Post-hoc tests, multiple comparisons, contrasts and handling interactions
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If you have a question about this talk, please contact Ian Nimmo-Smith.
Why do we use follow-up tests?
Different ways to follow up an ANOVA
Planned vs. Post Hoc Tests
Choosing and Coding Contrasts
Handling Interactions
Standard Errors of Differences
Multiple t-tests
Post Hoc Tests
Trend Analysis
Unpacking interactions
Multiple Comparisons: Watch your Error Rate!
Post-Hoc vs A Priori Hypotheses
Comparisons and Contrasts
Family-wise (FW) error rate
Experimentwise error rate
Orthogonal Contrasts or Comparisons
Planned Comparisons vs. Post Hoc Comparisons
Orthogonal Contrasts/Comparisons
Planned Comparisons or Contrasts
Contrasts in GLM
Post Hoc Tests
Control of False Discovery Rate (FDR)
Simple Main Effects
This talk is part of the Statistical Methods for Cognitive Psychologists series.
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