Hello everyone,

As the title suggests, I am trying to figure out how to compute a reduced correlation matrix in R. I am running an Exploratory Factor Analysis using Maximum Likelihood as my extraction method, and am first creating a scree plot as one method to help me determine how many factors to extract. I read in Fabrigar and Wegener's (2012) Exploratory Factor Analysis, from their Understanding Statistics collection, that using a reduced correlation matrix when creating a scree plot for EFA is preferable compared to the unreduced correlation matrix. Any help is appreciated!

Thanks,

Alex

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