research

Fact-checking is a crucial step in the academic research process. It helps to ensure that the information presented in a study or paper is accurate, reliable, and can be trusted. This is particularly important in fields such as medicine, science, and engineering, where the accuracy of the information can have significant real-world implications.

Fact-checking is the process of verifying the accuracy of information used in a study or paper. This can include verifying data, statistics, and other information used in the research. It can also involve checking the sources of the information, such as academic journals, books, and online sources, to ensure that they are credible and reliable.

There are several methods that researchers can use to fact-check their work. One method is to use multiple sources of information. This can help to ensure that the information is accurate and that it has been independently verified by other sources. Researchers can also use primary sources, such as original research studies or data, which are considered to be more reliable than secondary sources, such as review articles or summaries.

Peer Review

Another method is to use peer review. This is when other researchers in the same field review a study or paper before it is published. Peer reviewers are experts in their field and can provide valuable feedback on the accuracy and credibility of the information presented in the study or paper. This can help to identify any errors or inconsistencies and ensure that the information is accurate and reliable.

Software Tools

Researchers can also use software tools for fact-checking, such as plagiarism checkers, fact-checking websites, and citation management software. These tools can help to ensure that the information is original, and properly cited. This can help to prevent plagiarism, which is a serious issue in academic research.

Transparency & Accountability

Fact-checking is not only important for ensuring the accuracy and credibility of the information presented in a study or paper, but it also promotes transparency and accountability in academic research. Researchers are responsible for the accuracy of their work, and fact-checking allows them to identify and correct any errors or inconsistencies that may have occurred during the research process. This helps to prevent the dissemination of false or misleading information and promotes trust in the research and academic community.

Moreover, fact-checking helps to improve the overall quality of the research. A study or paper that has undergone thorough fact-checking is more likely to be well-researched, well-written, and well-supported. This, in turn, makes it more likely to be accepted for publication or funding and increases the impact and reach of the research.

In short, fact-checking is an essential step in academic research. It helps to ensure the accuracy and credibility of the information presented, promotes transparency and accountability, and improves the overall quality of the research. Researchers can use multiple sources of information, peer review, and software tools to fact-check their work and ensure that the information is accurate and reliable.

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• Knowledge Base
• Working with sources

How to Find Sources | Scholarly Articles, Books, Etc.

Published on June 13, 2022 by Eoghan Ryan . Revised on May 31, 2023.

It’s important to know how to find relevant sources when writing a  research paper , literature review , or systematic review .

The types of sources you need will depend on the stage you are at in the research process , but all sources that you use should be credible , up to date, and relevant to your research topic.

There are three main places to look for sources to use in your research:

Research databases

• Your institution’s library
• Other online resources

Table of contents

Library resources, other online sources, other interesting articles, frequently asked questions about finding sources.

You can search for scholarly sources online using databases and search engines like Google Scholar . These provide a range of search functions that can help you to find the most relevant sources.

If you are searching for a specific article or book, include the title or the author’s name. Alternatively, if you’re just looking for sources related to your research problem , you can search using keywords. In this case, it’s important to have a clear understanding of the scope of your project and of the most relevant keywords.

Databases can be general (interdisciplinary) or subject-specific.

• You can use subject-specific databases to ensure that the results are relevant to your field.
• When using a general database or search engine, you can still filter results by selecting specific subjects or disciplines.

Example: JSTOR discipline search filter

Check the table below to find a database that’s relevant to your research.

Google Scholar

To get started, you might also try Google Scholar , an academic search engine that can help you find relevant books and articles. Its “Cited by” function lets you see the number of times a source has been cited. This can tell you something about a source’s credibility and importance to the field.

Example: Google Scholar “Cited by” function

Boolean operators

Boolean operators can also help to narrow or expand your search.

Boolean operators are words and symbols like AND , OR , and NOT that you can use to include or exclude keywords to refine your results. For example, a search for “Nietzsche NOT nihilism” will provide results that include the word “Nietzsche” but exclude results that contain the word “nihilism.”

Many databases and search engines have an advanced search function that allows you to refine results in a similar way without typing the Boolean operators manually.

Example: Project Muse advanced search

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You can find helpful print sources in your institution’s library. These include:

• Journal articles
• Encyclopedias
• Newspapers and magazines

Make sure that the sources you consult are appropriate to your research.

You can find these sources using your institution’s library database. This will allow you to explore the library’s catalog and to search relevant keywords. You can refine your results using Boolean operators .

Once you have found a relevant print source in the library:

• Consider what books are beside it. This can be a great way to find related sources, especially when you’ve found a secondary or tertiary source instead of a primary source .
• Consult the index and bibliography to find the bibliographic information of other relevant sources.

You can consult popular online sources to learn more about your topic. These include:

• Crowdsourced encyclopedias like Wikipedia

You can find these sources using search engines. To refine your search, use Boolean operators in combination with relevant keywords.

However, exercise caution when using online sources. Consider what kinds of sources are appropriate for your research and make sure the sites are credible .

Look for sites with trusted domain extensions:

• URLs that end with .edu are educational resources.
• URLs that end with .gov are government-related resources.
• DOIs often indicate that an article is published in a peer-reviewed , scientific article.

Other sites can still be used, but you should evaluate them carefully and consider alternatives.

If you want to know more about ChatGPT, AI tools , citation , and plagiarism , make sure to check out some of our other articles with explanations and examples.

• ChatGPT vs human editor
• ChatGPT citations
• Is ChatGPT trustworthy?
• Using ChatGPT for your studies
• What is ChatGPT?
• Chicago style
• Paraphrasing

 Plagiarism

• Types of plagiarism
• Self-plagiarism
• Avoiding plagiarism
• Academic integrity
• Consequences of plagiarism
• Common knowledge

Scribbr Citation Checker New

The AI-powered Citation Checker helps you avoid common mistakes such as:

• Missing commas and periods
• Incorrect usage of “et al.”
• Ampersands (&) in narrative citations
• Missing reference entries

You can find sources online using databases and search engines like Google Scholar . Use Boolean operators or advanced search functions to narrow or expand your search.

For print sources, you can use your institution’s library database. This will allow you to explore the library’s catalog and to search relevant keywords.

It is important to find credible sources and use those that you can be sure are sufficiently scholarly .

• Consult your institute’s library to find out what books, journals, research databases, and other types of sources they provide access to.
• Look for books published by respected academic publishing houses and university presses, as these are typically considered trustworthy sources.
• Look for journals that use a peer review process. This means that experts in the field assess the quality and credibility of an article before it is published.

When searching for sources in databases, think of specific keywords that are relevant to your topic , and consider variations on them or synonyms that might be relevant.

Once you have a clear idea of your research parameters and key terms, choose a database that is relevant to your research (e.g., Medline, JSTOR, Project MUSE).

Find out if the database has a “subject search” option. This can help to refine your search. Use Boolean operators to combine your keywords, exclude specific search terms, and search exact phrases to find the most relevant sources.

There are many types of sources commonly used in research. These include:

You’ll likely use a variety of these sources throughout the research process , and the kinds of sources you use will depend on your research topic and goals.

Scholarly sources are written by experts in their field and are typically subjected to peer review . They are intended for a scholarly audience, include a full bibliography, and use scholarly or technical language. For these reasons, they are typically considered credible sources .

Popular sources like magazines and news articles are typically written by journalists. These types of sources usually don’t include a bibliography and are written for a popular, rather than academic, audience. They are not always reliable and may be written from a biased or uninformed perspective, but they can still be cited in some contexts.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

Ryan, E. (2023, May 31). How to Find Sources | Scholarly Articles, Books, Etc.. Scribbr. Retrieved April 9, 2024, from https://www.scribbr.com/working-with-sources/finding-sources/

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What Is Research, and Why Do People Do It?

