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1.2 Research Methods in Psychology

4 min read • january 5, 2023

Sadiyya Holsey

Jillian Holbrook

Overview of Research Methods

There are various types of research methods in psychology with different purposes, strengths, and weaknesses.

Whenever researchers want to prove or find causation, they would run an experiment.

An experiment you'll learn about in Unit 9 that was run by Solomon Asch investigated the extent to which one would conform to a group's ideas.

Image Courtesy of Wikipedia .

Each person in the room would have to look at these lines above and state which one they thought was of similar length to the original line. The answer was, of course, obvious, but Asch wanted to see if the "real participant" would conform to the views of the rest of the group.

Asch gathered together what we could call "fake participants" and told them not to say line C. The "real participant" would then hear wrong answers, but they did not want to be the odd one out, so they conformed with the rest of the group and represented the majority view.

In this experiment, the "real participant" was the control group , and about 75% of them, over 12 trials, conformed at least once.

Correlational Study

There could be a correlational study between anything. Say you wanted to see if there was an association between the number of hours a teenager sleeps and their grades in high school. If there was a correlation, we cannot say that sleeping a greater number of hours causes higher grades. However, we can determine that they are related to each other. 💤

Remember in psychology that a correlation does not prove causation!

Survey Research

Surveys are used all the time, especially in advertising and marketing. They are often distributed to a large number of people, and the results are returned back to researchers.

Naturalistic Observation

If a student wanted to observe how many people fully stop at a stop sign, they could watch the cars from a distance and record their data. This is a naturalistic observation since the student is in no way influencing the results.

A notable psychological case study is the study of Phineas Gage :

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Phineas Gage was a railroad construction foreman who survived a severe brain injury in 1848. The accident occurred when an iron rod was accidentally driven through Gage's skull, damaging his frontal lobes . Despite the severity of the injury, Gage was able to walk and talk immediately after the accident and appeared to be relatively uninjured.

However, Gage's personality underwent a dramatic change following the injury. He became impulsive, irresponsible, and prone to outbursts of anger, which were completely out of character for him before the accident. Gage's case is famous in the history of psychology because it was one of the first to suggest that damage to the frontal lobes of the brain can have significant effects on personality and behavior.

Key Terms to Review ( 27 )

Association

Case Studies

Cause and Effect

Control Group

Correlational Studies

Cross-Sectional Studies

Cross-Sectional Study

Ethical Issues

Experiments

Frontal Lobes

Generalize Results

Hawthorne Effect

Human Development Stages

Independent Variables

Longitudinal Studies

Naturalistic Observations

Personality Change

Phineas Gage

Research Methods

Response Rates

School Grades

Solomon Asch

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5 Classic Psychology Research Designs

• By Cliff Stamp, BS Psychology, MS Rehabilitation Counseling
• Published November 10, 2019
• Last Updated November 17, 2023
• Read Time 6 mins

Posted November 2019 by Clifton Stamp, B.S. Psychology; M.A. Rehabilitation Counseling, M.A. English; 10 updates since. Reading time: 5 min. Reading level: Grade 11+. Questions on psychology research designs? Email Toni at: [email protected] .

Psychology research is carried out by a variety of methods, all of which are intended to increase the fund of knowledge we have concerning human behavior. Research is a formalized, systematic way of deriving accurate and reproducible results. Research designs are the particular methods and procedures used to generate, collect and analyze information.

Research can be carried out in many different ways, but can broadly be defined as qualitative or quantitative.  Quantitative psychological research refers to research that yields outcomes that derive from statistics or mathematical modeling. Quantitative research is centered around testing objective hypotheses . It is based on empiricism and attempts to show the accuracy of a hypothesis.

Qualitative psychological research attempts to understand behavior within its natural context and setting. Qualitative psychological research uses observation, interviews, focus groups and participant observation as its most common methods.

Classic Psychology Research Designs

Research is typically focused on finding a particular answer or answers to a question or problem, logically enough called the research question. A research design is a formalized means of finding answers to a research question. Research designs create a framework for gathering and collecting information in a structured, orderly way. Five of the most common psychology research designs include descriptive, correlational, semi-experimental, experimental, review and meta-analytic designs.

Descriptive Research Designs

• Case study . Case study research involves researchers conduction a close-up look at an individual, a phenomenon, or a group in its real-world naturalistic environment. Case studies are more intrusive than naturalistic observational studies.
• Naturalistic observation . Naturalistic observation , a kind of field research, involves observing research subjects in their own environment, without any introduced external factors.  Naturalistic observation has a high degree of external validity .
• Surveys .   Everyone has taken a survey at one time or another. Surveys sample a group of individuals that are chosen to be representative of a larger population. Surveys naturally cannot research every individual in a population, thus a great deal of study is conducted to ensure that samples truly represent the populations they’re supposed to describe. Polls about public opinion, market-research surveys, public-health surveys, and government surveys are examples of mass spectrum surveys.

