'Simple effects' presentation slideshows

Factorial ANOVA

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Unit 16: Inferences about Two Dichotomous Predictors and their Interaction

Unit 16: Inferences about Two Dichotomous Predictors and their Interaction. Learning Objectives. For models with dichotomous intendant variables, you will learn: Basic terminology from ANOVA framework How to identify main effects, simple effects and interactions in table of means and figures

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Lab3: writing up results and ANOVAs with within and between factors

Lab3: writing up results and ANOVAs with within and between factors. Should be able to answer:. What are the independent and dependent variables? Are the conditions of application met? Compound symmetry? Sphericity ?. Conditions of application. Normality:

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Describing Factorial Effects

Describing Factorial Effects. Kinds of means & kinds of effects Inspecting tables to describe factorial data patterns Inspecting line graphs to describe factorial data patterns Inspecting bar graphs to describe factorial data patterns Choosing among tables & graphs

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Issues in factorial design

Issues in factorial design. No main effects but interaction present. Can I have a significant interaction without significant main effects? Yes Consider the following table of means. No main effects but interaction present.

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Observational Data

Observational Data. Time Interval = 20 secs. Factorial Analysis of Variance. What is a factorial design? Main effects Interactions Simple effects Magnitude of effect. Cont. What is a Factorial. At least two independent variables All combinations of each variable R X C factorial Cells.

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More repeated measures

More repeated measures. More complex repeated measures. As with our between groups ANOVA, we can also have more than one repeated measures factor 2-way repeated measures. Two way repeated measures. Remember that a two factor ANOVA produces three elements of interest

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FACTORIAL DESIGNS

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Mixed Factorial Analysis of Variance

PSY 4603 Research Methods. Mixed Factorial Analysis of Variance. Two-Between, One-Within ANOVA. The basic theory of repeated-measures analysis of variance has already been described in the discussion of the previous designs.

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CPSY 501: Class 8, Oct. 26

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Simple Effects And Factorial Design Hypotheses

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Informative Speech

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Supplemental regarding simple effects

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