Exploratory factor analysis and PCA

what factor analysis is for and how PCA differs from common factor analysis; sample size requirements; KMO and Bartlett's test of sphericity as the entry ticket; extraction methods; deciding how many factors - eigenvalue > 1, the scree plot, parallel analysis, and interpretability, with the honest statement that the last one usually wins; orthogonal vs oblique rotation and how to choose; reading the pattern matrix, cross-loadings and communalities; naming factors; what to do with items that load nowhere; how to report an EFA.