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Structural equation modeling: basic concepts and applications in personality assessment research

S L Crowley1, X Fan

  • 1Department of Psychology, Utah State University, USA.

Journal of Personality Assessment
|June 1, 1997
PubMed
Summary
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Structural equation modeling (SEM) provides a powerful framework for psychological research. This review clarifies SEM application, focusing on confirmatory factor analysis, to aid researchers in its effective use.

Area of Science:

  • Psychology
  • Quantitative Psychology
  • Statistical Modeling

Background:

  • Structural Equation Modeling (SEM) is increasingly prevalent in psychological research.
  • Many researchers lack clarity on applying SEM effectively in their studies.
  • Existing literature may not sufficiently bridge conceptual understanding with practical application.

Purpose of the Study:

  • To provide a conceptual overview of Structural Equation Modeling (SEM).
  • To clarify the application of SEM, with a specific focus on confirmatory factor analysis (CFA).
  • To elucidate the relationship between SEM and other statistical techniques like exploratory factor analysis (EFA).

Main Methods:

  • Conceptual review of Structural Equation Modeling (SEM) principles.

Related Experiment Videos

  • Detailed examination of confirmatory factor analysis (CFA) as a core SEM technique.
  • Comparative analysis of SEM with exploratory factor analysis (EFA).

    • Main Results:

    • The article presents a detailed example of confirmatory factor analysis (CFA) within the SEM framework.
    • Key conceptual distinctions and relationships between SEM, CFA, and EFA are highlighted.
    • Practical considerations and limitations of employing SEM are discussed.

    Conclusions:

    • Structural Equation Modeling (SEM), particularly confirmatory factor analysis (CFA), offers robust methods for psychological research.
    • Understanding the conceptual underpinnings and practical application of SEM is crucial for researchers.
    • Further exploration of SEM's utility and limitations can enhance its appropriate use in the field.