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The General Linear Model and complex designs including Analysis of Covariance

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If you have a question about this talk, please contact Ian Nimmo-Smith.

GLM and Simple Linear Regression The Design Matrix Least Squares ANOVA and GLM Types of Sums of Squares Multiple Regression as GLM Multiple Regression as a sequence of GLMs in SPSS The two Groups t-test as a GLM One-way ANOVA as GLM Multi-factor Model Additive (no interaction) Non-additive (interaction) Analysis of Covariance Simple regression 1 intercept 1 slope Parallel regressions multiple intercepts 1 slope Non-parallel regressions multiple intercepts multiple slopes Sequences of GLMs in ANCOVA

This talk is part of the Statistical Methods for Cognitive Psychologists series.

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