• James Hiebert 6 ,
• Jinfa Cai 7 ,
• Stephen Hwang 7 ,
• Anne K Morris 6 &
• Charles Hohensee 6  
• Open Access
• First Online: 03 December 2022

15k Accesses

Part of the book series: Research in Mathematics Education ((RME))

Abstractspiepr Abs1

Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain, and by its commitment to learn from everyone else seriously engaged in research. We call this kind of research scientific inquiry and define it as “formulating, testing, and revising hypotheses.” By “hypotheses” we do not mean the hypotheses you encounter in statistics courses. We mean predictions about what you expect to find and rationales for why you made these predictions. Throughout this and the remaining chapters we make clear that the process of scientific inquiry applies to all kinds of research studies and data, both qualitative and quantitative.

You have full access to this open access chapter,  Download chapter PDF

Part I. What Is Research?

Have you ever studied something carefully because you wanted to know more about it? Maybe you wanted to know more about your grandmother’s life when she was younger so you asked her to tell you stories from her childhood, or maybe you wanted to know more about a fertilizer you were about to use in your garden so you read the ingredients on the package and looked them up online. According to the dictionary definition, you were doing research.

Recall your high school assignments asking you to “research” a topic. The assignment likely included consulting a variety of sources that discussed the topic, perhaps including some “original” sources. Often, the teacher referred to your product as a “research paper.”

Were you conducting research when you interviewed your grandmother or wrote high school papers reviewing a particular topic? Our view is that you were engaged in part of the research process, but only a small part. In this book, we reserve the word “research” for what it means in the scientific world, that is, for scientific research or, more pointedly, for scientific inquiry .

Exercise 1.1

Before you read any further, write a definition of what you think scientific inquiry is. Keep it short—Two to three sentences. You will periodically update this definition as you read this chapter and the remainder of the book.

This book is about scientific inquiry—what it is and how to do it. For starters, scientific inquiry is a process, a particular way of finding out about something that involves a number of phases. Each phase of the process constitutes one aspect of scientific inquiry. You are doing scientific inquiry as you engage in each phase, but you have not done scientific inquiry until you complete the full process. Each phase is necessary but not sufficient.

In this chapter, we set the stage by defining scientific inquiry—describing what it is and what it is not—and by discussing what it is good for and why people do it. The remaining chapters build directly on the ideas presented in this chapter.

A first thing to know is that scientific inquiry is not all or nothing. “Scientificness” is a continuum. Inquiries can be more scientific or less scientific. What makes an inquiry more scientific? You might be surprised there is no universally agreed upon answer to this question. None of the descriptors we know of are sufficient by themselves to define scientific inquiry. But all of them give you a way of thinking about some aspects of the process of scientific inquiry. Each one gives you different insights.

Exercise 1.2

As you read about each descriptor below, think about what would make an inquiry more or less scientific. If you think a descriptor is important, use it to revise your definition of scientific inquiry.

Creating an Image of Scientific Inquiry

We will present three descriptors of scientific inquiry. Each provides a different perspective and emphasizes a different aspect of scientific inquiry. We will draw on all three descriptors to compose our definition of scientific inquiry.

Descriptor 1. Experience Carefully Planned in Advance

Sir Ronald Fisher, often called the father of modern statistical design, once referred to research as “experience carefully planned in advance” (1935, p. 8). He said that humans are always learning from experience, from interacting with the world around them. Usually, this learning is haphazard rather than the result of a deliberate process carried out over an extended period of time. Research, Fisher said, was learning from experience, but experience carefully planned in advance.

This phrase can be fully appreciated by looking at each word. The fact that scientific inquiry is based on experience means that it is based on interacting with the world. These interactions could be thought of as the stuff of scientific inquiry. In addition, it is not just any experience that counts. The experience must be carefully planned . The interactions with the world must be conducted with an explicit, describable purpose, and steps must be taken to make the intended learning as likely as possible. This planning is an integral part of scientific inquiry; it is not just a preparation phase. It is one of the things that distinguishes scientific inquiry from many everyday learning experiences. Finally, these steps must be taken beforehand and the purpose of the inquiry must be articulated in advance of the experience. Clearly, scientific inquiry does not happen by accident, by just stumbling into something. Stumbling into something unexpected and interesting can happen while engaged in scientific inquiry, but learning does not depend on it and serendipity does not make the inquiry scientific.

Descriptor 2. Observing Something and Trying to Explain Why It Is the Way It Is

When we were writing this chapter and googled “scientific inquiry,” the first entry was: “Scientific inquiry refers to the diverse ways in which scientists study the natural world and propose explanations based on the evidence derived from their work.” The emphasis is on studying, or observing, and then explaining . This descriptor takes the image of scientific inquiry beyond carefully planned experience and includes explaining what was experienced.

According to the Merriam-Webster dictionary, “explain” means “(a) to make known, (b) to make plain or understandable, (c) to give the reason or cause of, and (d) to show the logical development or relations of” (Merriam-Webster, n.d. ). We will use all these definitions. Taken together, they suggest that to explain an observation means to understand it by finding reasons (or causes) for why it is as it is. In this sense of scientific inquiry, the following are synonyms: explaining why, understanding why, and reasoning about causes and effects. Our image of scientific inquiry now includes planning, observing, and explaining why.

We need to add a final note about this descriptor. We have phrased it in a way that suggests “observing something” means you are observing something in real time—observing the way things are or the way things are changing. This is often true. But, observing could mean observing data that already have been collected, maybe by someone else making the original observations (e.g., secondary analysis of NAEP data or analysis of existing video recordings of classroom instruction). We will address secondary analyses more fully in Chap. 4 . For now, what is important is that the process requires explaining why the data look like they do.

We must note that for us, the term “data” is not limited to numerical or quantitative data such as test scores. Data can also take many nonquantitative forms, including written survey responses, interview transcripts, journal entries, video recordings of students, teachers, and classrooms, text messages, and so forth.

Exercise 1.3

What are the implications of the statement that just “observing” is not enough to count as scientific inquiry? Does this mean that a detailed description of a phenomenon is not scientific inquiry?

Find sources that define research in education that differ with our position, that say description alone, without explanation, counts as scientific research. Identify the precise points where the opinions differ. What are the best arguments for each of the positions? Which do you prefer? Why?

Descriptor 3. Updating Everyone’s Thinking in Response to More and Better Information

This descriptor focuses on a third aspect of scientific inquiry: updating and advancing the field’s understanding of phenomena that are investigated. This descriptor foregrounds a powerful characteristic of scientific inquiry: the reliability (or trustworthiness) of what is learned and the ultimate inevitability of this learning to advance human understanding of phenomena. Humans might choose not to learn from scientific inquiry, but history suggests that scientific inquiry always has the potential to advance understanding and that, eventually, humans take advantage of these new understandings.

Before exploring these bold claims a bit further, note that this descriptor uses “information” in the same way the previous two descriptors used “experience” and “observations.” These are the stuff of scientific inquiry and we will use them often, sometimes interchangeably. Frequently, we will use the term “data” to stand for all these terms.

An overriding goal of scientific inquiry is for everyone to learn from what one scientist does. Much of this book is about the methods you need to use so others have faith in what you report and can learn the same things you learned. This aspect of scientific inquiry has many implications.

One implication is that scientific inquiry is not a private practice. It is a public practice available for others to see and learn from. Notice how different this is from everyday learning. When you happen to learn something from your everyday experience, often only you gain from the experience. The fact that research is a public practice means it is also a social one. It is best conducted by interacting with others along the way: soliciting feedback at each phase, taking opportunities to present work-in-progress, and benefitting from the advice of others.

A second implication is that you, as the researcher, must be committed to sharing what you are doing and what you are learning in an open and transparent way. This allows all phases of your work to be scrutinized and critiqued. This is what gives your work credibility. The reliability or trustworthiness of your findings depends on your colleagues recognizing that you have used all appropriate methods to maximize the chances that your claims are justified by the data.

