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A cautionary note on testing latent variable models.

Ivan Ropovik1

  • 1Department of Preschool and Elementary Education and Psychology, Faculty of Education, University of Presov Presov, Slovakia.

Frontiers in Psychology
|November 24, 2015
PubMed
Summary

Researchers reviewed 75 studies on latent variable models, finding a tendency to overlook model testing. This practice often leads to accepting theoretical models without sufficient empirical evidence, questioning the validity of current latent structure testing methods.

Keywords:
approximate fit indiceschi square testconfirmatory factor analysismodel fitstructural equation modeling

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Area of Science:

  • Psychology
  • Statistics
  • Quantitative Research Methods

Background:

  • Latent variable models are widely used in psychology to represent unobservable constructs.
  • Rigorous testing of these models is crucial for validating theoretical frameworks and ensuring empirical evidence supports the data.
  • Current practices in latent variable model testing warrant critical examination.

Purpose of the Study:

  • To analyze the current practices in testing latent variable models within psychology research.
  • To identify common trends and potential shortcomings in the empirical validation of these models.
  • To evaluate the adequacy of current methods for confronting theory with data.

Main Methods:

  • Systematic review of 75 studies published in 11 psychology journals.
  • Analysis focused on studies employing latent modeling techniques.
  • Examination of how model testing, specifically the chi-squared (χ(2)) test, was applied and interpreted.

Main Results:

  • A prevalent tendency to disregard the chi-squared (χ(2)) model test was observed.
  • Researchers frequently accepted approximate fit hypotheses without thorough examination of empirical evidence.
  • Theoretical models were often accepted despite evidence that contradicted them, due to a lack of rigorous model testing consequences.

Conclusions:

  • The current empirical testing of latent structures in psychology may be inadequate.
  • Over-reliance on approximate fit indices without critical model evaluation can lead to unsubstantiated acceptance of theories.
  • The validity and utility of widely applied latent structure testing methodologies are questioned.