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Choosing the Right Research Design: One-Way, Factorial, and Mixed-Model Designs

This chapter discusses different research designs, including one-way, factorial, and mixed-model designs. It covers the basics of each design, their advantages and disadvantages, as well as solutions to common problems. Topics such as main effects, interactions, within-subjects designs, between-subjects designs, and mixed-model designs are also explored.

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Choosing the Right Research Design: One-Way, Factorial, and Mixed-Model Designs

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  1. Chapter 9 Choosing the right research design

  2. One-Way Designs • One independent variable • Two groups at a minimum • One-way, multiple-groups design

  3. Factorial Designs • Ins and outs of factorial designs • Main effects • Interactions

  4. Within-Subjects Designs • Between-subjects versus within-subjects • “Repeated measures” design • Advantages of within-subjects designs • Disadvantages of within-subjects designs • Solutions to problems of within-subjects designs

  5. Mixed-Model Designs • At least one independent variable is manipulated between-subjects • At least one independent variable is manipulated within-subjects

  6. One-way design Two-groups design One-way, multiple-groups design Levels of an independent variable Factorial design Main effect Interaction Ordinal (spreading) interaction Disordinal (crossover) interaction Simple effects test Between-subjects design Within-subjects design Repeated measures Key Terms from Chapter 9

  7. Sequence effects Carryover effects Order effects Practice effects Interference effects Counterbalancing Reverse counterbalancing Partial counterbalancing Latin square design Structured debriefing Mixed-model designs Key Terms from Chapter 9

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