A third implication of viewing scientific inquiry as a collective enterprise is the reverse of the second—you must be committed to receiving comments from others. You must treat your colleagues as fair and honest critics even though it might sometimes feel otherwise. You must appreciate their job, which is to remain skeptical while scrutinizing what you have done in considerable detail. To provide the best help to you, they must remain skeptical about your conclusions (when, for example, the data are difficult for them to interpret) until you offer a convincing logical argument based on the information you share. A rather harsh but good-to-remember statement of the role of your friendly critics was voiced by Karl Popper, a well-known twentieth century philosopher of science: “. . . if you are interested in the problem which I tried to solve by my tentative assertion, you may help me by criticizing it as severely as you can” (Popper, 1968, p. 27).

A final implication of this third descriptor is that, as someone engaged in scientific inquiry, you have no choice but to update your thinking when the data support a different conclusion. This applies to your own data as well as to those of others. When data clearly point to a specific claim, even one that is quite different than you expected, you must reconsider your position. If the outcome is replicated multiple times, you need to adjust your thinking accordingly. Scientific inquiry does not let you pick and choose which data to believe; it mandates that everyone update their thinking when the data warrant an update.

Doing Scientific Inquiry

We define scientific inquiry in an operational sense—what does it mean to do scientific inquiry? What kind of process would satisfy all three descriptors: carefully planning an experience in advance; observing and trying to explain what you see; and, contributing to updating everyone’s thinking about an important phenomenon?

We define scientific inquiry as formulating , testing , and revising hypotheses about phenomena of interest.

Of course, we are not the only ones who define it in this way. The definition for the scientific method posted by the editors of Britannica is: “a researcher develops a hypothesis, tests it through various means, and then modifies the hypothesis on the basis of the outcome of the tests and experiments” (Britannica, n.d. ).

Notice how defining scientific inquiry this way satisfies each of the descriptors. “Carefully planning an experience in advance” is exactly what happens when formulating a hypothesis about a phenomenon of interest and thinking about how to test it. “ Observing a phenomenon” occurs when testing a hypothesis, and “ explaining ” what is found is required when revising a hypothesis based on the data. Finally, “updating everyone’s thinking” comes from comparing publicly the original with the revised hypothesis.

Doing scientific inquiry, as we have defined it, underscores the value of accumulating knowledge rather than generating random bits of knowledge. Formulating, testing, and revising hypotheses is an ongoing process, with each revised hypothesis begging for another test, whether by the same researcher or by new researchers. The editors of Britannica signaled this cyclic process by adding the following phrase to their definition of the scientific method: “The modified hypothesis is then retested, further modified, and tested again.” Scientific inquiry creates a process that encourages each study to build on the studies that have gone before. Through collective engagement in this process of building study on top of study, the scientific community works together to update its thinking.

Before exploring more fully the meaning of “formulating, testing, and revising hypotheses,” we need to acknowledge that this is not the only way researchers define research. Some researchers prefer a less formal definition, one that includes more serendipity, less planning, less explanation. You might have come across more open definitions such as “research is finding out about something.” We prefer the tighter hypothesis formulation, testing, and revision definition because we believe it provides a single, coherent map for conducting research that addresses many of the thorny problems educational researchers encounter. We believe it is the most useful orientation toward research and the most helpful to learn as a beginning researcher.

A final clarification of our definition is that it applies equally to qualitative and quantitative research. This is a familiar distinction in education that has generated much discussion. You might think our definition favors quantitative methods over qualitative methods because the language of hypothesis formulation and testing is often associated with quantitative methods. In fact, we do not favor one method over another. In Chap. 4 , we will illustrate how our definition fits research using a range of quantitative and qualitative methods.

Exercise 1.4

Look for ways to extend what the field knows in an area that has already received attention by other researchers. Specifically, you can search for a program of research carried out by more experienced researchers that has some revised hypotheses that remain untested. Identify a revised hypothesis that you might like to test.

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

To get a full sense of the definition of scientific inquiry we will use throughout this book, it is helpful to spend a little time with each of the key terms.

We first want to make clear that we use the term “hypothesis” as it is defined in most dictionaries and as it used in many scientific fields rather than as it is usually defined in educational statistics courses. By “hypothesis,” we do not mean a null hypothesis that is accepted or rejected by statistical analysis. Rather, we use “hypothesis” in the sense conveyed by the following definitions: “An idea or explanation for something that is based on known facts but has not yet been proved” (Cambridge University Press, n.d. ), and “An unproved theory, proposition, or supposition, tentatively accepted to explain certain facts and to provide a basis for further investigation or argument” (Agnes & Guralnik, 2008 ).

We distinguish two parts to “hypotheses.” Hypotheses consist of predictions and rationales . Predictions are statements about what you expect to find when you inquire about something. Rationales are explanations for why you made the predictions you did, why you believe your predictions are correct. So, for us “formulating hypotheses” means making explicit predictions and developing rationales for the predictions.

“Testing hypotheses” means making observations that allow you to assess in what ways your predictions were correct and in what ways they were incorrect. In education research, it is rarely useful to think of your predictions as either right or wrong. Because of the complexity of most issues you will investigate, most predictions will be right in some ways and wrong in others.

By studying the observations you make (data you collect) to test your hypotheses, you can revise your hypotheses to better align with the observations. This means revising your predictions plus revising your rationales to justify your adjusted predictions. Even though you might not run another test, formulating revised hypotheses is an essential part of conducting a research study. Comparing your original and revised hypotheses informs everyone of what you learned by conducting your study. In addition, a revised hypothesis sets the stage for you or someone else to extend your study and accumulate more knowledge of the phenomenon.

We should note that not everyone makes a clear distinction between predictions and rationales as two aspects of hypotheses. In fact, common, non-scientific uses of the word “hypothesis” may limit it to only a prediction or only an explanation (or rationale). We choose to explicitly include both prediction and rationale in our definition of hypothesis, not because we assert this should be the universal definition, but because we want to foreground the importance of both parts acting in concert. Using “hypothesis” to represent both prediction and rationale could hide the two aspects, but we make them explicit because they provide different kinds of information. It is usually easier to make predictions than develop rationales because predictions can be guesses, hunches, or gut feelings about which you have little confidence. Developing a compelling rationale requires careful thought plus reading what other researchers have found plus talking with your colleagues. Often, while you are developing your rationale you will find good reasons to change your predictions. Developing good rationales is the engine that drives scientific inquiry. Rationales are essentially descriptions of how much you know about the phenomenon you are studying. Throughout this guide, we will elaborate on how developing good rationales drives scientific inquiry. For now, we simply note that it can sharpen your predictions and help you to interpret your data as you test your hypotheses.

Hypotheses in education research take a variety of forms or types. This is because there are a variety of phenomena that can be investigated. Investigating educational phenomena is sometimes best done using qualitative methods, sometimes using quantitative methods, and most often using mixed methods (e.g., Hay, 2016 ; Weis et al. 2019a ; Weisner, 2005 ). This means that, given our definition, hypotheses are equally applicable to qualitative and quantitative investigations.

Hypotheses take different forms when they are used to investigate different kinds of phenomena. Two very different activities in education could be labeled conducting experiments and descriptions. In an experiment, a hypothesis makes a prediction about anticipated changes, say the changes that occur when a treatment or intervention is applied. You might investigate how students’ thinking changes during a particular kind of instruction.

A second type of hypothesis, relevant for descriptive research, makes a prediction about what you will find when you investigate and describe the nature of a situation. The goal is to understand a situation as it exists rather than to understand a change from one situation to another. In this case, your prediction is what you expect to observe. Your rationale is the set of reasons for making this prediction; it is your current explanation for why the situation will look like it does.

You will probably read, if you have not already, that some researchers say you do not need a prediction to conduct a descriptive study. We will discuss this point of view in Chap. 2 . For now, we simply claim that scientific inquiry, as we have defined it, applies to all kinds of research studies. Descriptive studies, like others, not only benefit from formulating, testing, and revising hypotheses, but also need hypothesis formulating, testing, and revising.

