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Using Mplus for Structural ­Equation Modeling
A Researcher's Guide

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5 Ratings by Goodreads
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Format
Paperback, 248 pages
Published
United States, 8 August 2014


Retaining the successful five-step process employed in Kevin Kelloway's 1998 book Using LISREL for Structural Equation Modeling, this edition updates it for Mplus, the "new LISREL". Mplus, which is growing in popularity, incorporates the ability to model both continuous and categorical latent and observed variables in a structural equation modelling framework, and the ability to estimate multi-level structural equation models. This new book provides students with a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework.



E. Kevin Kelloway is the Canada Research Chair in Occupational Health Psychology at Saint Mary's University. He received his PhD in Organizational Psychology from Queen's University (Kingston, ON) and taught for eight years at the University of Guelph. In 1999 he moved to Saint Mary's University where he also holds the position of Professor of Psychology. He was the founding director of the CN Centre for Occupational Health and Safety and the PhD program in Business Administration (Management). He was also a founding principal of the Centre for Leadership Excellence at Saint Mary's. An active researcher, he is the author/editor of 12 books and over 100 research articles and chapters. He is a Fellow of the Association for Psychological Science, the Canadian Psychological Association and of the Society for Industrial/Organizational Psychology.


Chapter 1: Introduction

Why Structural Equation Modeling?

The Remainder of This Book

Chapter 2: Structural Equation Models: Theory and Development

The Process of Structural Equation Modeling

Chapter 3: Assessing Model Fit

Absolute Fit

Comparative Fit

Parsimonious Fit

Toward a Strategy for Assessing Model Fit

Chapter 4: Using MPlus

The Data File

The Command File

Putting It All Together: Some Basic Analyses

Chapter 5: Confirmatory Factor Analysis

Model Specification

Identification

Estimation

Assessment of Fit

Model Modification

Sample Results Section

Chapter 6: Observed Variable Path Analysis

Model Specification

Identification

Estimation

Mediation

Using Equality Constraints

Multisample Analysis

Chapter 7: Latent Variable Path Analysis

Model Specification

Sample Results

Chapter 8: Longitudinal Analysis

Measurement Equivalence Across Time

Latent Growth Curves

Cross-Lagged Models

Chapter 9: Multilevel Modeling

Multilevel Models in Mplus

Conditional Models

Random-Slope Models

Multilevel Modeling and Mediation

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Product Description


Retaining the successful five-step process employed in Kevin Kelloway's 1998 book Using LISREL for Structural Equation Modeling, this edition updates it for Mplus, the "new LISREL". Mplus, which is growing in popularity, incorporates the ability to model both continuous and categorical latent and observed variables in a structural equation modelling framework, and the ability to estimate multi-level structural equation models. This new book provides students with a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework.



E. Kevin Kelloway is the Canada Research Chair in Occupational Health Psychology at Saint Mary's University. He received his PhD in Organizational Psychology from Queen's University (Kingston, ON) and taught for eight years at the University of Guelph. In 1999 he moved to Saint Mary's University where he also holds the position of Professor of Psychology. He was the founding director of the CN Centre for Occupational Health and Safety and the PhD program in Business Administration (Management). He was also a founding principal of the Centre for Leadership Excellence at Saint Mary's. An active researcher, he is the author/editor of 12 books and over 100 research articles and chapters. He is a Fellow of the Association for Psychological Science, the Canadian Psychological Association and of the Society for Industrial/Organizational Psychology.


Chapter 1: Introduction

Why Structural Equation Modeling?

The Remainder of This Book

Chapter 2: Structural Equation Models: Theory and Development

The Process of Structural Equation Modeling

Chapter 3: Assessing Model Fit

Absolute Fit

Comparative Fit

Parsimonious Fit

Toward a Strategy for Assessing Model Fit

Chapter 4: Using MPlus

The Data File

The Command File

Putting It All Together: Some Basic Analyses

Chapter 5: Confirmatory Factor Analysis

Model Specification

Identification

Estimation

Assessment of Fit

Model Modification

Sample Results Section

Chapter 6: Observed Variable Path Analysis

Model Specification

Identification

Estimation

Mediation

Using Equality Constraints

Multisample Analysis

Chapter 7: Latent Variable Path Analysis

Model Specification

Sample Results

Chapter 8: Longitudinal Analysis

Measurement Equivalence Across Time

Latent Growth Curves

Cross-Lagged Models

Chapter 9: Multilevel Modeling

Multilevel Models in Mplus

Conditional Models

Random-Slope Models

Multilevel Modeling and Mediation

Show more
Product Details
EAN
9781452291475
ISBN
1452291470
Other Information
Illustrated
Dimensions
22.8 x 15.6 x 1.4 centimetres (0.32 kg)

Table of Contents

Chapter 1: Introduction
Why Structural Equation Modeling?
The Remainder of This Book
Chapter 2: Structural Equation Models: Theory and Development
The Process of Structural Equation Modeling
Chapter 3: Assessing Model Fit
Absolute Fit
Comparative Fit
Parsimonious Fit
Toward a Strategy for Assessing Model Fit
Chapter 4: Using MPlus
The Data File
The Command File
Putting It All Together: Some Basic Analyses
Chapter 5: Confirmatory Factor Analysis
Model Specification
Identification
Estimation
Assessment of Fit
Model Modification
Sample Results Section
Chapter 6: Observed Variable Path Analysis
Model Specification
Identification
Estimation
Mediation
Using Equality Constraints
Multisample Analysis
Chapter 7: Latent Variable Path Analysis
Model Specification
Sample Results
Chapter 8: Longitudinal Analysis
Measurement Equivalence Across Time
Latent Growth Curves
Cross-Lagged Models
Chapter 9: Multilevel Modeling
Multilevel Models in Mplus
Conditional Models
Random-Slope Models
Multilevel Modeling and Mediation

About the Author

E. Kevin Kelloway is the Canada Research Chair in Occupational Health Psychology at Saint Mary’s University.  He received his PhD in Organizational Psychology from Queen’s University (Kingston, ON) and taught for eight years at the University of Guelph.  In 1999 he moved to Saint Mary’s University where he also holds the position of Professor of Psychology.  He was the founding director of the CN Centre for Occupational Health and Safety and the PhD program in Business Administration (Management).  He was also a founding principal of the Centre for Leadership Excellence at Saint Mary’s.  An active researcher, he is the author/editor of 12 books and over 100 research articles and chapters. He is a Fellow of the Association for Psychological Science, the Canadian Psychological Association and of the Society for Industrial/Organizational Psychology.

Reviews

"An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research."
*Kevin J. Grimm, University of California, Davis*

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