Correlational Research Designs

In correlational research designs, groups are studied and compared, but researchers cannot introduce variables or manipulate independent variables.

• Case-control study . A case-control study is a comparison between two groups, one of which experienced a condition while the other group did not . Case-control studies are retrospective; that is, they observe a situation that has already happened. Two groups exist that are as similar as possible, save that a hypothesized agent affected the case group. This hypothesized agent, condition or singular difference between groups is said to correlate with differences in outcomes.
• Observational study . Observational studies allow researchers to make some inferences from a group sample to an overall population. In an observational study, the independent variable cannot be controlled or modified directly. Consider a study that compares the outcomes of fetal alcohol exposure on the development of psychological disorders. It would be unethical to cause a group of fetuses to be exposed to alcohol in vivo.  Thus, two groups of individuals, as alike as possible are compared. The difference is that one group has been selected due to their exposure to alcohol during their fetal development. Researchers are not manipulating the measure of the independent variable, but they are attempting to measure its effect by group to group comparison .

Semi-Experimental Research Design

• Field experiment . A field experiment occurs in the everyday environment of the research subjects. In a field experiment, researchers manipulate an independent variable and measure changes in the tested, dependent variable. Although field experiments generalize extremely well, it’s not possible to eliminate extraneous variables. This can limit the usefulness of any conclusions.

Experimental Research Design

Experimental research is a major component of experimental psychology. In experimental psychology, researchers perform tightly controlled laboratory experiments that eliminate external, erroneous variables.  This high level of control allows experimental results to have a high degree of internal validity. Internal validity refers to the degree to which an experiment’s outcomes come from manipulations of the independent variable. On the other hand, highly controlled lab experiments may not generalize to the natural environment, precisely due to the presence of many external variables.

 Review Designs and Meta-Analysis

• Literature review . A literature review is a paper examining other experiments or research into a particular subject. Literature reviews examine research published in academic and other scholarly journals. All research starts with a search for research similar, or at least fundamentally similar, to the research question in question.
• Systematic review . A systematic review examines as much published, verified research that matches the researchers’ guidelines for a particular line of research. Systematic review involves multiple and exhaustive literature reviews. After conducting a systematic review of all other research on a topic that meets criteria, psychology researchers conduct a meta-analysis.
• Meta-analyses. Meta-analyses involve complex statistical analysis of former research to answer an overall research question.

Literature reviews and systematic reviews and meta-analyses all work together to provide psychology researchers with a big-picture view of the body of study they are investigating.

Descriptive, Correlational and Experimental Designs

All research may be thought of as having descriptive or inferential value, although there are usually aspects of both present in all research projects. Descriptive research often comes before experimental research, as examining what’s been discovered about a research topic helps guide and refine experimental research, which has a high inferential value.

Descriptive research designs include literature reviews, systematic reviews and meta-analyses. They’re able to assess and evaluate what the state of a body of knowledge is, but no experimentation is conducted. Correlational designs investigate the strength of the relationship between or among variables. Correlational studies are good for pointing out possible relationships but cannot establish causation, or a cause-and-effect relationship among variables. This leaves experimental designs. which do allow inferences to be made about cause-and-effect. Experimental designs are the most scientifically, mathematically rigorous, but that fine level of control doesn’t always extrapolate well to the world outside the lab.

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Experimental Research

27 Key Takeaways and Exercises

Key takeaways.

