• Summary
  • Contents
  • Subject index

With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The popularity of these techniques, however, has often led to misunderstandings of them, particularly by students being exposed to them for the first time. Through the use of careful narrative explanation, Basics of Structural Equation Modeling describes the logic underlying structural equation modeling (SEM) approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data.

Wrapping up
Wrapping up

This final chapter presents three sets of issues. First, with no intent to squelch any enthusiasm that has been generated, structural equation modeling (SEM) approaches are viewed from perspectives of their critics. This chapter looks at several types of critics of SEM techniques in casting the SEM field ...

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