IBM SPSS - Exploratory Factor Analysis (EFA) in SPSS

This video explains the concept of factor analysis, exploratory factor analysis (EFA), and the process of conducting EFA in SPSS. It is one of the common independence techniques in multivariate statistics. The purpose of EFA is to identify and validate underlying factors from the data. It is an exploratory, data driven method, which is different from Confirmatory Factor Analysis (CFA), which is a confirmatory, theory-driven method. Detailed steps for conducting EFA, presenting the output, and interpreting the results are provided with specific examples.
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