• An experiment is a type of empirical study that features the manipulation of an independent variable, the measurement of a dependent variable, and control of extraneous variables.
• An extraneous variable is any variable other than the independent and dependent variables. A confound is an extraneous variable that varies systematically with the independent variable.
• Experimental research on the effectiveness of a treatment requires both a treatment condition and a control condition, which can be a no-treatment control condition, a placebo control condition, or a wait-list control condition. Experimental treatments can also be compared with the best available alternative.
• Experiments can be conducted using either between-subjects or within-subjects designs. Deciding which to use in a particular situation requires careful consideration of the pros and cons of each approach.
• Random assignment to conditions in between-subjects experiments or counterbalancing of orders of conditions in within-subjects experiments is a fundamental element of experimental research. The purpose of these techniques is to control extraneous variables so that they do not become confounding variables.
• Studies are high in internal validity to the extent that the way they are conducted supports the conclusion that the independent variable caused any observed differences in the dependent variable. Experiments are generally high in internal validity because of the manipulation of the independent variable and control of extraneous variables.
• Studies are high in external validity to the extent that the result can be generalized to people and situations beyond those actually studied. Although experiments can seem “artificial”—and low in external validity—it is important to consider whether the psychological processes under study are likely to operate in other people and situations.
• There are several effective methods you can use to recruit research participants for your experiment, including through formal subject pools, advertisements, and personal appeals. Field experiments require well-defined participant selection procedures.
• It is important to standardize experimental procedures to minimize extraneous variables, including experimenter expectancy effects.
• It is important to conduct one or more small-scale pilot tests of an experiment to be sure that the procedure works as planned.
• Practice: List five variables that can be manipulated by the researcher in an experiment. List five variables that cannot be manipulated by the researcher in an experiment.
• Effect of parietal lobe damage on people’s ability to do basic arithmetic.
• Effect of being clinically depressed on the number of close friendships people have.
• Effect of group training on the social skills of teenagers with Asperger’s syndrome.
• Effect of paying people to take an IQ test on their performance on that test.
• Discussion: Imagine that an experiment shows that participants who receive psychodynamic therapy for a dog phobia improve more than participants in a no-treatment control group. Explain a fundamental problem with this research design and at least two ways that it might be corrected.
• You want to test the relative effectiveness of two training programs for running a marathon.
• Using photographs of people as stimuli, you want to see if smiling people are perceived as more intelligent than people who are not smiling.
• In a field experiment, you want to see if the way a panhandler is dressed (neatly vs. sloppily) affects whether or not passersby give him any money.
• You want to see if concrete nouns (e.g., dog) are recalled better than abstract nouns (e.g., truth).
• elderly adults
• unemployed people
• regular exercisers
• math majors
• Discussion: Imagine a study in which you will visually present participants with a list of 20 words, one at a time, wait for a short time, and then ask them to recall as many of the words as they can. In the stressed condition, they are told that they might also be chosen to give a short speech in front of a small audience. In the unstressed condition, they are not told that they might have to give a speech. What are several specific things that you could do to standardize the procedure?

Research Methods in Psychology Copyright © 2019 by Rajiv S. Jhangiani, I-Chant A. Chiang, Carrie Cuttler, & Dana C. Leighton is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Home » Supplementary Materials for Research Design: Second Edition

Worksheets and Answer Keys

• Chapter 1 Worksheet: Purposes of Research
• Chapter 1 Worksheet: Purposes of Research–Answer Key
• Chapter 2 Worksheet: Primary Ethical Issues
• Chapter 2 Worksheet: Primary Ethical Issues–Answer Key
• Chapter 3: Literature Note-Taking Index Card
• Chapter 4 Worksheet: Research Purpose Statements
• Chapter 4 Worksheet: Research Purpose Statements–Answer Key
• Chapter 4 Worksheet: Variables
• Chapter 4 Worksheet: Variables–Answer Key
• Chapter 4 Worksheet: Primary Kinds of Hypotheses
• Chapter 4 Worksheet: Primary Kinds of Hypotheses–Answer Key
• Chapter 4 Worksheet: Sampling
• Chapter 4 Worksheet: Sampling–Answer Key
• Chapter 5 Worksheet: Experiments
• Chapter 5 Worksheet: Experiments–Answer Key
• Chapter 5 Worksheet: Surveys
• Chapter 5 Worksheet: Surveys–Answer Key
• Chapter 6 Worksheet: Qualitative Research Methods
• Chapter 6 Worksheet: Qualitative Research Methods–Answer Key
• Chapter 7 Worksheet: Types of Mixed Methods Designs
• Chapter 7 Worksheet: Types of Mixed Methods Designs–Answer Key
• Chapter 8 Worksheet: Fiction
• Chapter 8 Worksheet: Fiction–Answer Key
• Chapter 8 Worksheet: Visual Art
• Chapter 8 Worksheet: Visual Art–Answer Key
• Chapter 9 Worksheet: CBPR
• Chapter 9 Worksheet: CBPR–Answer Key

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Study designs: Part 1 – An overview and classification

Priya ranganathan.

Department of Anaesthesiology, Tata Memorial Centre, Mumbai, Maharashtra, India

Rakesh Aggarwal

1 Department of Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India

There are several types of research study designs, each with its inherent strengths and flaws. The study design used to answer a particular research question depends on the nature of the question and the availability of resources. In this article, which is the first part of a series on “study designs,” we provide an overview of research study designs and their classification. The subsequent articles will focus on individual designs.

INTRODUCTION

Research study design is a framework, or the set of methods and procedures used to collect and analyze data on variables specified in a particular research problem.

Research study designs are of many types, each with its advantages and limitations. The type of study design used to answer a particular research question is determined by the nature of question, the goal of research, and the availability of resources. Since the design of a study can affect the validity of its results, it is important to understand the different types of study designs and their strengths and limitations.

