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Before examining types of research designs it is important to be clear about the role and purpose of research design. We need to understand what research design is and what it is not. We need to know where design ®ts into the whole research process from framing a question to ®nally analysing and reporting data. This is the purpose of this chapter.
Dr Sandjon sitio S Seraphin
The research design refers to the overall strategy that we choose to integrate the different components of the study in a coherent and logical way, thereby, ensuring we will effectively address the research problem; it constitutes the blueprint for the collection, measurement, and analysis of data. Note that our research problem determines the type of design we should use, not the other way around!
S. R. Khan Orthy
Adetayo Olorunlana
As the architectural design is to a building so also is research design to all academic enquiry. Most times, it is first conceived by the landlord before involving the architect who also need to research on the land, the texture, space, and the resources available and then give professional advice on the planning. These concepts from the builder are therefore translated into a sketchy plan, then to obtain permits, put forward a work schedule and then order materials. There is no need ordering materials or putting workers at the site until the designs (i.e. architectural, electrical, civil structural drawings) among others of building have presented, reviewed and approved. The design may be an office building, a factory, a school, a residential home. The same process is essential in social sciences, medical sciences, management and legal studies to conceive a research topic, employ high-level sophisticated planning in data generation and analysis, all these processes ought to be incl...
Chirapol Sintunawa
Gerardo Munck
ResearchGate
Joyzy P Egunjobi
Research Method Vs Research Design Students are usually confused about research methods and research designs. These may appear the same, but they are different. Research Methods Research methods can be conceived as various processes, procedures, and tools employed to collect and analyze research data. They are approaches used to execute research plans. A research method is a research paradigm or philosophical framework that research is based. There are three commonest methods in research namely, quantitative, qualitative, and mixed methods. These methods are an umbrella for various research designs. Research Designs Research designs are the overall research structure of a study which help to ensure that the data collected effectively answers the research question(s). Research designs can be Descriptive (e.g., case-study, naturalistic observation, survey), Correlational (e.g., case-control study, observational study), Experimental (e.g., field experiment, controlled experiment, quasiexperiment), Review (literature review, systematic review), and Meta-analytic (meta-analysis) in nature. They can, however, be grouped under research methods. Note that the nature of the research will determine the research method as well as the appropriate research design.
othman hassan juma
Filiberta Montaño Marín
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Research Design 101
Everything You Need To Get Started (With Examples)
By: Derek Jansen (MBA) | Reviewers: Eunice Rautenbach (DTech) & Kerryn Warren (PhD) | April 2023
Navigating the world of research can be daunting, especially if you’re a first-time researcher. One concept you’re bound to run into fairly early in your research journey is that of “ research design ”. Here, we’ll guide you through the basics using practical examples , so that you can approach your research with confidence.
Overview: Research Design 101
What is research design.
- Research design types for quantitative studies
- Video explainer : quantitative research design
- Research design types for qualitative studies
- Video explainer : qualitative research design
- How to choose a research design
- Key takeaways
Research design refers to the overall plan, structure or strategy that guides a research project , from its conception to the final data analysis. A good research design serves as the blueprint for how you, as the researcher, will collect and analyse data while ensuring consistency, reliability and validity throughout your study.
Understanding different types of research designs is essential as helps ensure that your approach is suitable given your research aims, objectives and questions , as well as the resources you have available to you. Without a clear big-picture view of how you’ll design your research, you run the risk of potentially making misaligned choices in terms of your methodology – especially your sampling , data collection and data analysis decisions.
The problem with defining research design…
One of the reasons students struggle with a clear definition of research design is because the term is used very loosely across the internet, and even within academia.
Some sources claim that the three research design types are qualitative, quantitative and mixed methods , which isn’t quite accurate (these just refer to the type of data that you’ll collect and analyse). Other sources state that research design refers to the sum of all your design choices, suggesting it’s more like a research methodology . Others run off on other less common tangents. No wonder there’s confusion!
In this article, we’ll clear up the confusion. We’ll explain the most common research design types for both qualitative and quantitative research projects, whether that is for a full dissertation or thesis, or a smaller research paper or article.
Research Design: Quantitative Studies
Quantitative research involves collecting and analysing data in a numerical form. Broadly speaking, there are four types of quantitative research designs: descriptive , correlational , experimental , and quasi-experimental .
Descriptive Research Design
As the name suggests, descriptive research design focuses on describing existing conditions, behaviours, or characteristics by systematically gathering information without manipulating any variables. In other words, there is no intervention on the researcher’s part – only data collection.
For example, if you’re studying smartphone addiction among adolescents in your community, you could deploy a survey to a sample of teens asking them to rate their agreement with certain statements that relate to smartphone addiction. The collected data would then provide insight regarding how widespread the issue may be – in other words, it would describe the situation.
The key defining attribute of this type of research design is that it purely describes the situation . In other words, descriptive research design does not explore potential relationships between different variables or the causes that may underlie those relationships. Therefore, descriptive research is useful for generating insight into a research problem by describing its characteristics . By doing so, it can provide valuable insights and is often used as a precursor to other research design types.
Correlational Research Design
Correlational design is a popular choice for researchers aiming to identify and measure the relationship between two or more variables without manipulating them . In other words, this type of research design is useful when you want to know whether a change in one thing tends to be accompanied by a change in another thing.
For example, if you wanted to explore the relationship between exercise frequency and overall health, you could use a correlational design to help you achieve this. In this case, you might gather data on participants’ exercise habits, as well as records of their health indicators like blood pressure, heart rate, or body mass index. Thereafter, you’d use a statistical test to assess whether there’s a relationship between the two variables (exercise frequency and health).
As you can see, correlational research design is useful when you want to explore potential relationships between variables that cannot be manipulated or controlled for ethical, practical, or logistical reasons. It is particularly helpful in terms of developing predictions , and given that it doesn’t involve the manipulation of variables, it can be implemented at a large scale more easily than experimental designs (which will look at next).
That said, it’s important to keep in mind that correlational research design has limitations – most notably that it cannot be used to establish causality . In other words, correlation does not equal causation . To establish causality, you’ll need to move into the realm of experimental design, coming up next…
Need a helping hand?
Experimental Research Design
Experimental research design is used to determine if there is a causal relationship between two or more variables . With this type of research design, you, as the researcher, manipulate one variable (the independent variable) while controlling others (dependent variables). Doing so allows you to observe the effect of the former on the latter and draw conclusions about potential causality.
For example, if you wanted to measure if/how different types of fertiliser affect plant growth, you could set up several groups of plants, with each group receiving a different type of fertiliser, as well as one with no fertiliser at all. You could then measure how much each plant group grew (on average) over time and compare the results from the different groups to see which fertiliser was most effective.
Overall, experimental research design provides researchers with a powerful way to identify and measure causal relationships (and the direction of causality) between variables. However, developing a rigorous experimental design can be challenging as it’s not always easy to control all the variables in a study. This often results in smaller sample sizes , which can reduce the statistical power and generalisability of the results.
Moreover, experimental research design requires random assignment . This means that the researcher needs to assign participants to different groups or conditions in a way that each participant has an equal chance of being assigned to any group (note that this is not the same as random sampling ). Doing so helps reduce the potential for bias and confounding variables . This need for random assignment can lead to ethics-related issues . For example, withholding a potentially beneficial medical treatment from a control group may be considered unethical in certain situations.
Quasi-Experimental Research Design
Quasi-experimental research design is used when the research aims involve identifying causal relations , but one cannot (or doesn’t want to) randomly assign participants to different groups (for practical or ethical reasons). Instead, with a quasi-experimental research design, the researcher relies on existing groups or pre-existing conditions to form groups for comparison.
For example, if you were studying the effects of a new teaching method on student achievement in a particular school district, you may be unable to randomly assign students to either group and instead have to choose classes or schools that already use different teaching methods. This way, you still achieve separate groups, without having to assign participants to specific groups yourself.
Naturally, quasi-experimental research designs have limitations when compared to experimental designs. Given that participant assignment is not random, it’s more difficult to confidently establish causality between variables, and, as a researcher, you have less control over other variables that may impact findings.
All that said, quasi-experimental designs can still be valuable in research contexts where random assignment is not possible and can often be undertaken on a much larger scale than experimental research, thus increasing the statistical power of the results. What’s important is that you, as the researcher, understand the limitations of the design and conduct your quasi-experiment as rigorously as possible, paying careful attention to any potential confounding variables .
Research Design: Qualitative Studies
There are many different research design types when it comes to qualitative studies, but here we’ll narrow our focus to explore the “Big 4”. Specifically, we’ll look at phenomenological design, grounded theory design, ethnographic design, and case study design.
Phenomenological Research Design
Phenomenological design involves exploring the meaning of lived experiences and how they are perceived by individuals. This type of research design seeks to understand people’s perspectives , emotions, and behaviours in specific situations. Here, the aim for researchers is to uncover the essence of human experience without making any assumptions or imposing preconceived ideas on their subjects.
For example, you could adopt a phenomenological design to study why cancer survivors have such varied perceptions of their lives after overcoming their disease. This could be achieved by interviewing survivors and then analysing the data using a qualitative analysis method such as thematic analysis to identify commonalities and differences.
Phenomenological research design typically involves in-depth interviews or open-ended questionnaires to collect rich, detailed data about participants’ subjective experiences. This richness is one of the key strengths of phenomenological research design but, naturally, it also has limitations. These include potential biases in data collection and interpretation and the lack of generalisability of findings to broader populations.
Grounded Theory Research Design
Grounded theory (also referred to as “GT”) aims to develop theories by continuously and iteratively analysing and comparing data collected from a relatively large number of participants in a study. It takes an inductive (bottom-up) approach, with a focus on letting the data “speak for itself”, without being influenced by preexisting theories or the researcher’s preconceptions.
As an example, let’s assume your research aims involved understanding how people cope with chronic pain from a specific medical condition, with a view to developing a theory around this. In this case, grounded theory design would allow you to explore this concept thoroughly without preconceptions about what coping mechanisms might exist. You may find that some patients prefer cognitive-behavioural therapy (CBT) while others prefer to rely on herbal remedies. Based on multiple, iterative rounds of analysis, you could then develop a theory in this regard, derived directly from the data (as opposed to other preexisting theories and models).
Grounded theory typically involves collecting data through interviews or observations and then analysing it to identify patterns and themes that emerge from the data. These emerging ideas are then validated by collecting more data until a saturation point is reached (i.e., no new information can be squeezed from the data). From that base, a theory can then be developed .
As you can see, grounded theory is ideally suited to studies where the research aims involve theory generation , especially in under-researched areas. Keep in mind though that this type of research design can be quite time-intensive , given the need for multiple rounds of data collection and analysis.
Ethnographic Research Design
Ethnographic design involves observing and studying a culture-sharing group of people in their natural setting to gain insight into their behaviours, beliefs, and values. The focus here is on observing participants in their natural environment (as opposed to a controlled environment). This typically involves the researcher spending an extended period of time with the participants in their environment, carefully observing and taking field notes .
All of this is not to say that ethnographic research design relies purely on observation. On the contrary, this design typically also involves in-depth interviews to explore participants’ views, beliefs, etc. However, unobtrusive observation is a core component of the ethnographic approach.
As an example, an ethnographer may study how different communities celebrate traditional festivals or how individuals from different generations interact with technology differently. This may involve a lengthy period of observation, combined with in-depth interviews to further explore specific areas of interest that emerge as a result of the observations that the researcher has made.
As you can probably imagine, ethnographic research design has the ability to provide rich, contextually embedded insights into the socio-cultural dynamics of human behaviour within a natural, uncontrived setting. Naturally, however, it does come with its own set of challenges, including researcher bias (since the researcher can become quite immersed in the group), participant confidentiality and, predictably, ethical complexities . All of these need to be carefully managed if you choose to adopt this type of research design.
