agg_loadings

The factor loadings 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_loadings function

<dl><dt>models</dt>
<dd>An object returned from <code>kfa</code></dd>
<dt>flag</dt>
<dd>threshold below which loading will be flagged</dd>
<dt>digits</dt>
<dd>integer; number of decimal places to display in the report.</dd></dl>

Arguments

Aggregated factor loadings — agg_loadings

<dl>

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


<dt>flag</dt>
<dd>threshold below which loading will be flagged</dd>


<dt>digits</dt>
<dd>integer; number of decimal places to display in the report.</dd>

</dl>

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agg_loadings: Aggregated factor loadings

Description

Usage

Value

Arguments

Examples