Building
Structural Equation Models
in Social Science

By Dr. Alex Liu

The book can be purchased directly at the RM Institute or at AMAZON.com.

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Table of Content 

Introduction

Part 1, Introduction to Structural Equation Modeling and RM4Es Flows

SUMMARY: This part introduces the RM4Es framework for understanding model building processes, and starts our discussion with examples on simple regression as structural equation modeling can be considered as an extension of regression modeling.

Part 2, Path Analysis

SUMMARY: In this part, we give a general overview of path analysis, and a RM4Es flow of building a path analysis model.

Part 3, Measurement Model and Hybrid Model

In this part, we give a general overview of measurement model and hybrid model, and a RM4Es flow of building these models.

Part 4, Equation Specification

Model specification in SEM is rather complicated that we dedicate this whole part to it.

Part 5, Estimation Methods for Structural Equation Models

In this part, we review various estimation options for SEM.

Part 6, Computing Methods for Structural Equation Models

We have selected LISREL and R as our computing software that we will review them in this part. At the same time, we will discuss how RM4Es software system can be used to manage research flows of building SEM models.

Part 7, Model Explanation and Evaluation

In this part, we provide a detailed discussion on how to evaluate SEM models and on how to interpret the SEM results.

Part 8, More on Computing and Model Evaluation

This part covers some advanced issues on SEM computing and SEM model evaluation

Part 9, More on Explanation (Equivalent Model, Nested Model and Causal Structures)

This part covers some advanced issues on SEM results explanation.

Part 10: RM4Es Summary and RM4Es software introduction

Here in part 10, we summarize our modeling process and provide a RM4Es^TM solution together with an introduction of the RM4Es^TM software.