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Conclusions from meta-analytic structural equation models generally do not change due to corrections for study

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Research Synthesis Methods
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Meta-analytic structural equations modeling (MASEM) is robust. Correcting correlations for study artifacts generally does not impact model fit or path stability in psychological research.

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Area of Science:

  • Psychometrics
  • Quantitative Psychology
  • Meta-analysis

Background:

  • Meta-analytic structural equations modeling (MASEM) is a powerful tool for theory testing.
  • Debate exists on whether to use raw or artifact-corrected correlations in MASEM.
  • Artifacts like measurement unreliability can influence meta-analytic results.

Purpose of the Study:

  • To investigate the impact of artifact corrections on structural equations modeling (SEM) fit indices.
  • To examine the effect of artifact corrections on the stability of paths within SEM.
  • To determine if corrections for study artifacts alter substantive conclusions in MASEM.

Main Methods:

  • Comparison of SEM fit indices using mean observed correlations versus artifact-corrected correlations.
  • Assessment of path stability (significance, magnitude, rank order) under both correction methods.
  • Analysis conducted on meta-analyzed correlation matrices common in psychological research.

Main Results:

  • Model fit indices were generally similar regardless of whether correlations were artifact-corrected.
  • Path stability, including significance and relative strengths, remained largely unaffected by corrections.
  • Substantive conclusions drawn from the structural models were consistent across correction approaches.

Conclusions:

  • Artifact corrections in MASEM typically do not alter overall model fit or path stability.
  • Findings suggest that standard corrections for study artifacts are generally safe for theory testing in psychology.
  • Substantive conclusions are robust to artifact correction methods when variable reliability is typical.