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.
Chapter 2: History and Logic of Structural Equation Modeling
History and Logic of Structural Equation Modeling
Because the structural equation modeling (SEM) literature is spread across many fields and encompasses a number of traditions, readers new to SEM approaches often have a difficult time finding information that gives them a basic understanding of the context and purposes of SEM. The goal of this chapter is to ...