agg_cors

The factor correlations aggregated over k-folds

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

agg_cors function

<dl><dt>models</dt>
<dd>An object returned from <code>kfa</code></dd>
<dt>flag</dt>
<dd>threshold above which a factor correlation will be flagged</dd>
<dt>type</dt>
<dd>currently ignored; <code>"factor"</code> (default) or <code>"observed"</code> variable correlations</dd></dl>

Arguments

Aggregated factor correlations — agg_cors

<dl>

<dt>models</dt>
<dd>An object returned from <code>kfa</code></dd>


<dt>flag</dt>
<dd>threshold above which a factor correlation will be flagged</dd>


<dt>type</dt>
<dd>currently ignored; <code>"factor"</code> (default) or <code>"observed"</code> variable correlations</dd>

</dl>

agg_cors: Aggregated factor correlations

Description

Usage

Value

Arguments

Examples