mediationVC

This data set is from Williams and Anderson (1994) on the study of methods effects in organizational research using latent-variable models.

datasets

Functions for computing fit indices for
evaluating the path component of latent variable structural equation models.
Available fit indices include RMSEA-P and NSCI-P originally presented and evaluated
by Williams and O'Boyle (2011) <doi:10.1177/1094428110391472> and demonstrated by
O'Boyle and Williams (2011) <doi:10.1037/a0020539> and Williams, O'Boyle, & Yu (2020)
<doi:10.1177/1094428117736137>. Also included are fit indices described by
Hancock and Mueller (2011) <doi:10.1177/0013164410384856>.

Steven Andrew Culpepper

pathmodelfit

Path Component Fit Indices for Latent Structural Equation Models

Larry Williams

mediationVC function

A variance-covariance <code>matrix</code> for 232 observations and 12 variables. The variables are indicators of four constructss: 1) job satisfaction (Jobsat; 10 items), 2) organizational committment (Orgcom; 8 items), 3) leader-contingent reward behavior (Ldrrew; 10 items), and 4) job complexity (Jobcom; 6 items). The individual item responses were used to create three, total-score indicators for each construct defined as follows:<dl class="dl-horizontal">
<dt><code>JobsatI1</code></dt><dd>Job satisfaction indicator 1</dd>
<dt><code>JobsatI2</code></dt><dd>Job satisfaction indicator 2</dd>
<dt><code>JobsatI3</code></dt><dd>Job satisfaction indicator 3</dd>
<dt><code>OrgcomI1</code></dt><dd>Organizational committment indicator 1</dd>
<dt><code>OrgcomI2</code></dt><dd>Organizational committment indicator 2</dd>
<dt><code>OrgcomI3</code></dt><dd>Organizational committment indicator 3</dd>
<dt><code>LdrrewI1</code></dt><dd>Leader-contingent reward behavior indicator 1</dd>
<dt><code>LdrrewI2</code></dt><dd>Leader-contingent reward behavior indicator 2</dd>
<dt><code>LdrrewI3</code></dt><dd>Leader-contingent reward behavior indicator 3</dd>
<dt><code>JobcomI1</code></dt><dd>Job complexity indicator 1</dd>
<dt><code>JobcomI2</code></dt><dd>Job complexity indicator 2</dd>
<dt><code>JobcomI3</code></dt><dd>Job complexity indicator 3</dd>
</dl>

Format

Williams and Anderson (1994) Mediated Multifoci Model Dataset — mediationVC

A variance-covariance <code>matrix</code> for 232 observations and 12 variables. The variables are indicators of four constructss: 1) job satisfaction (Jobsat; 10 items), 2) organizational committment (Orgcom; 8 items), 3) leader-contingent reward behavior (Ldrrew; 10 items), and 4) job complexity (Jobcom; 6 items). The individual item responses were used to create three, total-score indicators for each construct defined as follows:<dl class='dl-horizontal'>
<dt><code>JobsatI1</code></dt><dd>Job satisfaction indicator 1</dd>
<dt><code>JobsatI2</code></dt><dd>Job satisfaction indicator 2</dd>
<dt><code>JobsatI3</code></dt><dd>Job satisfaction indicator 3</dd>
<dt><code>OrgcomI1</code></dt><dd>Organizational committment indicator 1</dd>
<dt><code>OrgcomI2</code></dt><dd>Organizational committment indicator 2</dd>
<dt><code>OrgcomI3</code></dt><dd>Organizational committment indicator 3</dd>
<dt><code>LdrrewI1</code></dt><dd>Leader-contingent reward behavior indicator 1</dd>
<dt><code>LdrrewI2</code></dt><dd>Leader-contingent reward behavior indicator 2</dd>
<dt><code>LdrrewI3</code></dt><dd>Leader-contingent reward behavior indicator 3</dd>
<dt><code>JobcomI1</code></dt><dd>Job complexity indicator 1</dd>
<dt><code>JobcomI2</code></dt><dd>Job complexity indicator 2</dd>
<dt><code>JobcomI3</code></dt><dd>Job complexity indicator 3</dd>
</dl>

mediationVC: Williams and Anderson (1994) Mediated Multifoci Model Dataset

Description

Usage

Arguments

Format