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NCJ Number: 221030 Find in a Library
Title: Using Structural Equation Modeling with Forensic Samples
Journal: Criminal Justice and Behavior  Volume:34  Issue:12  Dated:December 2007  Pages:1560-1587
Author(s): Jeffrey C. Meehan; Gregory L. Stuart
Date Published: December 2007
Page Count: 28
Publisher: http://www.sagepub.com/ 
Type: Measurement/Evaluation Device
Format: Article
Language: English
Country: United States of America
Annotation: Examples of path analysis, confirmatory factor analysis (CFA) of latent variables, and full structural models with latent variables are presented in this article because they are three of the most common analyses performed with structural equation modeling (SEM) methods with forensic samples.
Abstract: Because of its many advantages, structural equation modeling (SEM) has been used with increasing frequency in behavioral science, and it is a set of techniques that can be useful in analyzing forensic research data. This article has attempted to demonstrate, in an applied setting, the kinds of issues that are necessary to consider when performing structural equation modeling (SEM) analyses. Although SEM makes somewhat different demands of researchers and their data than other statistical models, it can be a useful technique to help answer some of the questions of interest to forensic scientists. Issues in SEM, including theory, estimation method, sample size and data requirements, identification, and fit indices are discussed. Using a sample of data from men arrested for domestic violence perpetration and court referred to treatment, examples of path analysis, confirmatory factor analysis, and full structural models with latent variables are presented. Tables, figures and references
Main Term(s): Research methods
Index Term(s): Behavioral science research; Data analysis; Domestic assault; Forensic sciences; Research design; Scientific techniques; Statistical analysis
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=242875

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