Summary
Contents
Subject index
This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.
Analyzing Two or More Influences on Behavior : Factorial Designs for Two Between-Subjects Factors
Analyzing Two or More Influences on Behavior : Factorial Designs for Two Between-Subjects Factors
After reading this chapter, you will be able to
- Differentiate between a one-way and a two-way ANOVA
- Interpret the conceptual ingredients of the two-way, between-subjects ANOVA
- Distinguish unique ingredients of a two-way, as opposed to a one-way, between-subjects ANOVA
- Interpret an APA style presentation of a two-way, between-subjects ANOVA
- Hand-calculate all ingredients for a two-way, between-subjects ANOVA
- Conduct and interpret a two-way, between-subjects ANOVA using SPSS
In the previous four chapters, we discussed how to analyze data when we have one factor (i.e., one independent variable) influencing behavior or cognitions. Of course, behaviors and cognitions often have more than one factor influencing them. As I think about what to have for dinner tonight, I consider what food ...
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