cfa_dat

A six-variable dataset with 100 cases.

datasets

Sensitivity analysis in structural equation modeling using
influence measures and diagnostic plots. Support leave-one-out casewise
sensitivity analysis presented by Pek and MacCallum (2011)
<doi:10.1080/00273171.2011.561068> and approximate casewise influence
using scores and casewise likelihood.

Shu Fai Cheung

semfindr

Influential Cases in Structural Equation Modeling

Mark Hok Chio Lai

cfa_dat function

A data frame with 100 rows
and 6 variables:<dl>
<dt>x1</dt>
<dd>Indicator. Numeric.</dd><dt>x2</dt>
<dd>Indicator. Numeric.</dd><dt>x3</dt>
<dd>Indicator. Numeric.</dd><dt>x4</dt>
<dd>Indicator. Numeric.</dd><dt>x5</dt>
<dd>Indicator. Numeric.</dd><dt>x6</dt>
<dd>Indicator. Numeric.</dd>
</dl>

Format

Sample Data: A CFA Model — cfa_dat

A data frame with 100 rows
and 6 variables:<dl>
<dt>x1</dt>
<dd>Indicator. Numeric.</dd>

<dt>x2</dt>
<dd>Indicator. Numeric.</dd>

<dt>x3</dt>
<dd>Indicator. Numeric.</dd>

<dt>x4</dt>
<dd>Indicator. Numeric.</dd>

<dt>x5</dt>
<dd>Indicator. Numeric.</dd>

<dt>x6</dt>
<dd>Indicator. Numeric.</dd>


</dl>

cfa_dat: Sample Data: A CFA Model

Description

Usage

Arguments

Format

Examples