Case Study Design
With case study research design, you, as the researcher, investigate a single individual (or a single group of individuals) to gain an in-depth understanding of their experiences, behaviours or outcomes. Unlike other research designs that are aimed at larger sample sizes, case studies offer a deep dive into the specific circumstances surrounding a person, group of people, event or phenomenon, generally within a bounded setting or context .
As an example, a case study design could be used to explore the factors influencing the success of a specific small business. This would involve diving deeply into the organisation to explore and understand what makes it tick – from marketing to HR to finance. In terms of data collection, this could include interviews with staff and management, review of policy documents and financial statements, surveying customers, etc.
While the above example is focused squarely on one organisation, it’s worth noting that case study research designs can have different variation s, including single-case, multiple-case and longitudinal designs. As you can see in the example, a single-case design involves intensely examining a single entity to understand its unique characteristics and complexities. Conversely, in a multiple-case design , multiple cases are compared and contrasted to identify patterns and commonalities. Lastly, in a longitudinal case design , a single case or multiple cases are studied over an extended period of time to understand how factors develop over time.
As you can see, a case study research design is particularly useful where a deep and contextualised understanding of a specific phenomenon or issue is desired. However, this strength is also its weakness. In other words, you can’t generalise the findings from a case study to the broader population. So, keep this in mind if you’re considering going the case study route.
How To Choose A Research Design
Having worked through all of these potential research designs, you’d be forgiven for feeling a little overwhelmed and wondering, “ But how do I decide which research design to use? ”. While we could write an entire post covering that alone, here are a few factors to consider that will help you choose a suitable research design for your study.
Data type: The first determining factor is naturally the type of data you plan to be collecting – i.e., qualitative or quantitative. This may sound obvious, but we have to be clear about this – don’t try to use a quantitative research design on qualitative data (or vice versa)!
Research aim(s) and question(s): As with all methodological decisions, your research aim and research questions will heavily influence your research design. For example, if your research aims involve developing a theory from qualitative data, grounded theory would be a strong option. Similarly, if your research aims involve identifying and measuring relationships between variables, one of the experimental designs would likely be a better option.
Time: It’s essential that you consider any time constraints you have, as this will impact the type of research design you can choose. For example, if you’ve only got a month to complete your project, a lengthy design such as ethnography wouldn’t be a good fit.
Resources: Take into account the resources realistically available to you, as these need to factor into your research design choice. For example, if you require highly specialised lab equipment to execute an experimental design, you need to be sure that you’ll have access to that before you make a decision.
Keep in mind that when it comes to research, it’s important to manage your risks and play as conservatively as possible. If your entire project relies on you achieving a huge sample, having access to niche equipment or holding interviews with very difficult-to-reach participants, you’re creating risks that could kill your project. So, be sure to think through your choices carefully and make sure that you have backup plans for any existential risks. Remember that a relatively simple methodology executed well generally will typically earn better marks than a highly-complex methodology executed poorly.
Recap: Key Takeaways
We’ve covered a lot of ground here. Let’s recap by looking at the key takeaways:
- Research design refers to the overall plan, structure or strategy that guides a research project, from its conception to the final analysis of data.
- Research designs for quantitative studies include descriptive , correlational , experimental and quasi-experimenta l designs.
- Research designs for qualitative studies include phenomenological , grounded theory , ethnographic and case study designs.
- When choosing a research design, you need to consider a variety of factors, including the type of data you’ll be working with, your research aims and questions, your time and the resources available to you.
If you need a helping hand with your research design (or any other aspect of your research), check out our private coaching services .
Psst... there’s more!
This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...
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10 Comments
Is there any blog article explaining more on Case study research design? Is there a Case study write-up template? Thank you.
Thanks this was quite valuable to clarify such an important concept.
Thanks for this simplified explanations. it is quite very helpful.
This was really helpful. thanks
Thank you for your explanation. I think case study research design and the use of secondary data in researches needs to be talked about more in your videos and articles because there a lot of case studies research design tailored projects out there.
Please is there any template for a case study research design whose data type is a secondary data on your repository?
This post is very clear, comprehensive and has been very helpful to me. It has cleared the confusion I had in regard to research design and methodology.
This post is helpful, easy to understand, and deconstructs what a research design is. Thanks
how to cite this page
Thank you very much for the post. It is wonderful and has cleared many worries in my mind regarding research designs. I really appreciate .
how can I put this blog as my reference(APA style) in bibliography part?
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Research Methods & Design Outline
Jan 24, 2012
550 likes | 2.62k Views
Research Methods & Design Outline. Types of research design How to choose a research design Issues in research design. Types of Research Design. Correlational Field (survey) Experimental Qualitative Meta-analysis. Types of Research Design. Correlational Study
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- archival biological trace objective
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Presentation Transcript
Research Methods & Design Outline Types of research design How to choose a research design Issues in research design
Types of Research Design • Correlational • Field (survey) • Experimental • Qualitative • Meta-analysis
Types of Research Design • Correlational Study • Explores or tests relations between variables • “Rules out” alternative variables that could play a role in relations between variables • Field • Studies participants in their natural setting • Maximizes realism Sekaran, Saks
Types of Research Design • Experimental Designs • Directly establishes cause-effect nature of relationship between variables • Decreases ambiguity • Laboratory vs. Field Experiment • Artificial setting with high control over variables
Types of Research Design • Experimental Designs • Establish cause via • Manipulation of cause (aka treatment) • Temporal precedence of cause (and no other factor) before effect • Control of all other extraneous factors
Experimental Research Design Example
Types of Research Design • Qualitative • Non-quantitative • Not necessarily informal data collection (cf. Saks) • Examples • Interview/focus group transcripts • Some kinds of observational/archival data • Critical incidents methodology • Helps in • Formulating hypotheses • Deeper/richer understanding of phenomena • Interpret organization-specific results
Types of Research Design • Meta Analysis • Statistically combines results of existing research to estimate overall size of relation between variables • Helps in • Developing theory • Identifying research needs, • Establishing validity/effectiveness of HR tools • Can replace large-scale research studies • Better than literature reviews
Types of Research Design Examples • Identify the type of research design for each study description in Aamodt Exercise 1-1 (handout)
Guns & Crime Article Types of Research Design Examples • What are the two hypotheses re: the relation between gun ownership and crime? • What are different ways to measure gun ownership? • Identify the experimental and correlational methods used to test the hypotheses
Types of Research Design • Types of research design • How to choose a research design • Issues in research design
How to Choose a Research Design • Does it adequately test the hypothesis? • Does it identify & control extraneous factors? • Are results generalizable? • Can the hypothesis be rejected or retained via statistical means? • Is the design efficient in using available resources?
How to Choose a Research Design • Does it adequately test the hypotheses? • Hypotheses determine participants, variables measured & data analysis methods • Example hypotheses tested in student projects • Discussion of Requirements of proposal
How to Choose a Research Design • Does it identify and control extraneous factors? • Eliminate alternative explanations for results to increase confidence in cause-effect conclusion (internal validity) • Control depends on type of design • Correlational design has less control • Extraneous variables are measured and effects are statistically controlled
Controlling Extraneous Variables in Experimental Designs • Random Assignment • Distributing extraneous variable across groups randomly • Matching Groups • Spreading the extraneous variable across groups via systematic assignment • Less effective than random assignment (p.148 Sekaran) • Control Group • Group that receives no manipulation
How to Choose a Research Design • Are results generalizable? • Replicate to other samples and other contexts • Random selection of participants • Features of field experiments enhancing external validity • Realistic nature of setting and/or task • Manipulation of treatment • Use of control group • Nature of samples used • Lack of control over confounding variables due to non-random assignment or inability for matching
How to Choose a Research Design • Can the hypothesis be rejected or retained via statistical means? (statistical conclusion validity) • Need reliable measures • Need large enough sample to detect true effect & avoid Type 1 & 2 errors (see over) • What is a null hypothesis? • No effect proposed • What is an alternative hypothesis? • What is a directional hypothesis?
Types of Decisions based on Statistics
How to Choose a Research Design • Is the design efficient in using available resources? • Optimal balance between research design, time, resources and researcher expertise
Issues in Research Design Research context Nature & size of sample Data sources
Issues in Research Design Research Context One or several organizational contexts Laboratory vs. field setting– depends on Goal of establishing nature of phenomenon (or process) that exists in most contexts Generalizability of results Control required of extraneous/nuisance variables
Issues in Research Design Nature of sample Random vs. stratified Convenience sample Student vs. field based sample Size of sample determines Generalizability of results Ability to detect a true effect
Issues in Research Design Data Sources: Self report Common method variance Similar response format Consistency bias of participants Unreliability of measures Social desirability Alternative methods to questionnaire (e.g., interviews, behavioral, archival) Multiple times of data collection Alternative sources (e.g., supervisor, peer) Measure of individual’s susceptibility to social desirability
Issues in Research Design Data Sources: Self report Response shift bias Alpha =real (condition) change Beta = change in frame of reference (change in standards) Cross cultural difference in uses of ends vs. middle of response scale Gamma=change in meaning of construct/variable Cross cultural differences in meaning of term
Issues in Research Design Data Sources: Alternatives Co-workers (e.g., subordinates, supervisors, peers) Archival Biological Trace Objective term
Research Methods & Design OutlineRECAP Types of research design How to choose a research design Issues in research design
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Types of research design - PowerPoint PPT Presentation
Types of research design
Types of research design experiments chapter 8 in babbie & mouton (2001) introduction to all research designs all research designs have specific objectives they ... – powerpoint ppt presentation.
- Chapter 8 in Babbie Mouton (2001)
- Introduction to all research designs
- All research designs have specific objectives they strive for
- Have different strengths and limitations
- Have validity considerations
- When we say that a knowledge claim (or proposition) is valid, we make a JUDGEMENT about the extent to which relevant evidence supports that claim to be true
- Is the interpretation of the evidence given the only possible one, or are there other plausible ones?
- "Plausible rival hypotheses" potential alternative explanations/claims
- e.g. New York City's "zero tolerance" crime fighting strategy in the 1980s and 1990s - the reverse of the "broken windows" effect
- Explanatory rather than descriptive
- Different from correlational research - one variable is manipulated (IV) and the effect of that manipulation observed on a second variable (DV)
- "Animals respond aggressively to crowding" (causal)
- "People with premarital sexual experience have more stable marriages" (noncausal)
- Independent and dependent variables
- Pre-testing and post-testing
- Experimental and control groups
- Dependent (DV)
- Independent (IV)
- To off-set the effects of the experiment itself to detect effects of the experiment itself
- The IV is an active variable it is manipulated
- The participants who receive one level of the IV are equivalent in all ways to those who receive other levels of the IV
- 1. Selecting subjects to participate in the research
- Careful sampling to ensure that results can be generalized from sample to population
- The relationship found might only exist in the sample need to ensure that it exists in the population
- Probability sampling techniques
- 2. How the sample is divided into two or more groups is important
- to make the groups similar when they start off
- randomization - equal chance
- matching - similar to quota sampling procedures
- match the groups in terms of the most relevant variables e.g. age, sex, and race
- One-shot case study
- No real comparison
- Milgram's study on obedience
- Obedience to authority
- The willingness of subjects to follow E's orders to give painful electrical shocks to another subject
- A real, important issue here how could "ordinary" citizens, like many Germans during the Nazi period, do these incredibly cruel and brutal things?
- If a person is under allegiance to a legitimate authority, under what conditions will the person defy the authority if s/he is asked to carry out actions clearly incompatible with basic moral standards?
- We want to find out whether a family literacy programme enhances the cognitive development of preschool-age children.
- Find 20 families with a 4-year old child, enrol the family in a high-quality family literacy programme
- Administer a pretest to the 20 children - they score a mean of say 50 on the cognitive test
- The family participates in the programme for twelve months
- Administer a post-test to the 20 children now they score 75 on the test - a gain of 25
- 1 The children gained 25 points on average in terms of their cognitive performance
- 2 the family literacy programme caused the gain in scores
- VALIDITY - rival explanations
- We know the structure of research
- We understand designs
- We know the requirements of "good" research
- Then we can evaluate a study
- Is it good? Can we believe its conclusions?
