example.kfa

Simulated responses for 900 observations on 20 variables loading onto a 3 factor
structure (see example in <code>kfa</code> documentation for model).
The simulated data was run through <code>kfa</code> with the call
kfa(sim.data, k = 2, m = 3) which tested 1-, 2-, and 3-factor structures over 2 folds.

datasets

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.

Kyle Nickodem

K-Fold Cross Validation for Factor Analysis

example.kfa function

An object of class <code>"kfa"</code>, which is a four-element <code>list</code>:<ul>
<li>cfas <code>lavaan</code> CFA objects for each k fold</li>
<li>cfa.syntax syntax used to produce CFA objects</li>
<li>model.names vector of names for CFA objects</li>
<li>efa.structures all factor structures identified in the EFA</li>
</ul>

example.kfa: kfa results from simulated data example

Description

Usage

Arguments

Format

Examples