kfa: K-Fold Cross Validation for Factor Analysis

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.

Getting started

Package details

AuthorKyle Nickodem [aut, cre] and Peter Halpin [aut]
MaintainerKyle Nickodem <kyle.nickodem@gmail.com>
LicenseGPL (>= 3)
URL https://github.com/knickodem/kfa
Package repositoryView on CRAN
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kfa documentation built on Sept. 2, 2022, 9:07 a.m.