8/22/2023 0 Comments Pca in spss 25Let’s start by creating some data that follow a standard normal distribution (a JSL script for all analyses in this post is attached if you want to follow along). Choosing improperly might mean misleading results or incorrect understanding of the data. This distinction opens the door to explaining other important differences and is helpful when figuring out which technique is most appropriate for a given application. In this post, I share my favorite example for explaining a key difference between PCA and EFA. ![]() Should I use principal components analysis (PCA) or Exploratory Factor Analysis (EFA) for my work? This is a common question that analysts working with multivariate data, such as social scientists, consumer researchers, or engineers, face on a regular basis.
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