One reason we define research as formulating, testing, and revising hypotheses is that if you think of research in this way you are less likely to go wrong. It is a useful guide for the entire process, as we will describe in detail in the chapters ahead. For example, as you build the rationale for your predictions, you are constructing the theoretical framework for your study (Chap. 3 ). As you work out the methods you will use to test your hypothesis, every decision you make will be based on asking, “Will this help me formulate or test or revise my hypothesis?” (Chap. 4 ). As you interpret the results of testing your predictions, you will compare them to what you predicted and examine the differences, focusing on how you must revise your hypotheses (Chap. 5 ). By anchoring the process to formulating, testing, and revising hypotheses, you will make smart decisions that yield a coherent and well-designed study.

Exercise 1.5

Compare the concept of formulating, testing, and revising hypotheses with the descriptions of scientific inquiry contained in Scientific Research in Education (NRC, 2002 ). How are they similar or different?

Exercise 1.6

Provide an example to illustrate and emphasize the differences between everyday learning/thinking and scientific inquiry.

Learning from Doing Scientific Inquiry

We noted earlier that a measure of what you have learned by conducting a research study is found in the differences between your original hypothesis and your revised hypothesis based on the data you collected to test your hypothesis. We will elaborate this statement in later chapters, but we preview our argument here.

Even before collecting data, scientific inquiry requires cycles of making a prediction, developing a rationale, refining your predictions, reading and studying more to strengthen your rationale, refining your predictions again, and so forth. And, even if you have run through several such cycles, you still will likely find that when you test your prediction you will be partly right and partly wrong. The results will support some parts of your predictions but not others, or the results will “kind of” support your predictions. A critical part of scientific inquiry is making sense of your results by interpreting them against your predictions. Carefully describing what aspects of your data supported your predictions, what aspects did not, and what data fell outside of any predictions is not an easy task, but you cannot learn from your study without doing this analysis.

Analyzing the matches and mismatches between your predictions and your data allows you to formulate different rationales that would have accounted for more of the data. The best revised rationale is the one that accounts for the most data. Once you have revised your rationales, you can think about the predictions they best justify or explain. It is by comparing your original rationales to your new rationales that you can sort out what you learned from your study.

Suppose your study was an experiment. Maybe you were investigating the effects of a new instructional intervention on students’ learning. Your original rationale was your explanation for why the intervention would change the learning outcomes in a particular way. Your revised rationale explained why the changes that you observed occurred like they did and why your revised predictions are better. Maybe your original rationale focused on the potential of the activities if they were implemented in ideal ways and your revised rationale included the factors that are likely to affect how teachers implement them. By comparing the before and after rationales, you are describing what you learned—what you can explain now that you could not before. Another way of saying this is that you are describing how much more you understand now than before you conducted your study.

Revised predictions based on carefully planned and collected data usually exhibit some of the following features compared with the originals: more precision, more completeness, and broader scope. Revised rationales have more explanatory power and become more complete, more aligned with the new predictions, sharper, and overall more convincing.

Part II. Why Do Educators Do Research?

Doing scientific inquiry is a lot of work. Each phase of the process takes time, and you will often cycle back to improve earlier phases as you engage in later phases. Because of the significant effort required, you should make sure your study is worth it. So, from the beginning, you should think about the purpose of your study. Why do you want to do it? And, because research is a social practice, you should also think about whether the results of your study are likely to be important and significant to the education community.

If you are doing research in the way we have described—as scientific inquiry—then one purpose of your study is to understand , not just to describe or evaluate or report. As we noted earlier, when you formulate hypotheses, you are developing rationales that explain why things might be like they are. In our view, trying to understand and explain is what separates research from other kinds of activities, like evaluating or describing.

One reason understanding is so important is that it allows researchers to see how or why something works like it does. When you see how something works, you are better able to predict how it might work in other contexts, under other conditions. And, because conditions, or contextual factors, matter a lot in education, gaining insights into applying your findings to other contexts increases the contributions of your work and its importance to the broader education community.

Consequently, the purposes of research studies in education often include the more specific aim of identifying and understanding the conditions under which the phenomena being studied work like the observations suggest. A classic example of this kind of study in mathematics education was reported by William Brownell and Harold Moser in 1949 . They were trying to establish which method of subtracting whole numbers could be taught most effectively—the regrouping method or the equal additions method. However, they realized that effectiveness might depend on the conditions under which the methods were taught—“meaningfully” versus “mechanically.” So, they designed a study that crossed the two instructional approaches with the two different methods (regrouping and equal additions). Among other results, they found that these conditions did matter. The regrouping method was more effective under the meaningful condition than the mechanical condition, but the same was not true for the equal additions algorithm.

What do education researchers want to understand? In our view, the ultimate goal of education is to offer all students the best possible learning opportunities. So, we believe the ultimate purpose of scientific inquiry in education is to develop understanding that supports the improvement of learning opportunities for all students. We say “ultimate” because there are lots of issues that must be understood to improve learning opportunities for all students. Hypotheses about many aspects of education are connected, ultimately, to students’ learning. For example, formulating and testing a hypothesis that preservice teachers need to engage in particular kinds of activities in their coursework in order to teach particular topics well is, ultimately, connected to improving students’ learning opportunities. So is hypothesizing that school districts often devote relatively few resources to instructional leadership training or hypothesizing that positioning mathematics as a tool students can use to combat social injustice can help students see the relevance of mathematics to their lives.

We do not exclude the importance of research on educational issues more removed from improving students’ learning opportunities, but we do think the argument for their importance will be more difficult to make. If there is no way to imagine a connection between your hypothesis and improving learning opportunities for students, even a distant connection, we recommend you reconsider whether it is an important hypothesis within the education community.

Notice that we said the ultimate goal of education is to offer all students the best possible learning opportunities. For too long, educators have been satisfied with a goal of offering rich learning opportunities for lots of students, sometimes even for just the majority of students, but not necessarily for all students. Evaluations of success often are based on outcomes that show high averages. In other words, if many students have learned something, or even a smaller number have learned a lot, educators may have been satisfied. The problem is that there is usually a pattern in the groups of students who receive lower quality opportunities—students of color and students who live in poor areas, urban and rural. This is not acceptable. Consequently, we emphasize the premise that the purpose of education research is to offer rich learning opportunities to all students.

One way to make sure you will be able to convince others of the importance of your study is to consider investigating some aspect of teachers’ shared instructional problems. Historically, researchers in education have set their own research agendas, regardless of the problems teachers are facing in schools. It is increasingly recognized that teachers have had trouble applying to their own classrooms what researchers find. To address this problem, a researcher could partner with a teacher—better yet, a small group of teachers—and talk with them about instructional problems they all share. These discussions can create a rich pool of problems researchers can consider. If researchers pursued one of these problems (preferably alongside teachers), the connection to improving learning opportunities for all students could be direct and immediate. “Grounding a research question in instructional problems that are experienced across multiple teachers’ classrooms helps to ensure that the answer to the question will be of sufficient scope to be relevant and significant beyond the local context” (Cai et al., 2019b , p. 115).

As a beginning researcher, determining the relevance and importance of a research problem is especially challenging. We recommend talking with advisors, other experienced researchers, and peers to test the educational importance of possible research problems and topics of study. You will also learn much more about the issue of research importance when you read Chap. 5 .

Exercise 1.7

Identify a problem in education that is closely connected to improving learning opportunities and a problem that has a less close connection. For each problem, write a brief argument (like a logical sequence of if-then statements) that connects the problem to all students’ learning opportunities.

Part III. Conducting Research as a Practice of Failing Productively

Scientific inquiry involves formulating hypotheses about phenomena that are not fully understood—by you or anyone else. Even if you are able to inform your hypotheses with lots of knowledge that has already been accumulated, you are likely to find that your prediction is not entirely accurate. This is normal. Remember, scientific inquiry is a process of constantly updating your thinking. More and better information means revising your thinking, again, and again, and again. Because you never fully understand a complicated phenomenon and your hypotheses never produce completely accurate predictions, it is easy to believe you are somehow failing.