There are some terms that are used frequently while classifying study designs which are described in the following sections.

A variable represents a measurable attribute that varies across study units, for example, individual participants in a study, or at times even when measured in an individual person over time. Some examples of variables include age, sex, weight, height, health status, alive/dead, diseased/healthy, annual income, smoking yes/no, and treated/untreated.

Exposure (or intervention) and outcome variables

A large proportion of research studies assess the relationship between two variables. Here, the question is whether one variable is associated with or responsible for change in the value of the other variable. Exposure (or intervention) refers to the risk factor whose effect is being studied. It is also referred to as the independent or the predictor variable. The outcome (or predicted or dependent) variable develops as a consequence of the exposure (or intervention). Typically, the term “exposure” is used when the “causative” variable is naturally determined (as in observational studies – examples include age, sex, smoking, and educational status), and the term “intervention” is preferred where the researcher assigns some or all participants to receive a particular treatment for the purpose of the study (experimental studies – e.g., administration of a drug). If a drug had been started in some individuals but not in the others, before the study started, this counts as exposure, and not as intervention – since the drug was not started specifically for the study.

Observational versus interventional (or experimental) studies

Observational studies are those where the researcher is documenting a naturally occurring relationship between the exposure and the outcome that he/she is studying. The researcher does not do any active intervention in any individual, and the exposure has already been decided naturally or by some other factor. For example, looking at the incidence of lung cancer in smokers versus nonsmokers, or comparing the antenatal dietary habits of mothers with normal and low-birth babies. In these studies, the investigator did not play any role in determining the smoking or dietary habit in individuals.

For an exposure to determine the outcome, it must precede the latter. Any variable that occurs simultaneously with or following the outcome cannot be causative, and hence is not considered as an “exposure.”

Observational studies can be either descriptive (nonanalytical) or analytical (inferential) – this is discussed later in this article.

Interventional studies are experiments where the researcher actively performs an intervention in some or all members of a group of participants. This intervention could take many forms – for example, administration of a drug or vaccine, performance of a diagnostic or therapeutic procedure, and introduction of an educational tool. For example, a study could randomly assign persons to receive aspirin or placebo for a specific duration and assess the effect on the risk of developing cerebrovascular events.

Descriptive versus analytical studies

Descriptive (or nonanalytical) studies, as the name suggests, merely try to describe the data on one or more characteristics of a group of individuals. These do not try to answer questions or establish relationships between variables. Examples of descriptive studies include case reports, case series, and cross-sectional surveys (please note that cross-sectional surveys may be analytical studies as well – this will be discussed in the next article in this series). Examples of descriptive studies include a survey of dietary habits among pregnant women or a case series of patients with an unusual reaction to a drug.

Analytical studies attempt to test a hypothesis and establish causal relationships between variables. In these studies, the researcher assesses the effect of an exposure (or intervention) on an outcome. As described earlier, analytical studies can be observational (if the exposure is naturally determined) or interventional (if the researcher actively administers the intervention).

Directionality of study designs

Based on the direction of inquiry, study designs may be classified as forward-direction or backward-direction. In forward-direction studies, the researcher starts with determining the exposure to a risk factor and then assesses whether the outcome occurs at a future time point. This design is known as a cohort study. For example, a researcher can follow a group of smokers and a group of nonsmokers to determine the incidence of lung cancer in each. In backward-direction studies, the researcher begins by determining whether the outcome is present (cases vs. noncases [also called controls]) and then traces the presence of prior exposure to a risk factor. These are known as case–control studies. For example, a researcher identifies a group of normal-weight babies and a group of low-birth weight babies and then asks the mothers about their dietary habits during the index pregnancy.

Prospective versus retrospective study designs

The terms “prospective” and “retrospective” refer to the timing of the research in relation to the development of the outcome. In retrospective studies, the outcome of interest has already occurred (or not occurred – e.g., in controls) in each individual by the time s/he is enrolled, and the data are collected either from records or by asking participants to recall exposures. There is no follow-up of participants. By contrast, in prospective studies, the outcome (and sometimes even the exposure or intervention) has not occurred when the study starts and participants are followed up over a period of time to determine the occurrence of outcomes. Typically, most cohort studies are prospective studies (though there may be retrospective cohorts), whereas case–control studies are retrospective studies. An interventional study has to be, by definition, a prospective study since the investigator determines the exposure for each study participant and then follows them to observe outcomes.

The terms “prospective” versus “retrospective” studies can be confusing. Let us think of an investigator who starts a case–control study. To him/her, the process of enrolling cases and controls over a period of several months appears prospective. Hence, the use of these terms is best avoided. Or, at the very least, one must be clear that the terms relate to work flow for each individual study participant, and not to the study as a whole.

