kfa

Provides functions to identify plausible and replicable factor structures for a set of variables via k-fold cross validation. The process combines the exploratory and confirmatory factor analytic approach to scale development (Flora & Flake, 2017) doi:10.1037/cbs0000069 with a cross validation technique that maximizes the available data (Hastie, Tibshirani, & Friedman, 2009) isbn:978-0-387-21606-5. Also available are functions to determine k by drawing on power analytic techniques for covariance structures (MacCallum, Browne, & Sugawara, 1996) doi:10.1037/1082-989X.1.2.130, generate model syntax, and summarize results in a report.

Last 30 days

This package has been downloaded 239 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.

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Last 365 days

This package has been downloaded 3,670 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 34 downloads.

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