data_test_mod_cat

This dataset has one
predictor, one moderator, one
control variable, one dependent
variable, and a categorical variable.

datasets

It computes betas-select, coefficients after standardization in
structural equation models and regression models, standardizing only selected
variables. Supports models with moderation, with product terms formed after
standardization. It also offers confidence intervals that account for
standardization, including bootstrap confidence intervals as proposed by
Cheung et al. (2022) <doi:10.1037/hea0001188>.

Shu Fai Cheung

betaselectr

Betas-Select in Structural Equation Models and Linear Models

Rong Wei Sun

Florbela Chang

Wendie Yang

Sing-Hang Cheung

data_test_mod_cat function

A data frame with 500 rows
and five variables:<dl>
<dt>dv</dt>
<dd>Dependent variable, continuous</dd><dt>iv</dt>
<dd>Independent variable, continuous</dd><dt>mod</dt>
<dd>Moderator, continuous</dd><dt>cov1</dt>
<dd>Control variable, continuous</dd><dt>cat1</dt>
<dd>String variable with these values: "gp1", "gp2", and "gp3"</dd>
</dl>

Format

Test Dataset with Moderator
and Categorical Variables — data_test_mod_cat

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

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

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

<dt>cov1</dt>
<dd>Control variable, continuous</dd>

<dt>cat1</dt>
<dd>String variable with these values: "gp1", "gp2", and "gp3"</dd>


</dl>

data_test_mod_cat: Test Dataset with Moderator and Categorical Variables

Description

Usage

Arguments

Format

Examples