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When I have a binary outcome variable and a binary predictor, I am able to calculate the sample size needed using either G*Power (under z tests -- logistic regression) or R (wp.logistic). However,...
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If you have two or more correlated predictors in a multiple regression, it's possible to run a PCA on them in order to 'boil them down' to fewer predictors that no longer suffer from the issues...
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Imagine we have ten pictures of faces and we have them rated for attractiveness. Let's say 20 participants rate them using a 1-5 Likert scale (1=unattractive; 5=attractive). Another 20...
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