Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming

✍ Scribed by Barbara M. Byrne

• Publisher: Lawrence Erlbaum Associates
• Year: 1998
• Tongue: English
• Leaves: 417
• Series: Multivariate Applications
• Category: Library

✦ Synopsis

This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows versions of LISREL 8, as well as both the LISREL and SIMPLIS lexicons, and (c) to highlight particular features of the LISREL 8 and PRELIS 2 progams that address important caveats related to SEM analyses.

This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.

✦ Table of Contents

Cover
Structural Equation Modeling With LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming
Title Page
Copyright Page
Table of Contents
Preface
Part I: Introduction
1 Structural Equation Models: The Basics
Basic Concepts
The General LlSREL Model
The LlSREL Confirmatory Factor Analytic Model
The LlSREL Full Structural Equation Model
2 Using LISREL, PRELIS, and SIMPLIS
Working with LlSREL 8
Working with PRELIS 2
Working with SIMPLIS
Overview of Remaining Chapters
Part II: Single-Group Analyses
3 Application 1: Testing the Factorial Validity of a Theoretical Construct (First-Order CFA Model)
The Hypothesized Model
The LlSREL Input File
The LlSREL Output File
Post Hoc Analyses
From the SIMPLIS Perspective
Applications Related to Other Disciplines
4 Application 2: Testing the Factorial Validity of Scores from a Measuring Instrument (First-Order CFA Model)
The Measuring Instrument Under Study
The Hypothesized Model
Post Hoc Analyses
From the SIMPLIS Perspective
Cross-Validation in Covariance Structure Modeling
Applications Related to Other Disciplines
5 Application 3: Testing the Factorial Validity of Scores from a Measuring Instrument (Second-Order CF A Model)
The Measuring Instrument Under Study
Analysis of Categorical Data
Preliminary Analyses Using PRELIS
The Hypothesized Model
Post Hoc Analyses
From the SIMPLIS Perspective
Applications Related to Other Disciplines
6 Application 4: Testing for Construct Validity: The Multitrait-Multimethod Model
Preliminary Analyses Using PRELlS: Data Screening
The CFA Approach to MTMM Analyses
The General CFA MTMM Model
Testing for Construct Validity: Comparison of Models
Testing for Construct Validity: Examination of Parameters
The Correlated Uniqueness MTMM Model
From the SIMPLIS Perspective
Applications Related to Other Disciplines
7 Application 5: Testing the Validity of a Causal Structure
The Hypothesized Model
Preliminary Analyses Using PRELIS
Preliminary Analyses Using LlSREL
Testing the Hypothesized Model of Causal Structure
Post Hoc Analyses
From the SIMPLIS Perspective
Applications Related to Other Disciplines
Part III: Multiple Group Analyses
8 Application 6: Testing for Invariant Factorial Structure of a Theoretical Construct (First-Order CFA Model)
Testing for Multigroup Invariance
Testing for Invariance Across Gender
Hypothesis I
Hypothesis II
Hypothesis III
From the SIMPLIS Perspective
Applications Related to Other Disciplines
9 Application 7: Testing for Invariant Factorial Structure of Scores from a Measuring Instrument (First-Order CFA Model)
Testing for Invariance Across Low and High Academic Tracks
Testing Hypotheses Related to Multigroup Invariance
Hypothesis I
Hypothesis II
Hypothesis III
Hypothesis IV
From the SIMPLIS Perspective
Applications Related to Other Disciplines
10 Application 8: Testing for Invariant Latent Mean Structures
Basic Concepts Underlying Tests of Latent Mean Structures
The Hypothesized Model
From the SIMPLIS Perspective
Applications Related to Other Disciplines
11 Application 9: Testing for Invariant Pattern of Causal Structure
The Hypothesized Model
Testing for Invariance Across Calibration/Validation Samples
From the SIMPLIS Perspective
Applications Related to Other Disciplines
Part IV: LISREL, PRELIS, and SIMPLIS Through Windows
12 Application 10: Testing for Causal Predominance Using a Two-Wave Panel Model
Using the Windows Versions of LlSREL 8 and PRELIS 2
Running LlSREL 8 and PRELIS 2
The Hypothesized Model
From the SIMPLIS Perspective
Applications Related to Other Disciplines
References
Author Index
Subject Index