covmat

Transform lambda and sigma to a covariance matrix.

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

covmat function

<dl><dt>lambda</dt>
<dd>Vector of loadings.</dd>
<dt>sigma</dt>
<dd>Vector of standard deviations.</dd></dl>

Arguments

Transform lambda and sigma to a covariance matrix. — covmat

<dl>

<dt>lambda</dt>
<dd>Vector of loadings.</dd>


<dt>sigma</dt>
<dd>Vector of standard deviations.</dd>

</dl>

covmat: Transform lambda and sigma to a covariance matrix.

Description

Usage

Value

Arguments