- Back to plausible rival hypotheses
- If the design is not valid, then the conclusions drawn are not supported it is like not doing research at all
- Validity of designs come in two parts
- Internal validity
- can the design sustain the conclusions?
- External validity
- can the conclusions be generalized to the population?
- Each design is only capable of supporting certain types of conclusions
- e.g. only experiments can support conclusions about causality
- Says nothing about if the results can be applied to the real world (generalization)
- Generally, the more controlled the situation, the higher the internal validity
- The conclusions drawn from experimental results may not accurately reflect hat has gone on in the experiment itself
- These sources often discussed as part of experiments, but can be applied to all designs (e.g. see reactivity)
- Historical events may occur that will be confounded with the IV
- Especially in field research (compare the control in a laboratory, e.g. nonsense syllables in memory studies
- Changes over time can be caused by a natural learning process
- People naturally grow older, tired, bored, over time
- People realize they are being studied, and respond the way they think is appropriate
- The very act of studying something may change it
- In qualitative research, the "on stage" effects
- Improved performance because of the researcher's presence - people became aware that they were in an experiment, or that they were given special treatment
- Especially for people who lack social contacts, e.g. residents of nursing homes, chronic mental patients
- When a person expects a treatment or experience to change her/him, the person changes, even when the "treatment" is know to be inert or ineffective
- Medical research
- "The bedside manner", or the power of suggestion
- Pygmalion effect - self-fulfilling prophecies of e.g. teachers' expectancies about student achievement
- Experimenters may prejudge their results - experimenter bias
- Double blind experiments
- Both the researcher and the research participant are "blind" to the purpose of the study.
- They don't know what treatment the participant is getting
- Instruments with low reliability lead to inaccurate findings/missing phenomena
- e.g. human observers become more skilled over time (from pretest to posttest) and so report more accurate scores at later time points
- Studying extreme scores can lead to inflated differences, which would not occur in moderate scorers
- Selection subjects for the study, and assigning them to E-group and C-group
- Look out for studies using volunteers
- Sometimes called experimental (or subject) mortality
- If subjects drop out, it creates a bias to those who did not
- e.g. comparing the effectiveness of family therapy with discussion groups for treatment of drug addiction
- addicts with the worst prognosis more likely to drop out of the discussion group
- will make it look like family therapy does less well than discussion groups, because the "worst cases" were still in the family therapy group
- When subject can communicate to each other, pass on some information about the treatment (IV)
- In real life, people may feel sorry for C-group who does not get "the treatment" - try to give them something extra
- e.g. compare usual day care for street children with an enhanced day treatment condition
- service providers may very well complain about inequity, and provide some enhanced service to the children receiving usual care
- C-group may "work harder" to compete better with the E-group
- Opposite to compensatory rivalry
- May feel deprived, and give up
- e.g. giving unemployed high school dropouts a second chance at completing matric via a special education programme
- if we assign some of them to a control group, who receive "no treatment", they may very well become profoundly demoralized
- Can the findings of the study be generalized?
- Do they speak only of our sample, or of a wider group?
- To what populations, settings, treatment variables (IV's), and measurement variables can the finding be generalized?
- Mainly questions about three aspects
- Research participants
- Independent variables, or manipulations
- Dependent variables, or outcomes
- Says nothing about the truth of the result that we are generalizing
- External validity only has meaning once the internal validity of a study has been established
- Internal validity is the basic minimum without which an experiment is uninterpretable
- Our interest in answering research questions is rarely restricted to the specific situation studied - our interest is in the variables, not the specific details of a piece of research
- But studies differ in many ways, even if they study the same variables
- operational definitions of the variables
- subject population studied
- procedural details
- Generally bigger samples with valid measures lead to better external validity
- Subject selection - Selecting a sample which does not represent the population well, will prevent generalization
- Interaction between the testing situation and the experimental stimulus
- When people have been sensitized to the issues by the pre-test
- Respond differently to the questionnaires the second time (post-test)
- Operationalization
- We take a variable with wide scope and operationalize it in a narrow fashion
- Will we find the same results with a different operationalization of the same variable?
- "natural" - e.g. disaster research
- Static-group comparison type
- Non-equivalent experimental and control groups
- Manipulating the IV
- Sorting out extraneous variables
- Articifiality - a generalization problem
- Limited range of questions
- Donald Campbell often cited Neurath's metaphor
- "in science we are like sailors who must repair a rotting ship while it is afloat at sea. We depend on the relative soundness of all other planks while we replace a particularly weak one. Each of the planks we now depend on we will in turn have to replace. No one of them is a foundation, nor point of certainty, no one of them is incorrigible"
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RESEARCH DESIGN.
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Research Methodology For reader assistance, have an introductory paragraph in which attention is given to the organization of the section in relation to.
Stratification (Blocking) Grouping similar experimental units together and assigning different treatments within such groups of experimental units A technique.
Experimental Design The term experimental design refers to a plan for assigning subjects to experimental conditions and the statistical analysis associated.
RESEARCH PROBLEM.
Understanding the Research Process
Chapter 28 Design of Experiments (DOE). Objectives Define basic design of experiments (DOE) terminology. Apply DOE principles. Plan, organize, and evaluate.
Chapter 2 Understanding the Research Process
Data and Data Collection Quantitative – Numbers, tests, counting, measuring Fundamentally--2 types of data Qualitative – Words, images, observations, conversations,
Fig Theory construction. A good theory will generate a host of testable hypotheses. In a typical study, only one or a few of these hypotheses can.
Magister of Electrical Engineering Udayana University September 2011
Chapter 1: Introduction to Statistics
Research Problem.
RESEARCH A systematic quest for undiscovered truth A way of thinking
The Research Enterprise in Psychology. The Scientific Method: Terminology Operational definitions are used to clarify precisely what is meant by each.
Understanding Variability Unraveling the Mystery of the Data’s Message Becoming a “Data Whisperer”
1 Research Methodology Model. 2 Hypothesis a prediction of what is the case (fact) based on theory Conclusions Observation (s): Phenomena; Problem (Tree)
The Scientific Method Formulation of an H ypothesis P lanning an experiment to objectively test the hypothesis Careful observation and collection of D.
Understanding Hypothesis- your prediction Experimental Hypothesis- there will be a difference and here is what I think it will be and why (based on previous.
Psychology 290 Lab #2 Sept. 26 – 28 Types & Parts of Articles Operational Definition Variables Reliability & Validity.
About project
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Organizing Academic Research Papers: Types of Research Designs
- Purpose of Guide
- Design Flaws to Avoid
- Glossary of Research Terms
- Narrowing a Topic Idea
- Broadening a Topic Idea
- Extending the Timeliness of a Topic Idea
- Academic Writing Style
- Choosing a Title
- Making an Outline
- Paragraph Development
- Executive Summary
- Background Information
- The Research Problem/Question
- Theoretical Framework
- Citation Tracking
- Content Alert Services
- Evaluating Sources
- Primary Sources
- Secondary Sources
- Tertiary Sources
- What Is Scholarly vs. Popular?
- Qualitative Methods
- Quantitative Methods
- Using Non-Textual Elements
- Limitations of the Study
- Common Grammar Mistakes
- Avoiding Plagiarism
- Footnotes or Endnotes?
- Further Readings
- Annotated Bibliography
- Dealing with Nervousness
- Using Visual Aids
- Grading Someone Else's Paper
- How to Manage Group Projects
- Multiple Book Review Essay
- Reviewing Collected Essays
- About Informed Consent
- Writing Field Notes
- Writing a Policy Memo
- Writing a Research Proposal
- Acknowledgements
Introduction
Before beginning your paper, you need to decide how you plan to design the study .
The research design refers to the overall strategy that you choose to integrate the different components of the study in a coherent and logical way, thereby, ensuring you will effectively address the research problem; it constitutes the blueprint for the collection, measurement, and analysis of data. Note that your research problem determines the type of design you can use, not the other way around!
General Structure and Writing Style
Action research design, case study design, causal design, cohort design, cross-sectional design, descriptive design, experimental design, exploratory design, historical design, longitudinal design, observational design, philosophical design, sequential design.
Kirshenblatt-Gimblett, Barbara. Part 1, What Is Research Design? The Context of Design. Performance Studies Methods Course syllabus . New York University, Spring 2006; Trochim, William M.K. Research Methods Knowledge Base . 2006.
The function of a research design is to ensure that the evidence obtained enables you to effectively address the research problem as unambiguously as possible. In social sciences research, obtaining evidence relevant to the research problem generally entails specifying the type of evidence needed to test a theory, to evaluate a program, or to accurately describe a phenomenon. However, researchers can often begin their investigations far too early, before they have thought critically about about what information is required to answer the study's research questions. Without attending to these design issues beforehand, the conclusions drawn risk being weak and unconvincing and, consequently, will fail to adequate address the overall research problem.
Given this, the length and complexity of research designs can vary considerably, but any sound design will do the following things:
- Identify the research problem clearly and justify its selection,
- Review previously published literature associated with the problem area,
- Clearly and explicitly specify hypotheses [i.e., research questions] central to the problem selected,
- Effectively describe the data which will be necessary for an adequate test of the hypotheses and explain how such data will be obtained, and
- Describe the methods of analysis which will be applied to the data in determining whether or not the hypotheses are true or false.
Kirshenblatt-Gimblett, Barbara. Part 1, What Is Research Design? The Context of Design. Performance Studies Methods Course syllabus . New Yortk University, Spring 2006.
Definition and Purpose
The essentials of action research design follow a characteristic cycle whereby initially an exploratory stance is adopted, where an understanding of a problem is developed and plans are made for some form of interventionary strategy. Then the intervention is carried out (the action in Action Research) during which time, pertinent observations are collected in various forms. The new interventional strategies are carried out, and the cyclic process repeats, continuing until a sufficient understanding of (or implement able solution for) the problem is achieved. The protocol is iterative or cyclical in nature and is intended to foster deeper understanding of a given situation, starting with conceptualizing and particularizing the problem and moving through several interventions and evaluations.
What do these studies tell you?
- A collaborative and adaptive research design that lends itself to use in work or community situations.
- Design focuses on pragmatic and solution-driven research rather than testing theories.
- When practitioners use action research it has the potential to increase the amount they learn consciously from their experience. The action research cycle can also be regarded as a learning cycle.
- Action search studies often have direct and obvious relevance to practice.
- There are no hidden controls or preemption of direction by the researcher.
What these studies don't tell you?
- It is harder to do than conducting conventional studies because the researcher takes on responsibilities for encouraging change as well as for research.
- Action research is much harder to write up because you probably can’t use a standard format to report your findings effectively.
- Personal over-involvement of the researcher may bias research results.
- The cyclic nature of action research to achieve its twin outcomes of action (e.g. change) and research (e.g. understanding) is time-consuming and complex to conduct.
Gall, Meredith. Educational Research: An Introduction . Chapter 18, Action Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Kemmis, Stephen and Robin McTaggart. “Participatory Action Research.” In Handbook of Qualitative Research . Norman Denzin and Yvonna S. Locoln, eds. 2nd ed. (Thousand Oaks, CA: SAGE, 2000), pp. 567-605.; Reason, Peter and Hilary Bradbury. Handbook of Action Research: Participative Inquiry and Practice . Thousand Oaks, CA: SAGE, 2001.
A case study is an in-depth study of a particular research problem rather than a sweeping statistical survey. It is often used to narrow down a very broad field of research into one or a few easily researchable examples. The case study research design is also useful for testing whether a specific theory and model actually applies to phenomena in the real world. It is a useful design when not much is known about a phenomenon.
- Approach excels at bringing us to an understanding of a complex issue through detailed contextual analysis of a limited number of events or conditions and their relationships.
- A researcher using a case study design can apply a vaiety of methodologies and rely on a variety of sources to investigate a research problem.
