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- Students who have fallen behind in understanding the advantages and disadvantages of various experiment designs
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Students will review:
This chapter helps students review the concepts in an experimental design unit of a standard research methods in psychology course. Topics covered include:
- Random assignment in research
- The uses of control groups in research
- Between- and within-subjects designs
- Two-group experiment designs
- Matched group design
- Multiple group design
- Factorial design variations
- Interactions and main effects in factorial experiment design
- Multivariate experimental design
- Carryover effects and counterbalancing
- ABA and multiple-baseline designs
1. Between-Subjects Designs: Definition & Examples
Many times in research, a psychologist wants to look at two or more groups to see which condition works best. In this lesson, we'll look at some of the strengths and weaknesses of the between-subjects design and how to form equivalent groups.
2. Random Assignment in Research: Definition and Importance
In order to get the most accurate results, researchers must choose and assign their subjects in a random manner. In this lesson, we'll look at random assignment, random selection, and why they are important.
3. What is a Control Group? - Definition and Use in Research
In research, many times a condition is compared to a group that doesn't receive treatment. In this lesson, we'll look at what a control group is and why it is important.
4. Two-Group Experimental Designs: Definition & Examples
How does a researcher know if their treatment has an effect or not? In this lesson, we'll look at two-group experimental designs, contrast control and treatment groups, and examine random assignment and matched groups.
5. Matched-Group Design: Definition & Examples
Choosing how to divide subjects into groups is a major part of experimental design. In this lesson, we'll look at a type of non-random assignment, matched-group design, and its strengths and limitations.
6. Multiple Group Design: Definition & Examples
What happens when a researcher has many groups in their study? In this lesson, we'll look closer at multiple-group design, including multiple-group design with independent groups and multiple-group design with correlated groups.
7. What is Factorial Design? - Definition & Example
The simplest studies involve one independent and one dependent variable. But what happens when a researcher wants to study more than one independent variable? In this lesson, we'll look closer at factorial design in research.
8. Factorial Design Variations
When a study has more than one factor, it is called a factorial design. In this lesson, we'll go through different variations on factorial designs, including those involving factor levels and those involving between- or within-groups measurement.
9. Interactions in Factorial Design
When a study has a factorial design, the two independent variables can interact with each other to affect the dependent variable. In this lesson, we'll look at what interactions are, what they look like, and what a crossover interaction is.
10. Main Effects in Factorial Design
When you have more than one independent variable, sometimes you want to look at how they work independent of each other. In this lesson, we'll examine main effects in factorial design and how they differ from interactions.
11. Multivariate Experimental Design
Most research studies only have one dependent variable. But what if a researcher wants to study more than one dependent variable? In this lesson, we'll look at multivariate research designs and how they differ from factorial designs.
12. Within-Subject Designs: Definition, Types & Examples
Sometimes a researcher wants to look at how each subject does at different points during a study. In this lesson, we'll look at some of the strengths and weaknesses of a within-subjects design and how to counterbalance subjects for a stronger study.
13. Carryover Effects & How They Can Be Controlled Through Counterbalancing
Within-subjects research has a lot of advantages, but one disadvantage is the possibility of carryover effects. In this lesson, we'll examine carryover effects and how they can be controlled through a counterbalanced design.
14. Small n Designs: ABA & Multiple-Baseline Designs
When planning a study, the size of the sample can influence the results of the study. To get around this, some researchers choose a research design specifically meant for small sample sizes. In this lesson, we'll look at some small 'n' designs.
15. Advantages & Disadvantages of Various Experimental Designs
There are many different options for researchers when deciding how to run a study. In this lesson, we'll look at some of the advantages and disadvantages of some common experimental designs.
16. Quasi-Experiment in Psychology: Definition & Example
In this lesson, you will learn to define the term 'quasi-experiment' and also learn why it is used in research. Following the completion of the lesson, you will have an opportunity to test your knowledge with a short quiz.
17. Controlled Experiment: Definition, Parts & Examples
Scientific studies are often made via controlled experiments, which are essential to confirming the validity of the experimental results. In this lesson, you'll learn more about controlled experiments.
18. Control Group: Definition & Explanation
A control group is used in an experiment to establish its validity. It is the group to which no treatment is administered. Learn more about how a control group works in this lesson.
19. True Experiment: Definition & Examples
A true experiment is thought to be the most accurate experimental research design. Learn more about true experiments from examples and test your knowledge with a quiz.
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Other chapters within the Research Methods in Psychology: Help and Review course
- Introduction to Research Methods: Help and Review
- Principles of Ethical Research: Help and Review
- Setting Up the Research Study: Help and Review
- Data Collection Techniques in Psychology: Help and Review
- Nonexperimental Research: Help and Review
- Qualitative Research Methods and Design: Help and Review
- Quasi-Experimental Research: Help and Review
- Sampling and Generalization: Help and Review
- Measurement in Research: Help and Review
- Internal Validity in Research: Help and Review
- External Validity: Help and Review
- Descriptive Statistics in Psychology: Help and Review
- Inferential Statistics in Psychology: Help and Review
- Evaluating Research Findings: Help and Review
- Ethics in Counselor-Supervisor Relationships