Modern repeated measures analysis using mixed models in SPSS (1) Repeated measures analyse an introduction to the Mixed models (random effects) option in SPSS. Demonstrates different Covariance matrix types & how to use the Likelihood ratio test to evaluate different models. Robin Beaumont Full notes MCQ's etc at: http://ift.tt/1DZOj1O
Verification of the assumption of equal covariance matrices. eigenvalue decomposition performed for the covariance matrices of 2: target and nontarget. The eigenvectors (or principal components) corres. 4 largest eigenvalues visualized as scalp topographies ( scalearbitrary, max abs val 1. scale − 1 to 1 [arbitrary unit]). The similarity of the corresponding maps for the two classes can be seen as an indication that the covariance matrices of the two classes can be assumed to be equal.