- Design can extend experience or add strength to what is already known through previous research.
- Social scientists, in particular, make wide use of this research design to examine contemporary real-life situations and provide the basis for the application of concepts and theories and extension of methods.
- The design can provide detailed descriptions of specific and rare cases.
- A single or small number of cases offers little basis for establishing reliability or to generalize the findings to a wider population of people, places, or things.
- The intense exposure to study of the case may bias a researcher's interpretation of the findings.
- Design does not facilitate assessment of cause and effect relationships.
- Vital information may be missing, making the case hard to interpret.
- The case may not be representative or typical of the larger problem being investigated.
- If the criteria for selecting a case is because it represents a very unusual or unique phenomenon or problem for study, then your intepretation of the findings can only apply to that particular case.
Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 4, Flexible Methods: Case Study Design. 2nd ed. New York: Columbia University Press, 1999; Stake, Robert E. The Art of Case Study Research . Thousand Oaks, CA: SAGE, 1995; Yin, Robert K. Case Study Research: Design and Theory . Applied Social Research Methods Series, no. 5. 3rd ed. Thousand Oaks, CA: SAGE, 2003.
Causality studies may be thought of as understanding a phenomenon in terms of conditional statements in the form, “If X, then Y.” This type of research is used to measure what impact a specific change will have on existing norms and assumptions. Most social scientists seek causal explanations that reflect tests of hypotheses. Causal effect (nomothetic perspective) occurs when variation in one phenomenon, an independent variable, leads to or results, on average, in variation in another phenomenon, the dependent variable.
Conditions necessary for determining causality:
- Empirical association--a valid conclusion is based on finding an association between the independent variable and the dependent variable.
- Appropriate time order--to conclude that causation was involved, one must see that cases were exposed to variation in the independent variable before variation in the dependent variable.
- Nonspuriousness--a relationship between two variables that is not due to variation in a third variable.
- Causality research designs helps researchers understand why the world works the way it does through the process of proving a causal link between variables and eliminating other possibilities.
- Replication is possible.
- There is greater confidence the study has internal validity due to the systematic subject selection and equity of groups being compared.
- Not all relationships are casual! The possibility always exists that, by sheer coincidence, two unrelated events appear to be related [e.g., Punxatawney Phil could accurately predict the duration of Winter for five consecutive years but, the fact remains, he's just a big, furry rodent].
- Conclusions about causal relationships are difficult to determine due to a variety of extraneous and confounding variables that exist in a social environment. This means causality can only be inferred, never proven.
- If two variables are correlated, the cause must come before the effect. However, even though two variables might be causally related, it can sometimes be difficult to determine which variable comes first and therefore to establish which variable is the actual cause and which is the actual effect.
Bachman, Ronet. The Practice of Research in Criminology and Criminal Justice . Chapter 5, Causation and Research Designs. 3rd ed. Thousand Oaks, CA: Pine Forge Press, 2007; Causal Research Design: Experimentation. Anonymous SlideShare Presentation ; Gall, Meredith. Educational Research: An Introduction . Chapter 11, Nonexperimental Research: Correlational Designs. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Trochim, William M.K. Research Methods Knowledge Base . 2006.
Often used in the medical sciences, but also found in the applied social sciences, a cohort study generally refers to a study conducted over a period of time involving members of a population which the subject or representative member comes from, and who are united by some commonality or similarity. Using a quantitative framework, a cohort study makes note of statistical occurrence within a specialized subgroup, united by same or similar characteristics that are relevant to the research problem being investigated, r ather than studying statistical occurrence within the general population. Using a qualitative framework, cohort studies generally gather data using methods of observation. Cohorts can be either "open" or "closed."
- Open Cohort Studies [dynamic populations, such as the population of Los Angeles] involve a population that is defined just by the state of being a part of the study in question (and being monitored for the outcome). Date of entry and exit from the study is individually defined, therefore, the size of the study population is not constant. In open cohort studies, researchers can only calculate rate based data, such as, incidence rates and variants thereof.
- Closed Cohort Studies [static populations, such as patients entered into a clinical trial] involve participants who enter into the study at one defining point in time and where it is presumed that no new participants can enter the cohort. Given this, the number of study participants remains constant (or can only decrease).
- The use of cohorts is often mandatory because a randomized control study may be unethical. For example, you cannot deliberately expose people to asbestos, you can only study its effects on those who have already been exposed. Research that measures risk factors often relies on cohort designs.
- Because cohort studies measure potential causes before the outcome has occurred, they can demonstrate that these “causes” preceded the outcome, thereby avoiding the debate as to which is the cause and which is the effect.
- Cohort analysis is highly flexible and can provide insight into effects over time and related to a variety of different types of changes [e.g., social, cultural, political, economic, etc.].
- Either original data or secondary data can be used in this design.
- In cases where a comparative analysis of two cohorts is made [e.g., studying the effects of one group exposed to asbestos and one that has not], a researcher cannot control for all other factors that might differ between the two groups. These factors are known as confounding variables.
- Cohort studies can end up taking a long time to complete if the researcher must wait for the conditions of interest to develop within the group. This also increases the chance that key variables change during the course of the study, potentially impacting the validity of the findings.
- Because of the lack of randominization in the cohort design, its external validity is lower than that of study designs where the researcher randomly assigns participants.
Healy P, Devane D. “Methodological Considerations in Cohort Study Designs.” Nurse Researcher 18 (2011): 32-36; Levin, Kate Ann. Study Design IV: Cohort Studies. Evidence-Based Dentistry 7 (2003): 51–52; Study Design 101 . Himmelfarb Health Sciences Library. George Washington University, November 2011; Cohort Study . Wikipedia.
Cross-sectional research designs have three distinctive features: no time dimension, a reliance on existing differences rather than change following intervention; and, groups are selected based on existing differences rather than random allocation. The cross-sectional design can only measure diffrerences between or from among a variety of people, subjects, or phenomena rather than change. As such, researchers using this design can only employ a relative passive approach to making causal inferences based on findings.
- Cross-sectional studies provide a 'snapshot' of the outcome and the characteristics associated with it, at a specific point in time.
- Unlike the experimental design where there is an active intervention by the researcher to produce and measure change or to create differences, cross-sectional designs focus on studying and drawing inferences from existing differences between people, subjects, or phenomena.
- Entails collecting data at and concerning one point in time. While longitudinal studies involve taking multiple measures over an extended period of time, cross-sectional research is focused on finding relationships between variables at one moment in time.
- Groups identified for study are purposely selected based upon existing differences in the sample rather than seeking random sampling.
- Cross-section studies are capable of using data from a large number of subjects and, unlike observational studies, is not geographically bound.
- Can estimate prevalence of an outcome of interest because the sample is usually taken from the whole population.
- Because cross-sectional designs generally use survey techniques to gather data, they are relatively inexpensive and take up little time to conduct.
- Finding people, subjects, or phenomena to study that are very similar except in one specific variable can be difficult.
- Results are static and time bound and, therefore, give no indication of a sequence of events or reveal historical contexts.
- Studies cannot be utilized to establish cause and effect relationships.
- Provide only a snapshot of analysis so there is always the possibility that a study could have differing results if another time-frame had been chosen.
- There is no follow up to the findings.
Hall, John. “Cross-Sectional Survey Design.” In Encyclopedia of Survey Research Methods. Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 173-174; Helen Barratt, Maria Kirwan. Cross-Sectional Studies: Design, Application, Strengths and Weaknesses of Cross-Sectional Studies . Healthknowledge, 2009. Cross-Sectional Study . Wikipedia.
Descriptive research designs help provide answers to the questions of who, what, when, where, and how associated with a particular research problem; a descriptive study cannot conclusively ascertain answers to why. Descriptive research is used to obtain information concerning the current status of the phenomena and to describe "what exists" with respect to variables or conditions in a situation.
- The subject is being observed in a completely natural and unchanged natural environment. True experiments, whilst giving analyzable data, often adversely influence the normal behavior of the subject.
- Descriptive research is often used as a pre-cursor to more quantitatively research designs, the general overview giving some valuable pointers as to what variables are worth testing quantitatively.
- If the limitations are understood, they can be a useful tool in developing a more focused study.
- Descriptive studies can yield rich data that lead to important recommendations.
- Appoach collects a large amount of data for detailed analysis.
- The results from a descriptive research can not be used to discover a definitive answer or to disprove a hypothesis.
- Because descriptive designs often utilize observational methods [as opposed to quantitative methods], the results cannot be replicated.
- The descriptive function of research is heavily dependent on instrumentation for measurement and observation.
Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 5, Flexible Methods: Descriptive Research. 2nd ed. New York: Columbia University Press, 1999; McNabb, Connie. Descriptive Research Methodologies . Powerpoint Presentation; Shuttleworth, Martyn. Descriptive Research Design , September 26, 2008. Explorable.com website.
A blueprint of the procedure that enables the researcher to maintain control over all factors that may affect the result of an experiment. In doing this, the researcher attempts to determine or predict what may occur. Experimental Research is often used where there is time priority in a causal relationship (cause precedes effect), there is consistency in a causal relationship (a cause will always lead to the same effect), and the magnitude of the correlation is great. The classic experimental design specifies an experimental group and a control group. The independent variable is administered to the experimental group and not to the control group, and both groups are measured on the same dependent variable. Subsequent experimental designs have used more groups and more measurements over longer periods. True experiments must have control, randomization, and manipulation.
- Experimental research allows the researcher to control the situation. In so doing, it allows researchers to answer the question, “what causes something to occur?”
- Permits the researcher to identify cause and effect relationships between variables and to distinguish placebo effects from treatment effects.
- Experimental research designs support the ability to limit alternative explanations and to infer direct causal relationships in the study.
- Approach provides the highest level of evidence for single studies.
- The design is artificial, and results may not generalize well to the real world.
- The artificial settings of experiments may alter subject behaviors or responses.
- Experimental designs can be costly if special equipment or facilities are needed.
- Some research problems cannot be studied using an experiment because of ethical or technical reasons.
- Difficult to apply ethnographic and other qualitative methods to experimental designed research studies.
Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 7, Flexible Methods: Experimental Research. 2nd ed. New York: Columbia University Press, 1999; Chapter 2: Research Design, Experimental Designs . School of Psychology, University of New England, 2000; Experimental Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Trochim, William M.K. Experimental Design . Research Methods Knowledge Base. 2006; Rasool, Shafqat. Experimental Research . Slideshare presentation.
An exploratory design is conducted about a research problem when there are few or no earlier studies to refer to. The focus is on gaining insights and familiarity for later investigation or undertaken when problems are in a preliminary stage of investigation.
The goals of exploratory research are intended to produce the following possible insights:
- Familiarity with basic details, settings and concerns.
- Well grounded picture of the situation being developed.
- Generation of new ideas and assumption, development of tentative theories or hypotheses.
- Determination about whether a study is feasible in the future.
- Issues get refined for more systematic investigation and formulation of new research questions.
- Direction for future research and techniques get developed.
- Design is a useful approach for gaining background information on a particular topic.
- Exploratory research is flexible and can address research questions of all types (what, why, how).
- Provides an opportunity to define new terms and clarify existing concepts.
- Exploratory research is often used to generate formal hypotheses and develop more precise research problems.
- Exploratory studies help establish research priorities.
- Exploratory research generally utilizes small sample sizes and, thus, findings are typically not generalizable to the population at large.
- The exploratory nature of the research inhibits an ability to make definitive conclusions about the findings.
- The research process underpinning exploratory studies is flexible but often unstructured, leading to only tentative results that have limited value in decision-making.
- Design lacks rigorous standards applied to methods of data gathering and analysis because one of the areas for exploration could be to determine what method or methodologies could best fit the research problem.
Cuthill, Michael. “Exploratory Research: Citizen Participation, Local Government, and Sustainable Development in Australia.” Sustainable Development 10 (2002): 79-89; Taylor, P. J., G. Catalano, and D.R.F. Walker. “Exploratory Analysis of the World City Network.” Urban Studies 39 (December 2002): 2377-2394; Exploratory Research . Wikipedia.
