agg_model_fit

Summary table of model fit 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_model_fit function

<dl><dt>kfits</dt>
<dd>an object returned from <code>k_model_fit</code> when <code>by.folds = TRUE</code></dd>
<dt>index</dt>
<dd>character; one or more fit indices to summarize. Indices
must be present in the <code>kfits</code> object. Default is <code>"all"</code> indices present in <code>kfits</code>.
Chi-square value and degrees of freedom are always reported.</dd>
<dt>digits</dt>
<dd>integer; number of decimal places to display in the report</dd></dl>

Arguments

Summary table of model fit — agg_model_fit

<dl>

<dt>kfits</dt>
<dd>an object returned from <code>k_model_fit</code> when <code>by.folds = TRUE</code></dd>


<dt>index</dt>
<dd>character; one or more fit indices to summarize. Indices
must be present in the <code>kfits</code> object. Default is <code>"all"</code> indices present in <code>kfits</code>.
Chi-square value and degrees of freedom are always reported.</dd>


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

</dl>

agg_model_fit: Summary table of model fit

Description

Usage

Value

Arguments

Examples