The trick is to fail upward, to fail to predict accurately in ways that inform your next hypothesis so you can make a better prediction. Some of the best-known researchers in education have been open and honest about the many times their predictions were wrong and, based on the results of their studies and those of others, they continuously updated their thinking and changed their hypotheses.

A striking example of publicly revising (actually reversing) hypotheses due to incorrect predictions is found in the work of Lee J. Cronbach, one of the most distinguished educational psychologists of the twentieth century. In 1955, Cronbach delivered his presidential address to the American Psychological Association. Titling it “Two Disciplines of Scientific Psychology,” Cronbach proposed a rapprochement between two research approaches—correlational studies that focused on individual differences and experimental studies that focused on instructional treatments controlling for individual differences. (We will examine different research approaches in Chap. 4 ). If these approaches could be brought together, reasoned Cronbach ( 1957 ), researchers could find interactions between individual characteristics and treatments (aptitude-treatment interactions or ATIs), fitting the best treatments to different individuals.

In 1975, after years of research by many researchers looking for ATIs, Cronbach acknowledged the evidence for simple, useful ATIs had not been found. Even when trying to find interactions between a few variables that could provide instructional guidance, the analysis, said Cronbach, creates “a hall of mirrors that extends to infinity, tormenting even the boldest investigators and defeating even ambitious designs” (Cronbach, 1975 , p. 119).

As he was reflecting back on his work, Cronbach ( 1986 ) recommended moving away from documenting instructional effects through statistical inference (an approach he had championed for much of his career) and toward approaches that probe the reasons for these effects, approaches that provide a “full account of events in a time, place, and context” (Cronbach, 1986 , p. 104). This is a remarkable change in hypotheses, a change based on data and made fully transparent. Cronbach understood the value of failing productively.

Closer to home, in a less dramatic example, one of us began a line of scientific inquiry into how to prepare elementary preservice teachers to teach early algebra. Teaching early algebra meant engaging elementary students in early forms of algebraic reasoning. Such reasoning should help them transition from arithmetic to algebra. To begin this line of inquiry, a set of activities for preservice teachers were developed. Even though the activities were based on well-supported hypotheses, they largely failed to engage preservice teachers as predicted because of unanticipated challenges the preservice teachers faced. To capitalize on this failure, follow-up studies were conducted, first to better understand elementary preservice teachers’ challenges with preparing to teach early algebra, and then to better support preservice teachers in navigating these challenges. In this example, the initial failure was a necessary step in the researchers’ scientific inquiry and furthered the researchers’ understanding of this issue.

We present another example of failing productively in Chap. 2 . That example emerges from recounting the history of a well-known research program in mathematics education.

Making mistakes is an inherent part of doing scientific research. Conducting a study is rarely a smooth path from beginning to end. We recommend that you keep the following things in mind as you begin a career of conducting research in education.

First, do not get discouraged when you make mistakes; do not fall into the trap of feeling like you are not capable of doing research because you make too many errors.

Second, learn from your mistakes. Do not ignore your mistakes or treat them as errors that you simply need to forget and move past. Mistakes are rich sites for learning—in research just as in other fields of study.

Third, by reflecting on your mistakes, you can learn to make better mistakes, mistakes that inform you about a productive next step. You will not be able to eliminate your mistakes, but you can set a goal of making better and better mistakes.

Exercise 1.8

How does scientific inquiry differ from everyday learning in giving you the tools to fail upward? You may find helpful perspectives on this question in other resources on science and scientific inquiry (e.g., Failure: Why Science is So Successful by Firestein, 2015).

Exercise 1.9

Use what you have learned in this chapter to write a new definition of scientific inquiry. Compare this definition with the one you wrote before reading this chapter. If you are reading this book as part of a course, compare your definition with your colleagues’ definitions. Develop a consensus definition with everyone in the course.

Part IV. Preview of Chap. 2

Now that you have a good idea of what research is, at least of what we believe research is, the next step is to think about how to actually begin doing research. This means how to begin formulating, testing, and revising hypotheses. As for all phases of scientific inquiry, there are lots of things to think about. Because it is critical to start well, we devote Chap. 2 to getting started with formulating hypotheses.

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Hiebert, J., Cai, J., Hwang, S., Morris, A.K., Hohensee, C. (2023). What Is Research, and Why Do People Do It?. In: Doing Research: A New Researcher’s Guide. Research in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-031-19078-0_1

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Eight Ways (and More) To Find and Access Research Papers

This blog is part of our Research Smarter series. You’ll discover the various search engines, databases and data repositories to help you along the way. Click on any of the following links for in an in-depth look at how to find relevant research papers, journals , and authors for your next project using the Web of Science™. You can  also check out our ultimate guides here , which include tips to speed up the writing process.

If you’re in the early stages of your research career, you’re likely struggling to learn all you can about your chosen field and evaluate your options. You also need an easy and convenient way to find the right research papers upon which to build your own work and keep you on the proper path toward your goals.

Fortunately, most institutions have access to thousands of journals, so your first step should be to be to check with library staff  and find out what is available via your institutional subscriptions.

For those who may be unfamiliar with other means of access, this blog post – the first in a series devoted to helping you “research smarter” – will provide a sampling of established data sources for scientific research. These include search engines, databases, and data repositories.

Search Engines and Databases

You may have already discovered that the process of searching for research papers offers many choices and scenarios. Some search engines, for example, can be accessed free of charge. Others require a subscription. The latter group generally includes services that index the contents of thousands of published journals, allowing for detailed searches on data fields such as author name, institution, title or keyword, and even funding sources. Because many journals operate on a subscription model too, the process of obtaining full-text versions of papers can be complicated.

On the other hand, a growing number of publishers follow the practice of Open Access (OA) , making their journal content freely available. Similarly, some authors publish their results in the form of preprints, posting them to preprint servers for immediate and free access. These repositories, like indexing services, differ in that some concentrate in a given discipline or broad subject area, while others cover the full range of research.

Search Engines

Following is a brief selection of reputable search engines by which to locate articles relevant to your research.

Google Scholar is a free search engine that provides access to research in multiple disciplines. The sources include academic publishers, universities, online repositories, books, and even judicial opinions from court cases. Based on its indexing, Google Scholar provides citation counts to allow authors and others to track the impact of their work.  

The Directory of Open Access Journals ( DOAJ ) allows users to search and retrieve the article contents of nearly 10,000 OA journals in science, technology, medicine, social sciences, and humanities. All journals must adhere to quality-control standards, including peer review.

PubMed , maintained by the US National Library of Medicine, is a free search engine covering the biomedical and life sciences. Its coverage derives primarily from the MEDLINE database, covering materials as far back as 1951.

JSTOR affords access to more than 12 million journal articles in upwards of 75 disciplines, providing full-text searches of more than 2,000 journals, and access to more than 5,000 OA books.

Selected Databases

The following selection samples a range of resources, including databases which, as discussed above, index the contents of journals either in a given specialty area or the full spectrum of research. Others listed below offer consolidated coverage of multiple databases. Your institution is likely subscribed to a range of research databases, speak to your librarian to see which databases you have access to, and how to go about your search.

Web of Science includes The Web of Science Core Collection, which covers more than 20,000 carefully selected journals, along with books, conference proceedings, and other sources. The indexing also captures citation data, permitting users to follow the thread of an idea or development over time, as well as to track a wide range of research-performance metrics. The Web of Science also features EndNote™ Click , a free browser plugin that offers one-click access to the best available legal and legitimate full-text versions of papers. See here for our ultimate guide to finding relevant research papers on the Web of Science .

Science.gov covers the vast territory of United States federal science, including more than 60 databases and 2,200-plus websites. The many allied agencies whose research is reflected include NASA, the US Department of Agriculture, and the US Environmental Protection Agency.