The purpose of a historical research design is to collect, verify, and synthesize evidence from the past to establish facts that defend or refute your hypothesis. It uses secondary sources and a variety of primary documentary evidence, such as, logs, diaries, official records, reports, archives, and non-textual information [maps, pictures, audio and visual recordings]. The limitation is that the sources must be both authentic and valid.
- The historical research design is unobtrusive; the act of research does not affect the results of the study.
- The historical approach is well suited for trend analysis.
- Historical records can add important contextual background required to more fully understand and interpret a research problem.
- There is no possibility of researcher-subject interaction that could affect the findings.
- Historical sources can be used over and over to study different research problems or to replicate a previous study.
- The ability to fulfill the aims of your research are directly related to the amount and quality of documentation available to understand the research problem.
- Since historical research relies on data from the past, there is no way to manipulate it to control for contemporary contexts.
- Interpreting historical sources can be very time consuming.
- The sources of historical materials must be archived consistentally to ensure access.
- Original authors bring their own perspectives and biases to the interpretation of past events and these biases are more difficult to ascertain in historical resources.
- Due to the lack of control over external variables, historical research is very weak with regard to the demands of internal validity.
- It rare that the entirety of historical documentation needed to fully address a research problem is available for interpretation, therefore, gaps need to be acknowledged.
Savitt, Ronald. “Historical Research in Marketing.” Journal of Marketing 44 (Autumn, 1980): 52-58; Gall, Meredith. Educational Research: An Introduction . Chapter 16, Historical Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007.
A longitudinal study follows the same sample over time and makes repeated observations. With longitudinal surveys, for example, the same group of people is interviewed at regular intervals, enabling researchers to track changes over time and to relate them to variables that might explain why the changes occur. Longitudinal research designs describe patterns of change and help establish the direction and magnitude of causal relationships. Measurements are taken on each variable over two or more distinct time periods. This allows the researcher to measure change in variables over time. It is a type of observational study and is sometimes referred to as a panel study.
- Longitudinal data allow the analysis of duration of a particular phenomenon.
- Enables survey researchers to get close to the kinds of causal explanations usually attainable only with experiments.
- The design permits the measurement of differences or change in a variable from one period to another [i.e., the description of patterns of change over time].
- Longitudinal studies facilitate the prediction of future outcomes based upon earlier factors.
- The data collection method may change over time.
- Maintaining the integrity of the original sample can be difficult over an extended period of time.
- It can be difficult to show more than one variable at a time.
- This design often needs qualitative research to explain fluctuations in the data.
- A longitudinal research design assumes present trends will continue unchanged.
- It can take a long period of time to gather results.
- There is a need to have a large sample size and accurate sampling to reach representativness.
Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 6, Flexible Methods: Relational and Longitudinal Research. 2nd ed. New York: Columbia University Press, 1999; Kalaian, Sema A. and Rafa M. Kasim. "Longitudinal Studies." In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 440-441; Ployhart, Robert E. and Robert J. Vandenberg. "Longitudinal Research: The Theory, Design, and Analysis of Change.” Journal of Management 36 (January 2010): 94-120; Longitudinal Study . Wikipedia.
This type of research design draws a conclusion by comparing subjects against a control group, in cases where the researcher has no control over the experiment. There are two general types of observational designs. In direct observations, people know that you are watching them. Unobtrusive measures involve any method for studying behavior where individuals do not know they are being observed. An observational study allows a useful insight into a phenomenon and avoids the ethical and practical difficulties of setting up a large and cumbersome research project.
- Observational studies are usually flexible and do not necessarily need to be structured around a hypothesis about what you expect to observe (data is emergent rather than pre-existing).
- The researcher is able to collect a depth of information about a particular behavior.
- Can reveal interrelationships among multifaceted dimensions of group interactions.
- You can generalize your results to real life situations.
- Observational research is useful for discovering what variables may be important before applying other methods like experiments.
- Observation researchd esigns account for the complexity of group behaviors.
- Reliability of data is low because seeing behaviors occur over and over again may be a time consuming task and difficult to replicate.
- In observational research, findings may only reflect a unique sample population and, thus, cannot be generalized to other groups.
- There can be problems with bias as the researcher may only "see what they want to see."
- There is no possiblility to determine "cause and effect" relationships since nothing is manipulated.
- Sources or subjects may not all be equally credible.
- Any group that is studied is altered to some degree by the very presence of the researcher, therefore, skewing to some degree any data collected (the Heisenburg Uncertainty Principle).
Atkinson, Paul and Martyn Hammersley. “Ethnography and Participant Observation.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, eds. (Thousand Oaks, CA: Sage, 1994), pp. 248-261; Observational Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Patton Michael Quinn. Qualitiative Research and Evaluation Methods . Chapter 6, Fieldwork Strategies and Observational Methods. 3rd ed. Thousand Oaks, CA: Sage, 2002; Rosenbaum, Paul R. Design of Observational Studies . New York: Springer, 2010.
Understood more as an broad approach to examining a research problem than a methodological design, philosophical analysis and argumentation is intended to challenge deeply embedded, often intractable, assumptions underpinning an area of study. This approach uses the tools of argumentation derived from philosophical traditions, concepts, models, and theories to critically explore and challenge, for example, the relevance of logic and evidence in academic debates, to analyze arguments about fundamental issues, or to discuss the root of existing discourse about a research problem. These overarching tools of analysis can be framed in three ways:
- Ontology -- the study that describes the nature of reality; for example, what is real and what is not, what is fundamental and what is derivative?
- Epistemology -- the study that explores the nature of knowledge; for example, on what does knowledge and understanding depend upon and how can we be certain of what we know?
- Axiology -- the study of values; for example, what values does an individual or group hold and why? How are values related to interest, desire, will, experience, and means-to-end? And, what is the difference between a matter of fact and a matter of value?
- Can provide a basis for applying ethical decision-making to practice.
- Functions as a means of gaining greater self-understanding and self-knowledge about the purposes of research.
- Brings clarity to general guiding practices and principles of an individual or group.
- Philosophy informs methodology.
- Refine concepts and theories that are invoked in relatively unreflective modes of thought and discourse.
- Beyond methodology, philosophy also informs critical thinking about epistemology and the structure of reality (metaphysics).
- Offers clarity and definition to the practical and theoretical uses of terms, concepts, and ideas.
- Limited application to specific research problems [answering the "So What?" question in social science research].
- Analysis can be abstract, argumentative, and limited in its practical application to real-life issues.
- While a philosophical analysis may render problematic that which was once simple or taken-for-granted, the writing can be dense and subject to unnecessary jargon, overstatement, and/or excessive quotation and documentation.
- There are limitations in the use of metaphor as a vehicle of philosophical analysis.
- There can be analytical difficulties in moving from philosophy to advocacy and between abstract thought and application to the phenomenal world.
Chapter 4, Research Methodology and Design . Unisa Institutional Repository (UnisaIR), University of South Africa; Labaree, Robert V. and Ross Scimeca. “The Philosophical Problem of Truth in Librarianship.” The Library Quarterly 78 (January 2008): 43-70; Maykut, Pamela S. Beginning Qualitative Research: A Philosophic and Practical Guide . Washington, D.C.: Falmer Press, 1994; Stanford Encyclopedia of Philosophy . Metaphysics Research Lab, CSLI, Stanford University, 2013.
- The researcher has a limitless option when it comes to sample size and the sampling schedule.
- Due to the repetitive nature of this research design, minor changes and adjustments can be done during the initial parts of the study to correct and hone the research method. Useful design for exploratory studies.
- There is very little effort on the part of the researcher when performing this technique. It is generally not expensive, time consuming, or workforce extensive.
- Because the study is conducted serially, the results of one sample are known before the next sample is taken and analyzed.
- The sampling method is not representative of the entire population. The only possibility of approaching representativeness is when the researcher chooses to use a very large sample size significant enough to represent a significant portion of the entire population. In this case, moving on to study a second or more sample can be difficult.
- Because the sampling technique is not randomized, the design cannot be used to create conclusions and interpretations that pertain to an entire population. Generalizability from findings is limited.
- Difficult to account for and interpret variation from one sample to another over time, particularly when using qualitative methods of data collection.
Rebecca Betensky, Harvard University, Course Lecture Note slides ; Cresswell, John W. Et al. “Advanced Mixed-Methods Research Designs.” In Handbook of Mixed Methods in Social and Behavioral Research . Abbas Tashakkori and Charles Teddle, eds. (Thousand Oaks, CA: Sage, 2003), pp. 209-240; Nataliya V. Ivankova. “Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice.” Field Methods 18 (February 2006): 3-20; Bovaird, James A. and Kevin A. Kupzyk. “Sequential Design.” In Encyclopedia of Research Design . Neil J. Salkind, ed. Thousand Oaks, CA: Sage, 2010; Sequential Analysis . Wikipedia.
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Home Blog Presentation Ideas How to Create and Deliver a Research Presentation
How to Create and Deliver a Research Presentation
Every research endeavor ends up with the communication of its findings. Graduate-level research culminates in a thesis defense , while many academic and scientific disciplines are published in peer-reviewed journals. In a business context, PowerPoint research presentation is the default format for reporting the findings to stakeholders.
Condensing months of work into a few slides can prove to be challenging. It requires particular skills to create and deliver a research presentation that promotes informed decisions and drives long-term projects forward.
Table of Contents
What is a Research Presentation
Key slides for creating a research presentation, tips when delivering a research presentation, how to present sources in a research presentation, recommended templates to create a research presentation.
A research presentation is the communication of research findings, typically delivered to an audience of peers, colleagues, students, or professionals. In the academe, it is meant to showcase the importance of the research paper , state the findings and the analysis of those findings, and seek feedback that could further the research.
The presentation of research becomes even more critical in the business world as the insights derived from it are the basis of strategic decisions of organizations. Information from this type of report can aid companies in maximizing the sales and profit of their business. Major projects such as research and development (R&D) in a new field, the launch of a new product or service, or even corporate social responsibility (CSR) initiatives will require the presentation of research findings to prove their feasibility.
Market research and technical research are examples of business-type research presentations you will commonly encounter.
In this article, we’ve compiled all the essential tips, including some examples and templates, to get you started with creating and delivering a stellar research presentation tailored specifically for the business context.
Various research suggests that the average attention span of adults during presentations is around 20 minutes, with a notable drop in an engagement at the 10-minute mark . Beyond that, you might see your audience doing other things.
How can you avoid such a mistake? The answer lies in the adage “keep it simple, stupid” or KISS. We don’t mean dumbing down your content but rather presenting it in a way that is easily digestible and accessible to your audience. One way you can do this is by organizing your research presentation using a clear structure.
Here are the slides you should prioritize when creating your research presentation PowerPoint.
1. Title Page
The title page is the first thing your audience will see during your presentation, so put extra effort into it to make an impression. Of course, writing presentation titles and title pages will vary depending on the type of presentation you are to deliver. In the case of a research presentation, you want a formal and academic-sounding one. It should include:
- The full title of the report
- The date of the report
- The name of the researchers or department in charge of the report
- The name of the organization for which the presentation is intended
When writing the title of your research presentation, it should reflect the topic and objective of the report. Focus only on the subject and avoid adding redundant phrases like “A research on” or “A study on.” However, you may use phrases like “Market Analysis” or “Feasibility Study” because they help identify the purpose of the presentation. Doing so also serves a long-term purpose for the filing and later retrieving of the document.
Here’s a sample title page for a hypothetical market research presentation from Gillette .
2. Executive Summary Slide
The executive summary marks the beginning of the body of the presentation, briefly summarizing the key discussion points of the research. Specifically, the summary may state the following:
- The purpose of the investigation and its significance within the organization’s goals
- The methods used for the investigation
- The major findings of the investigation
- The conclusions and recommendations after the investigation
Although the executive summary encompasses the entry of the research presentation, it should not dive into all the details of the work on which the findings, conclusions, and recommendations were based. Creating the executive summary requires a focus on clarity and brevity, especially when translating it to a PowerPoint document where space is limited.
