test_mod3_miss

For testing the handling of warnings
in <code>stdmod_lavaan()</code>. Generated from the following
model. <code>dv</code> has about 88% missing. A warning on missing
data will be raised in some bootstrap samples.
<div class="sourceCode"></div><pre><code>mod &lt;-
"
med ~ iv + mod + iv:mod + cov1
dv ~ med + cov2
"
</code></pre>

datasets

Functions for computing a standardized moderation effect
in moderated regression and forming its confidence interval
by nonparametric bootstrapping as proposed in
Cheung, Cheung, Lau, Hui, and Vong (2022)
<doi:10.1037/hea0001188>. Also includes simple-to-use
functions for computing conditional effects (unstandardized
or standardized) and plotting moderation effects.

Shu Fai Cheung

stdmod

Standardized Moderation Effect and Its Confidence Interval

David Weng Ngai Vong

test_mod3_miss function

A data frame with 500 rows and 6 variables:<dl>
<dt>dv</dt>
<dd>Dependent variable, continuous</dd><dt>iv</dt>
<dd>Independent variable, continuous</dd><dt>med</dt>
<dd>Mediator, continuous</dd><dt>mod</dt>
<dd>Moderator, continuous</dd><dt>cov1</dt>
<dd>Covariate, continuous</dd><dt>cov2</dt>
<dd>Covariate, continuous</dd>
</dl>

Format

For testing the handling of warnings
in <code>stdmod_lavaan()</code>. Generated from the following
model. <code>dv</code> has about 88% missing. A warning on missing
data will be raised in some bootstrap samples.
<div class="sourceCode"><pre><code>mod &lt;-
"
med ~ iv + mod + iv:mod + cov1
dv ~ med + cov2
"
</code></pre></div>

Sample Dataset: A Path Model With A Moderator — test_mod3_miss

A data frame with 500 rows and 6 variables:<dl>
<dt>dv</dt>
<dd>Dependent variable, continuous</dd>

<dt>iv</dt>
<dd>Independent variable, continuous</dd>

<dt>med</dt>
<dd>Mediator, continuous</dd>

<dt>mod</dt>
<dd>Moderator, continuous</dd>

<dt>cov1</dt>
<dd>Covariate, continuous</dd>

<dt>cov2</dt>
<dd>Covariate, continuous</dd>


</dl>

test_mod3_miss: Sample Dataset: A Path Model With A Moderator

Description

Usage

Arguments

Format