K-Fold Cross Validation for Factor Analysis

Provides functions to explore possible factor structures for a set of variables and helps identify plausible and replicable structures via *k*-fold cross validation. The process combines the exploratory and confirmatory factor analytic approach to scale development (Flora & Flake, 2017) with a cross validation technique that maximizes the available data. Also available are functions to determine *k* by drawing on power analytic techniques for covariance structures (MacCallum, Browne, & Sugawara, 1996) , generate model syntax, and summarize results in a report.


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install.packages("kfa")

0.1.0 by Kyle Nickodem, 2 months ago


< https://github.com/knickodem/kfa>


Report a bug at https://github.com/knickodem/kfa/issues


Browse source code at https://github.com/cran/kfa


Authors: Kyle Nickodem [aut, cre] and Peter Halpin [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports caret, doParallel, flextable, foreach, GPArotation, knitr, lavaan, officer, parallel, rmarkdown, semPlot, semTools, simstandard


See at CRAN