Each point should be presented in a clear and visually engaging manner to capture the audience’s attention and set the stage for the rest of the presentation. Use visuals, bullet points, and minimal text to convey information efficiently.
3. Introduction/ Project Description Slides
In this section, your goal is to provide your audience with the information that will help them understand the details of the presentation. Provide a detailed description of the project, including its goals, objectives, scope, and methods for gathering and analyzing data.
You want to answer these fundamental questions:
- What specific questions are you trying to answer, problems you aim to solve, or opportunities you seek to explore?
- Why is this project important, and what prompted it?
- What are the boundaries of your research or initiative?
- How were the data gathered?
Important: The introduction should exclude specific findings, conclusions, and recommendations.
4. Data Presentation and Analyses Slides
This is the longest section of a research presentation, as you’ll present the data you’ve gathered and provide a thorough analysis of that data to draw meaningful conclusions. The format and components of this section can vary widely, tailored to the specific nature of your research.
For example, if you are doing market research, you may include the market potential estimate, competitor analysis, and pricing analysis. These elements will help your organization determine the actual viability of a market opportunity.
Visual aids like charts, graphs, tables, and diagrams are potent tools to convey your key findings effectively. These materials may be numbered and sequenced (Figure 1, Figure 2, and so forth), accompanied by text to make sense of the insights.
5. Conclusions
The conclusion of a research presentation is where you pull together the ideas derived from your data presentation and analyses in light of the purpose of the research. For example, if the objective is to assess the market of a new product, the conclusion should determine the requirements of the market in question and tell whether there is a product-market fit.
Designing your conclusion slide should be straightforward and focused on conveying the key takeaways from your research. Keep the text concise and to the point. Present it in bullet points or numbered lists to make the content easily scannable.
6. Recommendations
The findings of your research might reveal elements that may not align with your initial vision or expectations. These deviations are addressed in the recommendations section of your presentation, which outlines the best course of action based on the result of the research.
What emerging markets should we target next? Do we need to rethink our pricing strategies? Which professionals should we hire for this special project? — these are some of the questions that may arise when coming up with this part of the research.
Recommendations may be combined with the conclusion, but presenting them separately to reinforce their urgency. In the end, the decision-makers in the organization or your clients will make the final call on whether to accept or decline the recommendations.
7. Questions Slide
Members of your audience are not involved in carrying out your research activity, which means there’s a lot they don’t know about its details. By offering an opportunity for questions, you can invite them to bridge that gap, seek clarification, and engage in a dialogue that enhances their understanding.
If your research is more business-oriented, facilitating a question and answer after your presentation becomes imperative as it’s your final appeal to encourage buy-in for your recommendations.
A simple “Ask us anything” slide can indicate that you are ready to accept questions.
1. Focus on the Most Important Findings
The truth about presenting research findings is that your audience doesn’t need to know everything. Instead, they should receive a distilled, clear, and meaningful overview that focuses on the most critical aspects.
You will likely have to squeeze in the oral presentation of your research into a 10 to 20-minute presentation, so you have to make the most out of the time given to you. In the presentation, don’t soak in the less important elements like historical backgrounds. Decision-makers might even ask you to skip these portions and focus on sharing the findings.
2. Do Not Read Word-per-word
Reading word-for-word from your presentation slides intensifies the danger of losing your audience’s interest. Its effect can be detrimental, especially if the purpose of your research presentation is to gain approval from the audience. So, how can you avoid this mistake?
- Make a conscious design decision to keep the text on your slides minimal. Your slides should serve as visual cues to guide your presentation.
- Structure your presentation as a narrative or story. Stories are more engaging and memorable than dry, factual information.
- Prepare speaker notes with the key points of your research. Glance at it when needed.
- Engage with the audience by maintaining eye contact and asking rhetorical questions.
3. Don’t Go Without Handouts
Handouts are paper copies of your presentation slides that you distribute to your audience. They typically contain the summary of your key points, but they may also provide supplementary information supporting data presented through tables and graphs.
The purpose of distributing presentation handouts is to easily retain the key points you presented as they become good references in the future. Distributing handouts in advance allows your audience to review the material and come prepared with questions or points for discussion during the presentation.
4. Actively Listen
An equally important skill that a presenter must possess aside from speaking is the ability to listen. We are not just talking about listening to what the audience is saying but also considering their reactions and nonverbal cues. If you sense disinterest or confusion, you can adapt your approach on the fly to re-engage them.
For example, if some members of your audience are exchanging glances, they may be skeptical of the research findings you are presenting. This is the best time to reassure them of the validity of your data and provide a concise overview of how it came to be. You may also encourage them to seek clarification.
5. Be Confident
Anxiety can strike before a presentation – it’s a common reaction whenever someone has to speak in front of others. If you can’t eliminate your stress, try to manage it.
People hate public speaking not because they simply hate it. Most of the time, it arises from one’s belief in themselves. You don’t have to take our word for it. Take Maslow’s theory that says a threat to one’s self-esteem is a source of distress among an individual.
Now, how can you master this feeling? You’ve spent a lot of time on your research, so there is no question about your topic knowledge. Perhaps you just need to rehearse your research presentation. If you know what you will say and how to say it, you will gain confidence in presenting your work.
All sources you use in creating your research presentation should be given proper credit. The APA Style is the most widely used citation style in formal research.
In-text citation
Add references within the text of your presentation slide by giving the author’s last name, year of publication, and page number (if applicable) in parentheses after direct quotations or paraphrased materials. As in:
The alarming rate at which global temperatures rise directly impacts biodiversity (Smith, 2020, p. 27).
If the author’s name and year of publication are mentioned in the text, add only the page number in parentheses after the quotations or paraphrased materials. As in:
According to Smith (2020), the alarming rate at which global temperatures rise directly impacts biodiversity (p. 27).
Image citation
All images from the web, including photos, graphs, and tables, used in your slides should be credited using the format below.
Creator’s Last Name, First Name. “Title of Image.” Website Name, Day Mo. Year, URL. Accessed Day Mo. Year.
Work cited page
A work cited page or reference list should follow after the last slide of your presentation. The list should be alphabetized by the author’s last name and initials followed by the year of publication, the title of the book or article, the place of publication, and the publisher. As in:
Smith, J. A. (2020). Climate Change and Biodiversity: A Comprehensive Study. New York, NY: ABC Publications.
When citing a document from a website, add the source URL after the title of the book or article instead of the place of publication and the publisher. As in:
Smith, J. A. (2020). Climate Change and Biodiversity: A Comprehensive Study. Retrieved from https://www.smith.com/climate-change-and-biodiversity.
1. Research Project Presentation PowerPoint Template
A slide deck containing 18 different slides intended to take off the weight of how to make a research presentation. With tons of visual aids, presenters can reference existing research on similar projects to this one – or link another research presentation example – provide an accurate data analysis, disclose the methodology used, and much more.
Use This Template
2. Research Presentation Scientific Method Diagram PowerPoint Template
Whenever you intend to raise questions, expose the methodology you used for your research, or even suggest a scientific method approach for future analysis, this circular wheel diagram is a perfect fit for any presentation study.
Customize all of its elements to suit the demands of your presentation in just minutes.
3. Thesis Research Presentation PowerPoint Template
If your research presentation project belongs to academia, then this is the slide deck to pair that presentation. With a formal aesthetic and minimalistic style, this research presentation template focuses only on exposing your information as clearly as possible.
Use its included bar charts and graphs to introduce data, change the background of each slide to suit the topic of your presentation, and customize each of its elements to meet the requirements of your project with ease.
4. Animated Research Cards PowerPoint Template
Visualize ideas and their connection points with the help of this research card template for PowerPoint. This slide deck, for example, can help speakers talk about alternative concepts to what they are currently managing and its possible outcomes, among different other usages this versatile PPT template has. Zoom Animation effects make a smooth transition between cards (or ideas).
5. Research Presentation Slide Deck for PowerPoint
With a distinctive professional style, this research presentation PPT template helps business professionals and academics alike to introduce the findings of their work to team members or investors.
By accessing this template, you get the following slides:
- Introduction
- Problem Statement
- Research Questions
- Conceptual Research Framework (Concepts, Theories, Actors, & Constructs)
- Study design and methods
- Population & Sampling
- Data Collection
- Data Analysis
Check it out today and craft a powerful research presentation out of it!
A successful research presentation in business is not just about presenting data; it’s about persuasion to take meaningful action. It’s the bridge that connects your research efforts to the strategic initiatives of your organization. To embark on this journey successfully, planning your presentation thoroughly is paramount, from designing your PowerPoint to the delivery.
Take a look and get inspiration from the sample research presentation slides above, put our tips to heart, and transform your research findings into a compelling call to action.
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[Updated 2023] Top 20 PowerPoint Templates to Devise a Systematic Research Methodology
Kritika Saini
Developing a systematic research methodology is essential for conducting effective investigations. It ensures clarity, rigor, validity, replicability, ethical integrity, and efficiency in the research process. It serves as a roadmap that guides researchers through the study, enabling them to generate reliable findings and contribute to the advancement of knowledge in their respective fields.
Research Methodology Templates to Conduct Rigorous and Reliable Research
By following a well-structured approach, you can enhance the efficiency of your research and produce meaningful results. Therefore, SlideTeam brings you a collection of content-ready and custom-made PPT templates to help you save time by providing pre-designed structures and frameworks for research methodologies. You can customize these templates to fit your specific projects, eliminating the need to create a methodology from scratch.
This time-saving aspect allows you to focus more on the actual research process. Secondly, these ready-made templates provide you with consistency and standardization in methodologies. They ensure that essential elements are included and organized in a logical manner, making it easier for readers and reviewers to understand and evaluate the research. They also serve as a helpful guide, ensuring that researchers cover all necessary components and follow best practices. They provide a clear and structured format for learning about research methodologies and help researchers develop a systematic approach to their work. Overall, research methodology templates streamline the process, enhance consistency, and serve as educational resources for researchers at various levels of expertise.
Browse the collection below and ensure that your methodology is comprehensive and well-written.
Let's begin!
Want to elevate your creativity? Check out this blog.
Template 1: Research method PPT Template
Save time and ensure consistency with our research methodology template. Designed to streamline your research process, our content-ready template provides a pre-designed structure and framework for developing your methodology section. Use this actionable PPT to focus more on conducting your research while ensuring that all essential elements are covered and organized in a logical manner. Enhance your efficiency and maintain consistency with our research methodology template.
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Template 2: Research Methodology Process Analysis Template
This is a content-ready PowerPoint template to maximize the effectiveness of your research. This professional and appealing template guides you step-by-step through the research process, from defining your research question to analyzing and interpreting data. With a structured framework in place, you can ensure that your methodology is comprehensive, rigorous, and adheres to best practices. Save time and maintain consistency by using our research methodology process template, empowering you to conduct high-quality research and generate meaningful insights.
Template 3: Business Research Design and Methodology Template
Accelerate your business research endeavors with our business research methodology proposal template. This comprehensive e template provides a solid framework for crafting a well-structured and persuasive research proposal. Streamline the proposal development process by leveraging our template's pre-designed sections, including problem statement, research objectives, methodology, timeline, and budget. Present your proposal with confidence, knowing that you have followed a proven format and incorporated essential elements. Take your business research to the next level with our business research methodology proposal template.
Template 4: Market Share Research Methodology Template
Wish to uncover valuable market insights? Deploy this ready-made PowerPoint template that simplifies the process of analyzing market share data, allowing you to assess your company's performance in relation to competitors. With pre-designed sections for data collection, analysis, and visualization, easily track market trends, identify growth opportunities, and make data-driven decisions. Save time and enhance your market research efforts with our market share research template, empowering you to stay ahead in a competitive business landscape.
