studentized_boots

Studentized bootstrap estimates using transformers.

internal

Calculate confidence intervals for alpha and standardized
alpha using asymptotic theory or the studentized bootstrap, with or
without transformations. Supports the asymptotic distribution-free
method of Maydeu-Olivares, et al. (2007)
<doi:10.1037/1082-989X.12.2.157>, the pseudo-elliptical method of Yuan
& Bentler (2002) <doi:10.1007/BF02294845>, and the normal method of
van Zyl et al. (1999) <doi:10.1007/BF02296146>, for both coefficient
alpha and standardized alpha.

Jonas Moss

alphaci

Confidence Intervals for Coefficient Alpha and Standardized
Alpha

studentized_boots function

<dl><dt>n_reps</dt>
<dd>Number of bootstrap repetitions.</dd>
<dt>x</dt>
<dd>Data to estimate alpha on.</dd>
<dt>type</dt>
<dd>Type of confidence interval. Either <code>adf</code>, <code>elliptical</code>, or
<code>normal</code>.</dd>
<dt>parallel</dt>
<dd>If <code>TRUE</code>, makes calculations under the assumption of a
parallel model.</dd>
<dt>transformer</dt>
<dd>A <code>transformer</code> object.</dd>
<dt>standardized</dt>
<dd>If <code>TRUE</code>, calculates the standardized alpha. Calculates
coefficient alpha otherwise.</dd></dl>

Arguments

Studentized bootstrap estimates using transformers. — studentized_boots

<dl>

<dt>n_reps</dt>
<dd>Number of bootstrap repetitions.</dd>


<dt>x</dt>
<dd>Data to estimate alpha on.</dd>


<dt>type</dt>
<dd>Type of confidence interval. Either <code>adf</code>, <code>elliptical</code>, or
<code>normal</code>.</dd>


<dt>parallel</dt>
<dd>If <code>TRUE</code>, makes calculations under the assumption of a
parallel model.</dd>


<dt>transformer</dt>
<dd>A <code>transformer</code> object.</dd>


<dt>standardized</dt>
<dd>If <code>TRUE</code>, calculates the standardized alpha. Calculates
coefficient alpha otherwise.</dd>

</dl>

studentized_boots: Studentized bootstrap estimates using transformers.

Description

Usage

Value

Arguments