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Comments on the Meehl-Waller (2002) procedure for appraisal of path analysis models

Robert C MacCallum1, Michael W Browne, Kristopher J Preacher

  • 1Department of Psychology, The Ohio State University, Columbus 43210-1222, USA. maccallum.1@osu.edu

Psychological Methods
|September 24, 2002
PubMed

Insights

This study examines the Meehl-Waller approach for assessing path analysis models. While acknowledging its strengths, it identifies areas needing further development for robust model evaluation.

Area of Science:

  • Psychometrics
  • Statistical Modeling

Background:

  • The Meehl-Waller (2002) method offers a novel approach to evaluating path analysis models using "risky tests" on correlation matrices.
  • This method involves testing a focal model against alternatives using specific subsets of the data.

Discussion:

  • The authors identify limitations in the Meehl-Waller approach, including reliance on single correlation subsets for parameter estimation.
  • Concerns are raised regarding "risky tests" potentially evaluating only partial model parameters, not the entire model.
  • The possibility of divergent outcomes from analyzing equivalent models using this method is also highlighted.

Key Insights:

  • The Meehl-Waller method's reliance on specific data subsets may limit comprehensive model assessment.
  • Partial testing of parameters by "risky tests" could lead to incomplete model validation.
  • The method's sensitivity to equivalent model analysis warrants further investigation.

Outlook:

  • Further research is needed to refine parameter estimation strategies within the Meehl-Waller framework.
  • Developing methods for more comprehensive "risky tests" is crucial for robust model evaluation.
  • Investigating the impact of equivalent models on Meehl-Waller results will enhance its applicability.

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