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.
- Version0.2.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- kfa citation info
- Last release07/09/2023
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Team
Kyle Nickodem
Peter Halpin
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- Imports11 packages
- Suggests1 package