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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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