PSYC 3430- Midterm Exam Guide - Comprehensive Notes for the exam ( 122 pages long!)

• School: York University
• Department: Psychology
• Course: PSYC 3430
• Professor: Peter K Papadogiannis

Document Summary

Instructor notes - chapter 18 - page 275. 13. 3 hypothesis testing and effect size with the repeated-measures anova. Calculation of the variances (ms values) and the f-ratio. In the literature - reporting the results of a repeated-measures anova. Individual differences and the consistency of the treatment effects. Learning objectives and chapter summary: students should understand the logic underlying the analysis of variance for a repeated- measures study. The denominator of the f-ratio is intended to measure differences (or variance) that occur simply by chance. These chance differences are the unsystematic, unpredictable differences that are not caused by a treatment effect or some other systematic and predictable source. In an independent-measures study where every score comes from a different person, the naturally occurring differences from one person to another (individual differences) are unpredictable and are included in the category of chance or error variance. In a repeated-measures study, however, the differences from one person to another are often systematic and predictable.