Template 5: PESTEL Analysis Research Methodology PPT Template
Gain a comprehensive understanding of your business environment with our pre-designed PESTEL analysis research methodology template. This versatile template provides a structured framework for conducting a thorough analysis of the political, economic, social, technological, environmental, and legal factors impacting your industry or market. Easily identify key trends, opportunities, and risks by utilizing our pre-designed sections and guidance. Streamline your research process and make informed strategic decisions using our PESTEL Analysis research methodology template, ensuring your business stays ahead of the curve.
Template 6: Research Methodology with 3 Step Process Map PPT Template
Looking for ways to create a research methodology process? Achieve research success with our content-ready PPT template which simplifies the research journey into three steps. Collect data, conduct research, and evaluate your findings to draw meaningful conclusions. With our template, you'll stay organized and ensure consistency throughout your research process. Maximize your research potential and achieve impactful results using our premium PPT slide.
Template 7: Rational Sections Research Methodology Template
This is a well-structured PowerPoint template that features distinct sections that guide you through every aspect of your research. From clearly defining research objectives to selecting appropriate data collection methods, analyzing data, and interpreting results, this PPT slide ensures you cover all essential components. With pre-designed sections for literature review, research design, data analysis, and more, you can streamline your research process and maintain consistency. Harness the potential of each section in our research methodology template to conduct rigorous and impactful studies.
Template 8: Research Methodology with Analysis PPT Template
Unleash the power of data-driven insights with our ready-made PPT template. This all-inclusive template integrates research methodology and data analysis, providing a comprehensive framework for conducting robust studies. From defining research objectives to data collection, cleaning, and analysis, our template guides you through each step of the research process. With pre-designed sections for statistical analysis, visualizations, and interpretation, uncover meaningful patterns and trends in your data. Elevate your research endeavors with this actionable template and unlock valuable insights for informed decision-making.
Template 9: Research Methodology Workflow PPT Template
Wish to optimize your research workflow? Use this content-ready PPT template that simplifies the process of planning, executing, and documenting your research methodology. With pre-designed sections for each stage, including research question formulation, data collection, analysis, and reporting, this pre-designed template ensures a structured and organized approach. Streamline your workflow, enhance collaboration, and maintain consistency throughout your research project with our professional and appealing PPT slide.
Template 10: Research Methodology with Literature Review PPT Template
Deploy this content-ready PowerPoint template to elevate your research that showcases crucial elements of literature review, providing a seamless framework for conducting rigorous investigations. With this pre-designed PPT template exhibiting research objectives, appropriate methods, a thorough literature review, and findings with existing knowledge, you can save time, maintain consistency, and produce impactful research. Leverage our PPT template to uncover valuable insights and contribute to the advancement of knowledge in your field.
Template 11: Framework of Exploratory Research Methodology PPT Template
Embark on a journey of discovery and provide a structured framework for conducting exploratory research using our content-ready template. Delve into uncharted territories and uncover new insights by incorporating this premium template. Use this PPT slide to identify problem, data collection methods, analysis techniques, and interpretation. This PowerPoint template guides you through the exploratory research process. Unlock novel perspectives, generate hypotheses, and fuel innovation using our ready-made slide.
Template 12: 5 Steps Indicating Research Methodology Process PPT Template
Looking for ways to streamline your research journey? Deploy this content-ready PowerPoint template to simplify the research process into five clear and manageable steps: Define, Design, Collect, Analyze, and Report. Each step is accompanied by pre-designed sections, ensuring a systematic approach to your research project. From formulating research questions to presenting your findings, this premium template provides a structured framework for success. Save time, stay organized, and achieve research excellence with this ready-made template.
Template 13: Graph of Primary Research Methodology PPT Template
Experience the power of data-driven insights with this professional and appealing PPT template. Designed for primary research, this template offers a comprehensive framework that includes field trials, observations, interviews, focus groups, and surveys. Easily visualize and navigate through each stage of your research process, from data collection to analysis. Organize and document your findings to maximize the effectiveness of your primary research and make informed decisions using our ready to use PowerPoint template.
Template 14: Research Methodology Framework of Market Analysis PPT Template
Use this content-ready PPT template tailored specifically for market analysis to guide your research process. From defining research objectives to selecting appropriate data collection methods, analyzing market trends, and drawing meaningful conclusions, our template covers all essential aspects. Streamline your market analysis, maintain consistency, and make data-driven decisions with ease using our Research Methodology Framework for Market Analysis template. Stay ahead of the competition and capitalize on market opportunities.
Template 15: Four Steps Process of Research Methodology PPT Template
This is a ready to use PPT template that provides you a structured and organized approach for your research methodology It includes a four-step process: Project Design, Data Acquisition, Data Analysis, and Strategy Recommendation to plan your research project, gather relevant data, analyze it using appropriate techniques, and derive actionable strategy recommendations. Save time and enhance the effectiveness of your research with our premium template, empowering you to make informed decisions and achieve impactful results.
Template 16: Market Research Methodology and Techniques PPT Template
This comprehensive template equips you with a range of methodologies and techniques to effectively study and understand your target market. From surveys and interviews to focus groups and data analysis, this premium template covers a wide array of research methods. It provides pre-designed sections for each technique, guiding you through the research process and ensuring consistency.
Template 17: Quantitative Market Research Methodology Framework PPT Template
This template serves as a guide to direct your market research endeavors. Showcasing each stage of the research process, including research design, data collection methods, analysis techniques, and reporting, this template ensures a systematic approach to quantitative market research. Create professional and engaging presentations, highlighting your research methodology with ease.
Template 18: Process Tree for Research Methodology PPT Template
Use this content-ready PPT template that outlines the sequential steps involved in conducting a research study. It serves as a roadmap, depicting the flow of activities from research question formulation to data collection, analysis, and interpretation. Like the branches of a tree, each step branches out into sub-steps and tasks, highlighting the interconnectedness and dependencies. Grab this ready-made PowerPoint template that provides you with a clear and engaging overview, ensuring researchers stay organized and follow a systematic approach throughout their research journey.
Template 19: Flowchart for Research Methodology PPT Template
Deploy this pre-designed PPT that illustrates the logical flow of steps and decisions involved in conducting a research study. Similar to a roadmap, it presents a series of interconnected boxes or shapes connected by arrows, representing the sequential progression of activities. Each box represents a specific task or process, and the arrows indicate the direction of the flow. Incorporate this PPT slide to help your audience understand the research process at a glance, making it engaging and crisp to follow the logical progression of their study.
Template 20: Eleven Stage Process for Research Methodology PPT Template
Unleash the power of simplicity in research methodology using our PPT template that eliminates complexity and guides you through each step effortlessly. From defining objectives to data analysis, we've got you covered. Simplify your research journey and unlock meaningful insights with ease.
Our content-ready and custom-made templates empower researchers to streamline their work, save time, and maintain consistency. With its comprehensive structure and pre-designed sections, it simplifies the research process, ensuring all essential components are covered. Maximize your research potential and achieve impactful results with our user-friendly template.
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FAQs on Research Methodology
What are the four types of research methodology.
The four types of research methodology commonly used in academic and scientific studies are:
Descriptive Research: This type aims to describe and document the characteristics, behavior, and phenomena of a particular subject or population. It focuses on gathering information and providing an accurate portrayal of the research topic.
Experimental Research: This approach involves the manipulation and control of variables to establish cause-and-effect relationships. It often includes the use of control groups and random assignment to test hypotheses and draw conclusions.
Correlational Research: This methodology examines the statistical relationship between two or more variables without direct manipulation. It aims to identify patterns and associations between variables to understand their degree of relationship.
Qualitative Research: This approach focuses on exploring and understanding the subjective experiences, perspectives, and meanings attributed by individuals or groups. It involves methods such as interviews, observations, and analysis of textual or visual data to uncover insights and interpretations.
What are the 3 main methodological types of research?
The three main methodological types of research are:
Quantitative Research: This approach involves the collection and analysis of numerical data to uncover patterns, relationships, and statistical trends. It focuses on objective measurements, often utilizing surveys, experiments, and statistical analysis to quantify and generalize findings.
Qualitative Research: This methodology aims to understand the subjective experiences, meanings, and social contexts associated with a research topic. It relies on non-numerical data, such as interviews, observations, and textual analysis, to explore in-depth perspectives, motivations, and behavior.
Mixed-Methods Research: This type of research integrates both quantitative and qualitative approaches, combining the strengths of both methodologies. It involves collecting and analyzing both numerical and non-numerical data to gain a comprehensive understanding of the research problem. Mixed-methods research can provide a more nuanced picture by capturing both statistical trends and rich contextual information.
What are the 7 basic research methods?
There are several research methods commonly used in academic and scientific studies. While the specific categorization may vary, here are seven basic research methods:
Experimental Research: Involves controlled manipulation of variables to establish cause-and-effect relationships.
Survey Research: Utilizes questionnaires or interviews to collect data from a sample population to gather insights and opinions.
Observational Research: Involves systematic observation of subjects in their natural environment to gather qualitative or quantitative data.
Case Study Research: In-depth analysis of a particular individual, group, or phenomenon to gain insights and generate detailed descriptions.
Correlational Research: Examines the statistical relationship between variables to identify patterns and associations.
Qualitative Research: Focuses on understanding subjective experiences, meanings, and social contexts through interviews, observations, and textual analysis.
Action Research: Involves collaboration between researchers and participants to address real-world problems and generate practical solutions.
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30+ Best Research Presentation Templates for PowerPoint (PPT)
Finding the right PowerPoint template plays an important part in getting your message across to the audience during a presentation. And it’s especially true for research presentations.
Using the right colors, graphs, infographics, and illustrations in your slides is the key to delivering information more effectively and making your presentation a success.
Today, we handpicked a great collection of research presentation PowerPoint templates for you to make the perfect slideshows for various types of research papers and studies.
Whether you’re preparing for a presentation at a school, event, or conference, there are templates in this list for all purposes. Let’s dive in.
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Science & Research Presentation PowerPoint Template
This PowerPoint template is a perfect choice for preparing a research presentation to share your scientific findings and reports.
The template has 30 unique slides with unlimited color options. There are a few infographics included in the slideshow as well.
Why This Is A Top Pick
The presentation has a very modern and creative design where you can showcase your data and information in an attractive way. You won’t be making boring research presentations ever again.
Labvire – Research Presentation PowerPoint Template
Labvire is another modern PowerPoint template you can use for various types of research presentations. It’s also ideal for laboratory-related research presentations. The template has fully customizable slide layouts with editable charts, graphs, and more. You can choose from more than 40 unique slide designs as well.
Novalabs – Science Research PowerPoint Template
Novalabs PowerPoint template features a highly visual and attractive design. The template includes 36 different slides that feature large image placeholders for adding a more visual look to your presentations. There are lots of editable graphics, shapes, and tables included in the template too. Feel free to customize them however you like.
Research & Development PowerPoint Template
The minimal and clean design of this PowerPoint template makes it a great choice for delivering more effective research presentations. With fewer distractions in each slide, you’ll be able to convey your message more easily. The template comes with 30 unique slides. You can change the colors, fonts, and shapes to your preference as well.
Marketing Research Presentation PowerPoint Template
When talking about research presentations, we can’t forget about marketing research. Most sales and marketing meetings usually include a sophisticated marketing research presentation. This PowerPoint template will help you design those research presentations without effort. It includes a total of 150 slides, featuring 30 unique slides in 5 different color schemes.
Free Business Market Research Presentation Template
This is a free PowerPoint template designed for making business market research presentations. It gives you 27 different and fully customizable slides to create professional slideshows for your business meetings.
Free Business Data Analysis & Research Presentation
With this PowerPoint template, you can create colorful and creative business research and data analysis presentation without any design skills. It includes 35 unique slides with lots of infographics and editable shapes. The template is free to use as well.
