Factor Analysis - Harvard University
Least-squares method (LS) (e.g. principal axis factoring with iterated communalities) " Goal: minimize the sum of squared differences between observed and estimated corr. matrices " Fitting steps: a) Obtain initial estimates of communalities (h2) e.g. squared correlation between a variable and the remaining variables
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