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.
Package details |
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Author | Kyle Nickodem [aut, cre] and Peter Halpin [aut] |
Maintainer | Kyle Nickodem <kyle.nickodem@gmail.com> |
License | GPL (>= 3) |
Version | 0.2.2 |
URL | https://github.com/knickodem/kfa |
Package repository | View on CRAN |
Installation |
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