Lernen – Research Thesis PowerPoint Presentation
Larnen is the ideal PowerPoint template for making research slideshows for your thesis presentations. It includes 30 unique slides that are available in light and dark color themes. It also has editable charts and graphs.
Aristo – Research Academic PowerPoint Presentation
This PowerPoint template is also made with academic research presentations in mind. The template has a professional design with clean layouts and light colors. It comes with more than 30 different slides.
Biosearch – Science Research PowerPoint Template
You can use this PowerPoint template to make professional presentations to present research data and results. It lets you choose from 40 different slides and 90 color themes. The slides are available in both light and dark color themes as well.
Neolabs – Laboratory & Science Research PPT
Neolabs is another science research presentation made with laboratory research teams in mind. You can use it to make effective slideshows to present your research findings. There are 30 unique slides in this template.
Free Business Cost Analysis PowerPoint Template
This is a free PowerPoint and Google Slides template that comes with 35 unique slides. It’s ideal for making research presentations related to business financials.
Research & Case Study PowerPoint Template
Create the perfect case study presentation using your research data with this PowerPoint template. It includes a modern slide design with infographics and charts for effectively presenting your data.
Liron Labs – Laboratory Research PowerPoint Template
Another PowerPoint template for laboratory research presentations. This template includes 15 useful slide layouts with editable graphics, free fonts, and image placeholders. You can edit and customize the colors and text as well.
Research Thesis PowerPoint Template
Make an attractive and creative research thesis presentation using this PowerPoint template. There are over 30 unique slides in this template. You can either use dark or light color themes to create your presentations.
Colorful Thesis Research PowerPoint Template
If you want to make your research presentations look more colorful and creative, this PowerPoint template is for you. It has 15 different slides with fully customizable layouts. It has editable shapes, free fonts, and image placeholders too.
Free Data Analysis Research PowerPoint Template
This PowerPoint template is also free to download. You can also customize it using PowerPoint or Google Slides. This template is ideal for marketing agencies and teams for presenting research and data analysis.
Laboratory & Science Research PowerPoint Template
You can make more convincing and unique lab research presentations using this PowerPoint template. It features a creative design that will easily attract the attention of your audience. You can use it to make various other science and research presentations too. The template includes 30 unique slides.
The Biologist – Research Presentation PowerPoint Template
Just as the name suggests, this PowerPoint template is designed with biology and science-related presentations in mind. It includes many useful slide layouts that can be used to make various types of research presentations. There are 30 different slide designs included in this template with editable shapes and colors.
Modern Science & Research PowerPoint Template
If you’re looking for a PowerPoint template to create a modern-looking research presentation, this template is perfect for you. It features a collection of modern and attractive slides with lots of space for including images, icons, and graphs. There are 30 unique slides in the template with light and dark color themes to choose from.
Marketing Report & Research PowerPoint Template
This PowerPoint template doubles as both a research and report slideshow. You can use it to create various marketing reports as well as marketing research presentations. It comes with 30 slides that feature minimal and clean designs. It includes lots of editable charts, infographics, and tables as well.
Market Research Presentation PowerPoint Template
Another modern PowerPoint template for making market research presentations. This template includes 25 unique slides with master slides, image placeholders, and editable colors. The template is ideal for marketing agencies and corporate businesses.
Free Academic Research Thesis PowerPoint Template
This free PowerPoint template is designed for defending your academic research thesis dissertation. Needless to say, it’s a useful template for academics as well as teachers. The template features 23 unique slide layouts with customizable designs.
Free Economics Research Thesis Presentation Template
You can use this free template to create thesis and research presentations related to economics. It’s useful for academic students and gives you the freedom to choose from 21 slide layouts to make your own presentations.
Labia – Research Presentation Powerpoint Template
Labia is a research presentation template made for professionals. It comes with a set of modern slides with multipurpose designs. That means you can customize them to make many different types of research presentations. There are 30 unique slides included in this template that come in 5 different color themes.
Medical Research Infographics & Powerpoint Slides
You’ll be using lots of charts, graphs, and infographics in your presentations to showcase data in visual form. Not to mention that visuals always work well for attracting the audience’s attention. You can use the infographic slides in this template to create better research presentations. Each slide features a unique infographic with animated designs.
Foreka – Biology Education & Research Presentation PPT
Foreka is a PowerPoint template made for educational presentations, especially for covering topics related to biology. But it can also be customized to present your research presentations. The slides have very useful layouts that are most suitable for making research slide designs. There are 30 slides included with light and dark color themes.
Maua – Aesthetic Business Research PowerPoint Template
This PowerPoint template is suitable for making elegant and stylish business reports and business research presentations. It’s especially great for making background research and competitor research slideshows. The template comes with 30 slides featuring master slides, image placeholders, and more.
World Data Scientist Powerpoint Presentation Template
You can use this PowerPoint template to create research presentations for many different types of topics, industries, and projects. The template includes lots of data-centric slides where you can easily showcase your data in visual form. There are 30 unique slides included with the template as well.
Free SWOT Analysis Infographics PowerPoint Template
SWOT analysis is a commonly used methodology in business research presentations. With this free PowerPoint template, you can create stylish SWOT analysis infographics for your presentations. It includes SWOT infographics in 30 different styles.
Free Market Research Presentation Infographics PPT
This is a collection of free PowerPoint slides that feature various styles of infographics you can use in your business and market research presentations. There are 30 different infographic slides included in this template. You can edit, change colors, and customize them however you like.
Sinara – Science & Research Powerpoint Template
Sinara is a brilliant PowerPoint template you can use to craft a professional presentation for science-related research and reports. It’s available in 3 different color schemes as well as the option to customize the colors to your preference. The template comes in light and dark themes too.
Political Science and Research PowerPoint Template
This PowerPoint template will be quite useful to political science and international relations students. It features a total of 150 slides you can use to create attractive presentations for your research and methodologies. There are slides in 5 different color schemes.
How to Make a Research Poster in PowerPoint
We bet you didn’t know that you could actually design posters in PowerPoint. Well, you can and it’s very easy to do so.
The easiest way to make a poster in PowerPoint is to use a pre-made template like the one above.
You can easily copy one of the slides from a template, and resize the slide dimensions to create a vertical poster. Then add a title with a few lines of text and you’ll have yourself a poster.
Or, if you want to craft a poster from scratch, you can read our complete guide on how to create posters in PowerPoint with step-by-step instructions.
For more useful presentation templates, be sure to check out our best educational PowerPoint templates collection.
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This document discusses different types of research designs, including quantitative, qualitative, and mixed methods designs. It provides details on the following key points: - Quantitative designs use numeric data and statistical analysis to objectively study variables and answer narrow questions. Experimental and survey designs are discussed.
Research design. The document discusses various aspects of research design including: 1. Research design involves decisions about what, where, when, how much, and by what means to study a research problem. 2. Key parts of research design include sampling design, observational design, statistical design, and operational design. 3.
2. Introduction: Research approach and research design are two terms that are frequently used interchangeably. A research design is the frame work or guide used for the planning, implementation, and analysis of a study. It is a systematic plan of what is to be done, how it will be done, how the data will be analyzed. Research design basically ...
A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about: Your overall research objectives and approach. Whether you'll rely on primary research or secondary research. Your sampling methods or criteria for selecting subjects. Your data collection methods.
In this chapter, the general design of the research and the methods used for data collection are explained in detail. It includes three main parts. The first part gives a highlight about the dissertation design. The second part discusses about qualitative and quantitative data collection methods. The last part illustrates the general research ...
The essence of research design is to translate a research problem into data for analysis so as to provide relevant answers to research questions at a minimum cost. This paper investigates what research design is, the different kinds of research design and how a researcher can choose the appropriate research design for his/her study.
Research design. Dr Sandjon sitio S Seraphin. The research design refers to the overall strategy that we choose to integrate the different components of the study in a coherent and logical way, thereby, ensuring we will effectively address the research problem; it constitutes the blueprint for the collection, measurement, and analysis of data.
The Research Design • In this step we need to design the research in a way that the requisite data can be gathered and analyzed to arrive at a solution. • The research design was originally presented in a simple manner in box 6 of Figure 6.1. Figure 6.1. Figure 6.2: The Various Issues Involved in the Research Design.
Research design refers to the overall plan, structure or strategy that guides a research project, from its conception to the final analysis of data. Research designs for quantitative studies include descriptive, correlational, experimental and quasi-experimenta l designs. Research designs for qualitative studies include phenomenological ...
Types of Research Design • Correlational Study • Explores or tests relations between variables • "Rules out" alternative variables that could play a role in relations between variables • Field • Studies participants in their natural setting • Maximizes realism Sekaran, Saks.
Aug 22, 2019 • Download as PPT, PDF •. 119 likes • 327,466 views. P. Prahlada G. Research Design. Education. 1 of 28. Download now. Research design and types of research design final ppt - Download as a PDF or view online for free.
Research design.ppt - Free download as Powerpoint Presentation (.ppt), PDF File (.pdf), Text File (.txt) or view presentation slides online. This document outlines different aspects of research design. It discusses three main types of research: exploratory, descriptive, and causal. Exploratory research seeks insights without clear hypotheses, descriptive provides snapshots of markets, and ...
About This Presentation. Title: Types of research design. Description: Types of research design experiments Chapter 8 in Babbie & Mouton (2001) Introduction to all research designs All research designs have specific objectives they ... - PowerPoint PPT presentation. Number of Views: 1265. Avg rating:3.0/5.0.
Presentation transcript: 1 RESEARCH DESIGN. 2 RESEARCH DESIGN Decisions regarding what, where, when, how much. A research design the arrangement of conditions for collection and analysis of data in a manner that aims to combine relevance to the research purpose with economy in procedure. 3 The designing decisions happen to be in respect of:
Hierarchy of Evidence for Clinical Decision Making. Expert opinions, editorials, perspective, ideas are based on professional experience - a key aspect of EBP! Animal studies often ARE the basic research studies! "Provide a substantial foundation". "Difficult to generalize to the patient sitting in front of the practitioner.".
The research design refers to the overall strategy that you choose to integrate the different components of the study in a coherent and logical way, thereby, ensuring you will effectively address the research problem; it constitutes the blueprint for the collection, measurement, and analysis of data. ... Powerpoint Presentation; Shuttleworth ...
4. Research Design • refers to a scheme or plan of action for meeting the objectives • a blueprint for conducting a study that maximizes control over factors that could interfere with the validity of the findings. • the researcher's plan - how the study will be conducted, - type of data that will be collected, and - the means to be used to obtain these data, (which are determined ...
In the case of a research presentation, you want a formal and academic-sounding one. It should include: The full title of the report. The date of the report. The name of the researchers or department in charge of the report. The name of the organization for which the presentation is intended.
Template 13: Graph of Primary Research Methodology PPT Template. Experience the power of data-driven insights with this professional and appealing PPT template. Designed for primary research, this template offers a comprehensive framework that includes field trials, observations, interviews, focus groups, and surveys.
Types Pre-Experimental Designs: Pre-experiments. Quasi- Experimental Research Design . Non- Equivalent Group. Pre-Test Post-Test Design . Interrupted Time Series. Ex-Post Facto Research Design In. Researcher predicts a. However , it. The research focuses.
Most sales and marketing meetings usually include a sophisticated marketing research presentation. This PowerPoint template will help you design those research presentations without effort. It includes a total of 150 slides, featuring 30 unique slides in 5 different color schemes. Free Business Market Research Presentation Template
A formal design that is perfect for research or Chemistry lessons; 100% editable and easy to modify; 28 different slides to impress your audience ; Available in five colors: cream, green, pink, blue and yellow; Contains easy-to-edit graphics such as tables, charts, diagrams and maps; Includes 500+ icons and Flaticon's extension for ...
Research Design. May 28, 2008 • Download as PPT, PDF •. 549 likes • 434,618 views. G. gaurav22. Technology Business. 1 of 26. Download now. Research Design - Download as a PDF or view online for free.