PSYC08H3 Study Guide - Midterm Guide: Type I And Type Ii Errors, Null Hypothesis, A Priori And A Posteriori

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Structural model includes the grand mean, the error and the treatment effect: the anova splits this up and takes into account two variances, one that involves error and treatment effect, and another that just involves error. If the variances are not homogenous, then there may be a confounding factor for one or more of the groups. A priori means you decide which comparisons to make before carrying out the experiment: the theory drives the hypothesis. Post hoc means you decide which comparisons to make after seeing the data: the data drives the hypothesis. Type i error means rejecting a true null hypothesis: this is tied to your . o. If your is 0. 05, your chance of making a type i error is 0. 05. Type ii error means failing to reject a false null hypothesis: as power decreases, your chance of making a type ii error increases. L and psi represent the same thing - linear contrast.