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Chapter 14

PSYC202 Chapter 14 Repeated Measures ANOVA.docx

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Department
Psychology
Course
PSYC 202
Professor
Ronald R Holden
Semester
Fall

Description
PSYC202 Chapter 14: Repeated Measures Analysis of Variance (ANOVA) 14.1 Overview ­ Individual differences do not play a role in treatment effect differences because the  same individuals are being used ­ denominator in F ratio measures how much difference is reasonable to expect from  random, unsystematic factors 14.2 Testing Hypotheses with the Repeated Measures ANOVA ­ First, calculate between and within variance regularly ­ Subtract between­subject variance (individual difference) from within treatment  variance (‘error variance’) ­ Error Variance: in repeated measures ANOVA, the denominator of the F­Ratio, and  measures how much variance is expected if there are no systematic treatment effects and  no individual differences contributing to the variability of the scores ­SS between subjects P – G 2 where P = person totals (p.452) k N ­ SS error SS within treatments  between subjects ­ df calculated same as before = (df , df ) between treatmeerror ­ dfbetween subjects 1 ­ df  = df – df error within treatmentsbetween subjects ­ MS error SS error        df error ­ F =
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