CiteSeerx is devoted primarily to information and computer science. The database includes a feature called Autonomous Citation Indexing, designed to extract citations and create a citation index for literature searching and evaluation.

Preprint and Data Repositories

An early form of OA literature involved authors, as noted above,  making electronic, preprint versions of their papers freely available. This practice has expanded widely today. You can find archives devoted to a single main specialty area, as well as general repositories connected with universities and other institutions.

The specialty archive is perhaps best exemplified by arXiv (conveniently pronounced “archive,” and one of the earliest examples of a preprint repository). Begun in 1991 as a physics repository, ArXiv has expanded to embrace mathematics, astronomy, statistics, economics, and other disciplines. The success of ArXiv spurred the development of, for example, bioArXiv devoted to an array of topics within biology, and for chemistry, ChemRxiv .

Meanwhile, thousands of institutional repositories hold a variety of useful materials. In addition to research papers, these archives store raw datasets, graphics, notes, and other by-products of investigation. Currently, the Registry of Open Access Repositories lists more than 4,700 entries.

Reach Out Yourself?

If the resources above don’t happen to result in a free and full-text copy of the research you seek, you can also try reaching out to the authors yourself.

To find who authored a paper, you can search indexing platforms like the Web of Science , or research profiling systems like Publons™ , or ResearchGate , then look to reach out to the authors directly.

So, although the sheer volume of research can pose a challenge to identifying and securing needed papers, plenty of options are available.

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Unlocking u.k. research excellence: key insights from the research professional news live summit.

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Critical Writing Seminar: Craft Of Prose (Spring 2024): Researching the White Paper

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Research the White Paper

Researching the White Paper:

The process of researching and composing a white paper shares some similarities with the kind of research and writing one does for a high school or college research paper. What’s important for writers of white papers to grasp, however, is how much this genre differs from a research paper.  First, the author of a white paper already recognizes that there is a problem to be solved, a decision to be made, and the job of the author is to provide readers with substantive information to help them make some kind of decision--which may include a decision to do more research because major gaps remain. 

Thus, a white paper author would not “brainstorm” a topic. Instead, the white paper author would get busy figuring out how the problem is defined by those who are experiencing it as a problem. Typically that research begins in popular culture--social media, surveys, interviews, newspapers. Once the author has a handle on how the problem is being defined and experienced, its history and its impact, what people in the trenches believe might be the best or worst ways of addressing it, the author then will turn to academic scholarship as well as “grey” literature (more about that later).  Unlike a school research paper, the author does not set out to argue for or against a particular position, and then devote the majority of effort to finding sources to support the selected position.  Instead, the author sets out in good faith to do as much fact-finding as possible, and thus research is likely to present multiple, conflicting, and overlapping perspectives. When people research out of a genuine desire to understand and solve a problem, they listen to every source that may offer helpful information. They will thus have to do much more analysis, synthesis, and sorting of that information, which will often not fall neatly into a “pro” or “con” camp:  Solution A may, for example, solve one part of the problem but exacerbate another part of the problem. Solution C may sound like what everyone wants, but what if it’s built on a set of data that have been criticized by another reliable source?  And so it goes. 

For example, if you are trying to write a white paper on the opioid crisis, you may focus on the value of  providing free, sterilized needles--which do indeed reduce disease, and also provide an opportunity for the health care provider distributing them to offer addiction treatment to the user. However, the free needles are sometimes discarded on the ground, posing a danger to others; or they may be shared; or they may encourage more drug usage. All of those things can be true at once; a reader will want to know about all of these considerations in order to make an informed decision. That is the challenging job of the white paper author.     
 The research you do for your white paper will require that you identify a specific problem, seek popular culture sources to help define the problem, its history, its significance and impact for people affected by it.  You will then delve into academic and grey literature to learn about the way scholars and others with professional expertise answer these same questions. In this way, you will create creating a layered, complex portrait that provides readers with a substantive exploration useful for deliberating and decision-making. You will also likely need to find or create images, including tables, figures, illustrations or photographs, and you will document all of your sources. 

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Research Building Blocks: Notes, Quotes, and Fact Fragments

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• Instructional Plan
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Through a teacher-modeled activity, students learn the importance of finding the words in sentences and paragraphs that contain the facts they need. Students then practice finding these fact fragments in small groups using an online activity. Next, they turn fact fragments into complete sentences written in their own words, moving from teacher modeling, to small group work, to independent practice. Finally, they arrange the sentences they have created into complete paragraphs.

Featured Resources

Fact Fragment Frenzy : This online activity offers an animated think-aloud demonstrating how to find important fact fragments in a nonfiction passage. Students then practice the skill by dragging fact fragments onto a notepad.

From Theory to Practice

Teaching the process and application of research should be an ongoing part of all school curriculums. It is important that research components are taught all through the year, beginning on the first day of school. Dreher et al. explain that "[S]tudents need to learn creative and multifaceted approaches to research and inquiry. The ability to identify good topics, to gather information, and to evaluate, assemble, and interpret findings from among the many general and specialized information sources now available to them is one of the most vital skills that students can acquire" (39). In "Nonfiction Inquiry: Using Real Reading and Writing to Explore the World," Stephanie Harvey also stresses the importance of nonfiction: "Nonfiction enhances our understanding. It allows us to investigate the real world and inspires us to dig deeper to inquire and better understand." (13)

Further Reading

Common Core Standards

This resource has been aligned to the Common Core State Standards for states in which they have been adopted. If a state does not appear in the drop-down, CCSS alignments are forthcoming.

State Standards

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NCTE/IRA National Standards for the English Language Arts

• 3. Students apply a wide range of strategies to comprehend, interpret, evaluate, and appreciate texts. They draw on their prior experience, their interactions with other readers and writers, their knowledge of word meaning and of other texts, their word identification strategies, and their understanding of textual features (e.g., sound-letter correspondence, sentence structure, context, graphics).
• 4. Students adjust their use of spoken, written, and visual language (e.g., conventions, style, vocabulary) to communicate effectively with a variety of audiences and for different purposes.
• 5. Students employ a wide range of strategies as they write and use different writing process elements appropriately to communicate with different audiences for a variety of purposes.
• 6. Students apply knowledge of language structure, language conventions (e.g., spelling and punctuation), media techniques, figurative language, and genre to create, critique, and discuss print and nonprint texts.
• 7. Students conduct research on issues and interests by generating ideas and questions, and by posing problems. They gather, evaluate, and synthesize data from a variety of sources (e.g., print and nonprint texts, artifacts, people) to communicate their discoveries in ways that suit their purpose and audience.
• 8. Students use a variety of technological and information resources (e.g., libraries, databases, computer networks, video) to gather and synthesize information and to create and communicate knowledge.
• 11. Students participate as knowledgeable, reflective, creative, and critical members of a variety of literacy communities.
• 12. Students use spoken, written, and visual language to accomplish their own purposes (e.g., for learning, enjoyment, persuasion, and the exchange of information).
• Notes and Quotes Activity #1
• Notes and Quotes Activity #2
• Notes and Quotes Activity #3

Preparation

For background information on plagiarism and examples of acceptable/unacceptable paraphrasing, see Plagiarism: What It is and How to Recognize and Avoid It .

Student Objectives

Students will

• use a variety of graphic organizers to connect important ideas in text to prior knowledge and other reading.
• demonstrate an accurate understanding of information and differentiate between fact and opinion.
• interpret concepts or make connections through analysis, evaluation, inference, and/or comparison.
• collect and analyze information relevant to the topic.
• discriminate between relevant and irrelevant information.
• access and use information from a variety of sources.
• organize, synthesize, and paraphrase/summarize information.