Classification of study designs

Figure 1 depicts a simple classification of research study designs. The Centre for Evidence-based Medicine has put forward a useful three-point algorithm which can help determine the design of a research study from its methods section:[ 1 ]

Classification of research study designs

• Does the study describe the characteristics of a sample or does it attempt to analyze (or draw inferences about) the relationship between two variables? – If no, then it is a descriptive study, and if yes, it is an analytical (inferential) study
• If analytical, did the investigator determine the exposure? – If no, it is an observational study, and if yes, it is an experimental study
• If observational, when was the outcome determined? – at the start of the study (case–control study), at the end of a period of follow-up (cohort study), or simultaneously (cross sectional).

In the next few pieces in the series, we will discuss various study designs in greater detail.

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Lesson idea: Understanding research methods (with worksheet)

Travis Dixon May 2, 2018 Research Methodology

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Research methodology is best understood when it’s made concrete and practical. Talking about concepts in the abstract will make it hard for students to comprehend. So this lesson idea is a simple way of getting students to think about research methods in a practical way. It will only work towards the end of a research methods unit when they already know the methods – the activity helps to consolidate and deepen their understanding.

This activity would work well for a review activity for IB Psychology’s Paper 3.

This lesson is a good “hangover helper” – it takes no prep time, minimal explanation, maximum student on-task time and you can sit and sip a coffee, nurse a headache, while still causing learning.

Step One: Choose A Topic

Working in groups, students need to decide on a general topic of study that is interesting to them. This could be provided by the teacher and/or they come up with the topics themselves. If you want to provide the list for students, think of topics that students might be genuinely interested in.

• Neuroplasticity
• Cultural differences in … (insert behaviour)
• Immigration

Step Two: Devise a research question

From a chosen topic, students figure out a specific  research question that they would like to answer about that topic.

E.g. Does the amount of time on social media affect grades?

Tip : Basically,  any  topic will be fine, but if you have an unmotivated class you might want to give them a more specific topic or even the question. e.g. does single parenting affects achievement in school? Does Facebook cause anxiety? etc.

Step Three: How would you gather data to answer your question?

Still working in groups, students discuss which method they would use to answer their question. They could begin by choosing whether to apply quantitative methodology or qualitative methodology. After this, they can be more specific.

Tip : If they’re struggling, get them to see if they’re studying the relationship between variables, or something more general about behaviour. If the former, they’re best to use a quantitative method and if the latter, a qualitative one.

Step Four: Evaluate

Students make a list of strengths and limitations of applying their chosen method to answer the question.

Step Five: The Alternative

Students should now alter their research question so that it would make more since to apply a different methodology. For example, if they chose a quantitative method the first time, how would they alter their research question so that a qualitative method would make more sense. They then discuss which method they would go with and why.

Fasts Finishers? An extension could be to do the same individually and choose their own topic.

Step Six: Collate

Collate the answers from the groups on the whiteboard. I use a data projector and type in a word doc’ table with qualitative down one side and quantitative down the other. We’re collating the research questions and the methods used for each.

Step Seven: Compare and Contrast – Written Summary (Check-in)

In order to see if students learned anything about methodology, I get them to write a summary of what they notice about the similarities with those that chose a quantitative method and those that chose qualitative methods.

Hopefully,  they’ll identify the fact that quant’ methods focus on questions about relationships between variables and qual’ methods generally focus on more general questions about understanding people’s experiences of behaviour. I also explain this difference in the follow-up lesson.

I’m not going to lie – this lesson won’t get you any teacher-of-the-year award nominations, but it gets the job done.

Download the worksheets here:

(download pdf worksheet here), (download word worksheet here).

Travis Dixon is an IB Psychology teacher, author, workshop leader, examiner and IA moderator.

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Research Design – Types, Methods and Examples

Table of Contents

Research Design

Definition:

Research design refers to the overall strategy or plan for conducting a research study. It outlines the methods and procedures that will be used to collect and analyze data, as well as the goals and objectives of the study. Research design is important because it guides the entire research process and ensures that the study is conducted in a systematic and rigorous manner.

Types of Research Design

Types of Research Design are as follows:

Descriptive Research Design

This type of research design is used to describe a phenomenon or situation. It involves collecting data through surveys, questionnaires, interviews, and observations. The aim of descriptive research is to provide an accurate and detailed portrayal of a particular group, event, or situation. It can be useful in identifying patterns, trends, and relationships in the data.

Correlational Research Design

Correlational research design is used to determine if there is a relationship between two or more variables. This type of research design involves collecting data from participants and analyzing the relationship between the variables using statistical methods. The aim of correlational research is to identify the strength and direction of the relationship between the variables.

