In this lesson we learned about:

• The interpretation of factor loadings;
• The principal component and maximum likelihood methods for estimating factor loadings and specific variances
• How communalities can be used to assess the adequacy of a factor model
• A likelihood ratio test for the goodness-of-fit of a factor model
• Factor rotation
• Methods for estimating common factors