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- Provide examples of between-subject designs.
- Explain the importance of random assignment in research.
- Understand the purpose of control groups in research.
- Provide examples of two-group experimental designs, matched group designs and multiple group designs.
- Define factorial design and describe its variations.
- Learn what interactions in factorial design research mean.
- Compare and contrast main effects and interactions in factorial design.
- List the main features of multivariate experimental designs.
- Explore different types of within-subject designs.
- Explain how carryover effects can be controlled through counterbalancing.
- Discuss small n designs.
- Examine the pros and cons of various types of experimental 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.
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Other chapters within the Research Methods in Psychology: Tutoring Solution course
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- Qualitative Research Methods and Design: Tutoring Solution
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- Sampling and Generalization: Tutoring Solution
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- Descriptive Statistics in Psychology: Tutoring Solution
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