kfa: 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) <doi:10.1037/cbs0000069> 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) <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)
Version0.1.0
URL <https://github.com/knickodem/kfa>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("kfa")

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kfa documentation built on Dec. 3, 2021, 9:06 a.m.