Principal Components (PCA) and Exploratory Factor Analysis (EFA) with SPSS

Overview This seminar will give a practical overview of both principal components analysis (PCA) and exploratory factor analysis (EFA) using SPSS. We will begin with variance partitioning and explain how it determines the use of a PCA or EFA model. For the PCA portion of the seminar, we will introduce topics such as eigenvalues and … Continue reading Principal Components (PCA) and Exploratory Factor Analysis (EFA) with SPSS