Instruction & Activities

• Discuss note taking with the students. Provide them with the following definition: "A note is a "fact fragment"—a piece of information that will become a complete thought in the writing process."
• Too much information to write down if you were writing complete sentences
• Plagiarism—discussion topic
• After the students understand the concept of why note taking is needed, model taking notes with the students by completing Notes and Quotes Activity #1 .
• It works well if students can see the paragraph while the teacher is writing fact fragments identified by the students.
• Fact Fragment Frenzy is an online activity that students can complete in small groups. This interactive requires students to locate key vocabulary in a passage and drag it over to a work area to create their own fact fragments. The work can be printed out as an assessment of their understanding of the thought process involved in finding key words without plagiarizing.
• The next part of note taking is turning the notes, or fact fragments, into sentences. This step is important because it turns information you find into your own words. Model the process of turning notes into sentences by completing Notes and Quotes Activity #2 .
• It is useful for students to be able to see the orginal notes while constructing sentences. The first two sentences could be whole class and moving to small group and finally the last sentence would be contructed by each student.
• Using the fact fragments created and printed out by the small groups, students can practice turning their fact fragements into sentences.
• Once notes have been taken and sentences written, the students need to learn how to organize the sentences into paragraphs. The teacher can model the process by completing Notes and Quotes Activity #3 as a whole class.
• Using the animal sentences created in small groups, ask students to move from sentences to paragraph construction.
• When the students have had guided practice with note taking, sentence writing, and the creation of paragraphs, they are ready to get started on their own research report!

Student Assessment / Reflections

• Observations during modeling of skills will help the teacher determine if students are ready to attempt the tasks in small groups.
• Based upon samples collected from small groups, some students might require a conference to receive more instruction before attempting the task with multiple sources independently.
• As part of the guided practice students will be asked to find fact fragements in sample nonfiction passages on animals. Students will print their finished product from the fact finding online activity . The teacher should examine those for accuracy before asking students to find facts in multiple sources independently.
• As part of the guided practice students will be asked to use the fact fragements found in the sample nonfiction passages on animals and turn them into complete sentences. The teacher should examine those to make sure concepts were portrayed accurately without plagiarizing the text before asking students to move from finding facts to writing sentences independently.
• Again by asking the students to use the sentences they have completed to formulate paragraphs, their understanding of the process can be checked before they move on to implementing this strategy with less familiar content.
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Fact Fragment Frenzy provides elementary students with an online model for finding facts in nonfiction text, then invites students to find facts in five sample passages.

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Good Example Of Labor Relations: Collective Bargaining Agreements Research Paper

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Abstract Keywords: collective bargaining agreements, grievance procedure, mediation, arbitration, fact finding, covenant of good faith and fair dealing. The parties should study all the circumstances and define grievance procedure. Background of the grievances can be of different nature, depending on place, industry, corporate culture etc.

Grievance procedure: Background.

Academic research paper on facts.

Secretary of Labor v. Cities Service Oil Co.and theOccupational Safety & Health Review Commission

Introduction

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Does nothing stop a bullet like a job? The effects of income on crime

Do jobs and income-transfer programs affect crime? The answer depends on why one is asking the question, which shapes what one means by “crime.” Many studies focus on understanding why overall crime rates vary across people, places, and time; since 80% of all crimes are property offenses, that’s what this type of research typically explains. But if the goal is to understand what to do about the crime problem, the focus will instead be on serious violent crimes, which account for the majority of the social costs of crime. The best available evidence suggests that policies that reduce economic desperation reduce property crime (and hence overall crime rates) but have little systematic relationship to violent crime. The difference in impacts surely stems in large part from the fact that most violent crimes, including murder, are not crimes of profit but rather crimes of passion – including rage. Policies to alleviate material hardship, as important and useful as those are for improving people’s lives and well-being, are not by themselves sufficient to also substantially alleviate the burden of crime on society.

When citing this paper, please use the following: “Ludwig, J, Schnepel, K. 2024. Does nothing stop a bullet like a job? The effects of income on crime. Annual Review of Criminology. Submitted.” Thanks to Shawn Bushway, Jillian Carr, Aaron Chalfin and Philip Cook for helpful comments, and to Maggi Ibis, Javier Lopez, Biz Rasich and Alejandro Roemer for outstanding assistance. All opinions and any errors are of course our own. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.

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After being insulted, writing down your feelings on paper then getting rid of it reduces anger

A research group in Japan has discovered that writing down one's reaction to a negative incident on a piece of paper and then shredding it or throwing it away reduces feelings of anger.

"We expected that our method would suppress anger to some extent," lead researcher Nobuyuki Kawai said. "However, we were amazed that anger was eliminated almost entirely."

This research is important because controlling anger at home and in the workplace can reduce negative consequences in our jobs and personal lives. Unfortunately, many anger management techniques proposed by specialists lack empirical research support. They can also be difficult to recall when angry.

The results of this study, published in Scientific Reports , are the culmination of years of previous research on the association between the written word and anger reduction. It builds on work showing how interactions with physical objects can control a person's mood.

For their project, Kawai and his graduate student Yuta Kanaya, both at the Graduate School of Informatics, Nagoya University, asked participants to write brief opinions about important social problems, such as whether smoking in public should be outlawed. They then told them that a doctoral student at Nagoya University would evaluate their writing.

However, the doctoral students doing the evaluation were plants. Regardless of what the participants wrote, the evaluators scored them low on intelligence, interest, friendliness, logic, and rationality. To really drive home the point, the doctoral students also wrote the same insulting comment: "I cannot believe an educated person would think like this. I hope this person learns something while at the university."

After handing out these negative comments, the researchers asked the participants to write their thoughts on the feedback, focusing on what triggered their emotions. Finally, one group of participants was told to either dispose of the paper they wrote in a trash can or keep it in a file on their desk. A second group was told to destroy the document in a shredder or put it in a plastic box.

The students were then asked to rate their anger after the insult and after either disposing of or keeping the paper. As expected, all participants reported a higher level of anger after receiving insulting comments. However, the anger levels of the individuals who discarded their paper in the trash can or shredded it returned to their initial state after disposing of the paper. Meanwhile, the participants who held on to a hard copy of the insult experienced only a small decrease in their overall anger.

Kawai imagines using his research to help businesspeople who find themselves in stressful situations. "This technique could be applied in the moment by writing down the source of anger as if taking a memo and then throwing it away when one feels angry in a business situation," he explained.

Along with its practical benefits, this discovery may shed light on the origins of the Japanese cultural tradition known as hakidashisara ( hakidashi refers to the purging or spitting out of something, and sara refers to a dish or plate) at the Hiyoshi shrine in Kiyosu, Aichi Prefecture, just outside of Nagoya. Hakidashisara is an annual festival where people smash small discs representing things that make them angry. Their findings may explain the feeling of relief that participants report after leaving the festival.

• Anger Management
• Social Psychology
• Disorders and Syndromes
• Educational Psychology
• Consumer Behavior
• Anger management
• Social psychology
• Cognitive dissonance
• Self-awareness
• Obsessive-compulsive disorder
• Collaboration

Story Source:

Materials provided by Nagoya University . Note: Content may be edited for style and length.

Journal Reference :

• Yuta Kanaya, Nobuyuki Kawai. Anger is eliminated with the disposal of a paper written because of provocation . Scientific Reports , 2024; 14 (1) DOI: 10.1038/s41598-024-57916-z

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Gender medicine ‘built on shaky foundations’, Cass review finds

Analysis finds most research underpinning clinical guidelines, hormone treatments and puberty blockers to be low quality

Review of gender services has major implications for mental health services

The head of the world’s largest review into children’s care has said that gender medicine is “built on shaky foundations”.

Dr Hilary Cass, the paediatrician commissioned to conduct a review of the services provided by the NHS to children and young people questioning their gender identity, said that while doctors tended to be cautious in implementing new findings in emerging areas of medicine, “quite the reverse happened in the field of gender care for children”.

Cass commissioned the University of York to conduct a series of analyses as part of her review.

Two papers examined the quality and development of current guidelines and recommendations for managing gender dysphoria in children and young people. Most of the 23 clinical guidelines reviewed were not independent or evidence based, the researchers found.