Experimental Research Design

Experimental research design is used to investigate cause-and-effect relationships between variables. This type of research design involves manipulating one variable and measuring the effect on another variable. It usually involves randomly assigning participants to groups and manipulating an independent variable to determine its effect on a dependent variable. The aim of experimental research is to establish causality.

Quasi-experimental Research Design

Quasi-experimental research design is similar to experimental research design, but it lacks one or more of the features of a true experiment. For example, there may not be random assignment to groups or a control group. This type of research design is used when it is not feasible or ethical to conduct a true experiment.

Case Study Research Design

Case study research design is used to investigate a single case or a small number of cases in depth. It involves collecting data through various methods, such as interviews, observations, and document analysis. The aim of case study research is to provide an in-depth understanding of a particular case or situation.

Longitudinal Research Design

Longitudinal research design is used to study changes in a particular phenomenon over time. It involves collecting data at multiple time points and analyzing the changes that occur. The aim of longitudinal research is to provide insights into the development, growth, or decline of a particular phenomenon over time.

Structure of Research Design

The format of a research design typically includes the following sections:

• Introduction : This section provides an overview of the research problem, the research questions, and the importance of the study. It also includes a brief literature review that summarizes previous research on the topic and identifies gaps in the existing knowledge.
• Research Questions or Hypotheses: This section identifies the specific research questions or hypotheses that the study will address. These questions should be clear, specific, and testable.
• Research Methods : This section describes the methods that will be used to collect and analyze data. It includes details about the study design, the sampling strategy, the data collection instruments, and the data analysis techniques.
• Data Collection: This section describes how the data will be collected, including the sample size, data collection procedures, and any ethical considerations.
• Data Analysis: This section describes how the data will be analyzed, including the statistical techniques that will be used to test the research questions or hypotheses.
• Results : This section presents the findings of the study, including descriptive statistics and statistical tests.
• Discussion and Conclusion : This section summarizes the key findings of the study, interprets the results, and discusses the implications of the findings. It also includes recommendations for future research.
• References : This section lists the sources cited in the research design.

Example of Research Design

An Example of Research Design could be:

Research question: Does the use of social media affect the academic performance of high school students?

Research design:

• Research approach : The research approach will be quantitative as it involves collecting numerical data to test the hypothesis.
• Research design : The research design will be a quasi-experimental design, with a pretest-posttest control group design.
• Sample : The sample will be 200 high school students from two schools, with 100 students in the experimental group and 100 students in the control group.
• Data collection : The data will be collected through surveys administered to the students at the beginning and end of the academic year. The surveys will include questions about their social media usage and academic performance.
• Data analysis : The data collected will be analyzed using statistical software. The mean scores of the experimental and control groups will be compared to determine whether there is a significant difference in academic performance between the two groups.
• Limitations : The limitations of the study will be acknowledged, including the fact that social media usage can vary greatly among individuals, and the study only focuses on two schools, which may not be representative of the entire population.
• Ethical considerations: Ethical considerations will be taken into account, such as obtaining informed consent from the participants and ensuring their anonymity and confidentiality.

How to Write Research Design

Writing a research design involves planning and outlining the methodology and approach that will be used to answer a research question or hypothesis. Here are some steps to help you write a research design:

• Define the research question or hypothesis : Before beginning your research design, you should clearly define your research question or hypothesis. This will guide your research design and help you select appropriate methods.
• Select a research design: There are many different research designs to choose from, including experimental, survey, case study, and qualitative designs. Choose a design that best fits your research question and objectives.
• Develop a sampling plan : If your research involves collecting data from a sample, you will need to develop a sampling plan. This should outline how you will select participants and how many participants you will include.
• Define variables: Clearly define the variables you will be measuring or manipulating in your study. This will help ensure that your results are meaningful and relevant to your research question.
• Choose data collection methods : Decide on the data collection methods you will use to gather information. This may include surveys, interviews, observations, experiments, or secondary data sources.
• Create a data analysis plan: Develop a plan for analyzing your data, including the statistical or qualitative techniques you will use.
• Consider ethical concerns : Finally, be sure to consider any ethical concerns related to your research, such as participant confidentiality or potential harm.

When to Write Research Design

Research design should be written before conducting any research study. It is an important planning phase that outlines the research methodology, data collection methods, and data analysis techniques that will be used to investigate a research question or problem. The research design helps to ensure that the research is conducted in a systematic and logical manner, and that the data collected is relevant and reliable.

