mediation_latent

Generated from a three-factor model with nine variables, n = 150

datasets

Forms likelihood-based confidence intervals
(LBCIs) for parameters in structural equation modeling,
introduced in Cheung and Pesigan (2023)
<doi:10.1080/10705511.2023.2183860>. Currently
implements the algorithm illustrated by Pek and Wu
(2018) <doi:10.1037/met0000163>, and supports the robust
LBCI proposed by Falk (2018)
<doi:10.1080/10705511.2017.1367254>.

Shu Fai Cheung

semlbci

Likelihood-Based Confidence Interval in Structural Equation
Models

Ivan Jacob Agaloos Pesigan

mediation_latent function

A data frame with 150 rows and nine variables:<dl>
<dt>x1</dt>
<dd>x1</dd><dt>x2</dt>
<dd>x2</dd><dt>x3</dt>
<dd>x3</dd><dt>x4</dt>
<dd>x4</dd><dt>x5</dt>
<dd>x5</dd><dt>x6</dt>
<dd>x6</dd><dt>x7</dt>
<dd>x7</dd><dt>x8</dt>
<dd>x8</dd><dt>x9</dt>
<dd>x9</dd>
</dl>

Format

Dataset (SEM, Three Factors, Nine Variables, Mediation) — mediation_latent

A data frame with 150 rows and nine variables:<dl>
<dt>x1</dt>
<dd>x1</dd>

<dt>x2</dt>
<dd>x2</dd>

<dt>x3</dt>
<dd>x3</dd>

<dt>x4</dt>
<dd>x4</dd>

<dt>x5</dt>
<dd>x5</dd>

<dt>x6</dt>
<dd>x6</dd>

<dt>x7</dt>
<dd>x7</dd>

<dt>x8</dt>
<dd>x8</dd>

<dt>x9</dt>
<dd>x9</dd>


</dl>

mediation_latent: Dataset (SEM, Three Factors, Nine Variables, Mediation)

Description

Usage

Arguments

Format

Details

Examples