Full course description
Date & Time: Self-Paced
Location: Online Only
Presented By: Higher Ed Plus
Description:
This course provides a comprehensive introduction to analyzing differences across more than two dependent sample means using repeated measures ANOVA. Participants will review the assumptions of repeated measures ANOVA, including compound symmetry and sphericity, and learn how to address violations of these assumptions. The course includes step-by-step instruction on conducting repeated measures ANOVA in SPSS, applying Bonferroni corrections for post-hoc testing, and performing power analyses using G*Power. Learners will also calculate and interpret key effect sizes such as partial eta-squared, partial omega-squared, effect size f, and Cohen’s d.
Disclaimer:
Before proceeding with this Canvas module, please note:
● The following content is provided by HigherEd+ from Publication Academy. The views and opinions expressed may not reflect those of Virginia Tech or its affiliates.