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Introduction to the special section on structural equation modeling.

Andrew J Tomarken1, Timothy B Baker

  • 1Department of Psychology, Vanderbilt University, Nashville, TN 37203, USA. andrew.j.tomarken@vanderbilt.edu

Journal of Abnormal Psychology
|December 17, 2003
PubMed
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Structural equation modeling (SEM) is a powerful tool in psychopathology research, but its complexity requires careful application. This guide offers strategies for effective SEM analysis and evaluation to overcome common challenges.

Area of Science:

  • Psychopathology Research
  • Quantitative Psychology
  • Statistical Modeling

Background:

  • Structural Equation Modeling (SEM) is widely adopted in psychopathology research.
  • Its popularity stems from unique capabilities, broad applicability, and advancements in modeling and software.
  • However, SEM presents complexities and ambiguities, posing challenges for users.

Purpose of the Study:

  • To enhance the effective utilization of SEM in psychopathology research.
  • To address common problems encountered during SEM application.
  • To provide recommendations for appropriate analysis and evaluation strategies.

Main Methods:

  • Review of recently developed SEM modeling capabilities.
  • Identification of frequently encountered issues in SEM application.

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  • Development of recommended strategies for SEM analysis and evaluation.

    • Main Results:

    • The review highlights advanced SEM techniques.
    • Common pitfalls in SEM application are identified.
    • Evidence-based strategies for robust SEM analysis are proposed.

    Conclusions:

    • Effective SEM application requires understanding its complexities.
    • Adopting recommended strategies can improve the validity of SEM results.
    • This work aims to guide researchers in maximizing SEM's potential in psychopathology.