Ideally, the research design should be developed as early as possible in the research process, before any data is collected. This allows the researcher to carefully consider the research question, identify the most appropriate research methodology, and plan the data collection and analysis procedures in advance. By doing so, the research can be conducted in a more efficient and effective manner, and the results are more likely to be valid and reliable.

Purpose of Research Design

The purpose of research design is to plan and structure a research study in a way that enables the researcher to achieve the desired research goals with accuracy, validity, and reliability. Research design is the blueprint or the framework for conducting a study that outlines the methods, procedures, techniques, and tools for data collection and analysis.

Some of the key purposes of research design include:

• Providing a clear and concise plan of action for the research study.
• Ensuring that the research is conducted ethically and with rigor.
• Maximizing the accuracy and reliability of the research findings.
• Minimizing the possibility of errors, biases, or confounding variables.
• Ensuring that the research is feasible, practical, and cost-effective.
• Determining the appropriate research methodology to answer the research question(s).
• Identifying the sample size, sampling method, and data collection techniques.
• Determining the data analysis method and statistical tests to be used.
• Facilitating the replication of the study by other researchers.
• Enhancing the validity and generalizability of the research findings.

Applications of Research Design

There are numerous applications of research design in various fields, some of which are:

• Social sciences: In fields such as psychology, sociology, and anthropology, research design is used to investigate human behavior and social phenomena. Researchers use various research designs, such as experimental, quasi-experimental, and correlational designs, to study different aspects of social behavior.
• Education : Research design is essential in the field of education to investigate the effectiveness of different teaching methods and learning strategies. Researchers use various designs such as experimental, quasi-experimental, and case study designs to understand how students learn and how to improve teaching practices.
• Health sciences : In the health sciences, research design is used to investigate the causes, prevention, and treatment of diseases. Researchers use various designs, such as randomized controlled trials, cohort studies, and case-control studies, to study different aspects of health and healthcare.
• Business : Research design is used in the field of business to investigate consumer behavior, marketing strategies, and the impact of different business practices. Researchers use various designs, such as survey research, experimental research, and case studies, to study different aspects of the business world.
• Engineering : In the field of engineering, research design is used to investigate the development and implementation of new technologies. Researchers use various designs, such as experimental research and case studies, to study the effectiveness of new technologies and to identify areas for improvement.

Advantages of Research Design

Here are some advantages of research design:

• Systematic and organized approach : A well-designed research plan ensures that the research is conducted in a systematic and organized manner, which makes it easier to manage and analyze the data.
• Clear objectives: The research design helps to clarify the objectives of the study, which makes it easier to identify the variables that need to be measured, and the methods that need to be used to collect and analyze data.
• Minimizes bias: A well-designed research plan minimizes the chances of bias, by ensuring that the data is collected and analyzed objectively, and that the results are not influenced by the researcher’s personal biases or preferences.
• Efficient use of resources: A well-designed research plan helps to ensure that the resources (time, money, and personnel) are used efficiently and effectively, by focusing on the most important variables and methods.
• Replicability: A well-designed research plan makes it easier for other researchers to replicate the study, which enhances the credibility and reliability of the findings.
• Validity: A well-designed research plan helps to ensure that the findings are valid, by ensuring that the methods used to collect and analyze data are appropriate for the research question.
• Generalizability : A well-designed research plan helps to ensure that the findings can be generalized to other populations, settings, or situations, which increases the external validity of the study.

Research Design Vs Research Methodology

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EXPERIMENTAL DESIGN - AQA Psychology research methods FULL LESSON

Subject: Psychology

Age range: 16+

Resource type: Other

Last updated

11 November 2022

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This includes a powerpoint detailing notes for experimental designs. I usually only get them to take notes on the description of each design and then they do the card sort to get the evaluation for each.

I use the experiment resources to demonstrate the differences in the designs and also to get them thinking about the strengths and weaknesses. Words vs Pictures for repeated measures and then the long and short words memory test for independent groups (instructions on ppt and in notes under ppt slides).

2 sets of exam questions included - one can be for the lesson and one for homework. These assume some prior lessons have been completed on variables, pilot studies and types of experiments.

Also uploaded my types of experiments lesson

Tes paid licence How can I reuse this?

Get this resource as part of a bundle and save up to 11%

A bundle is a package of resources grouped together to teach a particular topic, or a series of lessons, in one place.

Research Methods Year 1 lessons - AQA Psychology

This bundle includes all of the 9 lessons I have uploaded for AS AQA Psychology research methods and Revision resources too. It includes powerpoints for all and then worksheets and some exam questions. Includes: Variables Experiments Experimental Design Correlations Observations Aims and Hypotheses Sampling Methods Data and Maths Significance and Sign Test There is a second year revision and new lessons bundle too: https://www.tes.com/teaching-resource/aqa-psychology-research-methods-year-2-full-lessons-and-revision-resources-11780438

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nesrine6789

hi can you please give some guidance on how you got the class to do the pictures and words experiment. instructions would be helpful please.

