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.
Version: 0.2.2 Depends: R (≥ 3.6) Imports: caret, doParallel, flextable (≥ 0.6.3), foreach, GPArotation, knitr, lavaan (≥ 0.6.9), officer, parallel, rmarkdown, semTools (≥ 0.5.5), simstandard Suggests: semPlot Published: 2023-07-09 DOI: 10.32614/CRAN.package.kfa Author: Kyle Nickodem [aut, cre] and Peter Halpin [aut] Maintainer: Kyle Nickodem <kyle.nickodem at gmail.com> BugReports: https://github.com/knickodem/kfa/issues License: GPL (≥ 3) URL: https://github.com/knickodem/kfa NeedsCompilation: no Citation: kfa citation info Materials: README, NEWS CRAN checks: kfa results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=kfa to link to this page.
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