A third paper on puberty blockers found that of 50 studies, only one was of high quality.

Similarly, of 53 studies included in a fourth paper on the use of hormone treatment, only one was of sufficiently high quality, with little or only inconsistent evidence on key outcomes.

Here are the main findings of the reviews:

Clinical guidelines

Increasing numbers of children and young people experiencing gender dysphoria are being referred to specialist gender services. There are various guidelines outlining approaches to the clinical care of these children and adolescents.

In the first two papers, the York researchers examined the quality and development of published guidelines or clinical guidance containing recommendations for managing gender dysphoria in children and young people up to the age of 18.

They studied a total of 23 guidelines published in different countries between 1998 and 2022. All but two were published after 2010.

Most of them lacked “an independent and evidence-based approach and information about how recommendations were developed”, the researchers said.

Few guidelines were informed by a systematic review of empirical evidence and they lack transparency about how their recommendations were developed. Only two reported consulting directly with children and young people during their development, the York academics found.

“Healthcare services and professionals should take into account the poor quality and interrelated nature of published guidance to support the management of children and adolescents experiencing gender dysphoria/incongruence,” the researchers wrote.

Writing in the British Medical Journal (BMJ) , Cass said that while medicine was usually based on the pillars of integrating the best available research evidence with clinical expertise, and patient values and preferences, she “found that in gender medicine those pillars are built on shaky foundations”.

She said the World Professional Association of Transgender Healthcare (WPATH) had been “highly influential in directing international practice, although its guidelines were found by the University of York’s appraisal to lack developmental rigour and transparency”.

In the foreword to her report, Cass said while doctors tended to be cautious in implementing new findings “quite the reverse happened in the field of gender care for children”.

In one example, she said a single Dutch medical study, “suggesting puberty blockers may improve psychological wellbeing for a narrowly defined group of children with gender incongruence”, had formed the basis for their use to “spread at pace to other countries”. Subsequently, there was a “greater readiness to start masculinising/feminising hormones in mid-teens”.

She added: “Some practitioners abandoned normal clinical approaches to holistic assessment, which has meant that this group of young people have been exceptionalised compared to other young people with similarly complex presentations. They deserve very much better.”

Both papers repeatedly pointed to a key problem in this area of medicine: a dearth of good data.

She said: “Filling this knowledge gap would be of great help to the young people wanting to make informed choices about their treatment.”

Cass said the NHS should put in place a “full programme of research” looking at the characteristics, interventions and outcomes of every young person presenting to gender services, with consent routinely sought for enrolment in a research study that followed them into adulthood.

Gender medicine was “an area of remarkably weak evidence”, her review found, with study results also “exaggerated or misrepresented by people on all sides of the debate to support their viewpoint”.

Alongside a puberty blocker trial, which could be in place by December, there should be research into psychosocial interventions and the use of the masculinising and feminising hormones testosterone and oestrogen, the review found.

Hormone treatment

Many trans people who seek medical intervention in their transition opt to take hormones to masculinise or feminise their body, an approach that has been used in transgender adults for decades.

“It is a well-established practice that has transformed the lives of many transgender people,” the Cass review notes, adding that while these drugs are not without long-term problems and side-effects, for many they are dramatically outweighed by the benefits.

For birth-registered females, the approach means taking testosterone, which brings about changes including the growth of facial hair and a deepening of the voice, while for birth-registered males, it involves taking hormones including oestrogen to promote changes including the growth of breasts and an increase in body fat. Some of these changes may be irreversible.

However, in recent years a growing proportion of adolescents have begun taking these cross-sex, or gender-affirming, hormones, with the vast majority who are prescribed puberty blockers subsequently moving on to such medication.

This growing take-up among young people has led to questions over the impact of these hormones in areas ranging from mental health to sexual functioning and fertility.

Now researchers at the University of York have carried out a review of the evidence, comprising an analysis of 53 previously published studies, in an attempt to set out what is known – and what is not – about the risks, benefits and possible side-effects of such hormones on young people.

All but one study, which looked at side-effects, were rated of moderate or low quality, with the researchers finding limited evidence for the impact of such hormones on trans adolescents with respect to outcomes, including gender dysphoria and body satisfaction.

The researchers noted inconsistent findings around the impact of such hormones on growth, height, bone health and cardiometabolic effects, such as BMI and cholesterol markers. In addition, they found no study assessed fertility in birth-registered females, and only one looked at fertility in birth-registered males.

“These findings add to other systematic reviews in concluding there is insufficient and/or inconsistent evidence about the risks and benefits of hormone interventions in this population,” the authors write.

However, the review did find some evidence that masculinising or feminising hormones might help with psychological health in young trans people. An analysis of five studies in the area suggested hormone treatment may improve depression, anxiety and other aspects of mental health in adolescents after 12 months of treatment, with three of four studies reporting an improvement around suicidality and/or self-harm (one reported no change).

But unpicking the precise role of such hormones is difficult. “Most studies included adolescents who received puberty suppression, making it difficult to determine the effects of hormones alone,” the authors write, adding that robust research on psychological health with long-term follow-up was needed.

The Cass review has recommended NHS England should review the current policy on masculinising or feminising hormones, advising that while there should be the option to provide such drugs from age 16, extreme caution was recommended, and there should be a clear clinical rationale for not waiting until an individual reached 18.

Puberty blockers

Treatments to suppress puberty in adolescents became available through routine clinical practice in the UK a decade ago.

While the drugs have long been used to treat precocious puberty – when children start puberty at an extremely young age – they have only been used off-label in children with gender dysphoria or incongruence since the late 1990s. The rationale for giving puberty blockers, which originated in the Netherlands, was to buy thinking time for young people and improve their ability to smooth their transition in later life.

Data from gender clinics reported in the Cass review showed the vast majority of people who started puberty suppression went on to have masculinising or feminising hormones, suggesting that puberty blockers did not buy people time to think.

To understand the broader effects of puberty blockers, researchers at the University of York identified 50 papers that reported on the effects of the drugs in adolescents with gender dysphoria or incongruence. According to their systematic review, only one of these studies was high quality, with a further 25 papers regarded as moderate quality. The remaining 24 were deemed too weak to be included in the analysis.

Many of the reports looked at how well puberty was suppressed and the treatment’s side-effects, but fewer looked at whether the drugs had their intended benefits.

Of two studies that investigated gender dysphoria and body satisfaction, neither found a change after receiving puberty blockers. The York team found “very limited” evidence that puberty blockers improved mental health.

Overall, the researchers said “no conclusions” could be drawn about the impact on gender dysphoria, mental and psychosocial health or cognitive development, though there was some evidence bone health and height may be compromised during treatment.

Based on the York work, the Cass review finds that puberty blockers offer no obvious benefit in helping transgender males to help their transition in later life, particularly if the drugs do not lead to an increase in height in adult life. For transgender females, the benefits of stopping irreversible changes such as a deeper voice and facial hair have to be weighed up against the need for penile growth should the person opt for vaginoplasty, the creation of a vagina and vulva.

In March, NHS England announced that children with gender dysphoria would no longer receive puberty blockers as routine practice. Instead, their use will be confined to a trial that the Cass review says should form part of a broader research programme into the effects of masculinising and feminising hormones.

• Transgender
• Young people

More on this story

Cass review must be used as ‘watershed moment’ for NHS gender services, says Streeting

‘This isn’t how good scientific debate happens’: academics on culture of fear in gender medicine research

Five thousand children with gender-related distress awaiting NHS care in England

Ban on children’s puberty blockers to be enforced in private sector in England

What Cass review says about surge in children seeking gender services

Adult transgender clinics in England face inquiry into patient care

‘Children are being used as a football’: Hilary Cass on her review of gender identity services

Thousands of children unsure of gender identity ‘let down by NHS’, report finds

What are the key findings of the NHS gender identity review?

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