Hi there are instructions on the ppt and in the notes underneath the slides on the ppt.<br /> For Repeated measures they are given the pictures to look at and learn then have to recall them, then the same students given the words to memorise and then recall. For independent groups the class is split into two halves and one half get long words to memorise and other class get short words to memorise and recall.

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Learning Outcomes

Worksheets and lectures.

• Identifying Hypotheses, Research Strategies, Methods, Variables, and Validity (worksheet)
• Identifying Threats to Internal Validity (worksheet)
• Identifying Research Strategies, Hypotheses, and Operational Definitions (worksheet)
• Identifying Research Strategies, Hypotheses, and Variables (worksheet)
• Identifying Sampling Methods (worksheet)

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May 23, 2024

ArtSci Roundup: 53rd Psychology Research Festival, Undergraduate Senior Essay Symposium, Design Show, and more

This week, attend the 53rd Annual Psychology Research Festival, check out the Department of Classics’ Undergraduate Senior Essay Symposium, a Design Show from graduating seniors in the School of Art + Art History + Design, and more.

May 27 – 31, UW Innovation Month

Innovation Month is a campus-wide celebration of the innovative work that happens everywhere at UW, every day, across disciplines. It highlights students and researchers who are entrepreneurs, designers, engineers, scientists, artists, and other leaders who are constantly imagining new heights in their fields. Join events to gain insights into the latest trends in academia and industry and build your network with others who share your passion and drive for impact.

Free | More info

May 28, 7:30 pm | Wind Ensemble and Symphonic Band: Timeless, Meany Hall

The UW Wind Ensemble, led by Director Timothy Salzman and Symphonic Band, led by Director Shaun Day, present “Timeless,” performing music by Ottorino Respighi. Huck Hodge, David Maslanka, and Cindy McTee will be performing as well.

Tickets | More info & Buy Tickets

The Psychology Research Festival has been part of the graduate program for over 50 years. This activity culminates in a formal presentation of work at the annual Psychology Department Research Festival, held at the end of Spring Quarter. Clinical students present at the end of their second year in the program. All other students present at the end of their first year.

Join The Henry M. Jackson School of International Studies for an online talk and Q&A featuring Dr. James Shires, a researcher and educator in politics, security, and technology, in conversation with James Long, Political Science, University of Washington. Moderator: Jessica Beyer, Jackson School of International Studies, University of Washington. This lecture is the final session of the Jackson School’s Global Perspectives on Cyber, Scientific Research, Technology & Space Spring Lecture Series.

Free | More info & Registration  

May 29, 7:00 – 9:00 pm | Denny Lecture: Black Power and Solidarity on Campus and Beyond, Museum of History & Industry (MOHAI)

Free | More info & Registration

May 29 – 31, 7:30 pm | Jazz Innovations Part 1 & Part 2,   Brechemin Auditorium

Small combos perform original music and arrangements of jazz standards, modern classics, and deep cuts from the popular music repertoire over two consecutive nights of performance.

May 30, 5:00 pm | Chamber Music Showcase, Brechemin Auditorium

Student chamber groups coached by UW Strings faculty perform an end-of-quarter recital.

The School of Art + Art History + Design presents Another Day at The Orifice: 2024 MFA Thesis Exhibition running from May 28 through June 9 at RailSpur (Top Floor). Another Day at The Orifice features the cumulative thesis work of eight graduates receiving a Master of Fine Arts degree in Photo/Media, Painting + Drawing, and 3D4M: ceramics + glass + sculpture.

Join the Department of Classics’ undergraduate senior essay symposium. The symposium will be joined by senior essays and senior thesis writers for an informal discussion of their research in a round table format.

May 31, 7:30 pm | UW Symphony with UW Choirs: “What a Wonderful World”, Meany Hall

Geoffrey Boers leads this year-end program by the University of Washington Symphony, led by David Alexander Rahbee, and combined UW Choirs.    

The UW Composition program presents a year-end concert of works by undergraduate composers.

June 2, 10:00 am – 5:00 pm | Dino Fest, Burke Museum

Hear about groundbreaking research from Burke and UW scientists, enjoy hundreds of specimens from the Burke’s collection, and celebrate all things fossilized with fossil digs, ancient animal identification, microfossil sorting, crafts, and more.

June 2, 3:00 pm | Cello Studio Recital, Brechemin Auditorium

Cello students of Sarah Rommel perform a year-end studio recital.

Have an event that you would like to see featured in the ArtSci Roundup? Connect with Kathrine Braseth ([email protected]).

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