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Related Experiment Videos

Meta-analytic methods, the Rorschach, and the MMPI.

R Rosenthal1, J B Hiller, R F Bornstein

  • 1Department of Psychology, University of California, Riverside, USA.

Psychological Assessment
|January 17, 2002
PubMed
Summary

This study addresses concerns regarding effect size calculations in meta-analyses. It presents central tendency measures for Minnesota Multiphasic Personality Inventory (MMPI) and Rorschach tests, highlighting variability differences.

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Area of Science:

  • Psychological Assessment
  • Psychometrics
  • Meta-Analysis

Background:

  • Addresses concerns raised by Garb et al. (2001) regarding meta-analytic effect size calculations.
  • Builds upon previous meta-analytic work by Hiller et al. (1999) on psychological assessments.

Purpose of the Study:

  • To present weighted and unweighted means and medians of effect sizes for MMPI and Rorschach assessments.
  • To compare the variability of these central tendency indices between MMPI and Rorschach data.
  • To offer robust estimates by analyzing a 10% trimmed sample.

Main Methods:

  • Calculated weighted and unweighted means and medians for effect sizes.
  • Separated analyses for Minnesota Multiphasic Personality Inventory (MMPI) and Rorschach effect sizes.

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  • Employed a 10% trimmed sample to enhance the robustness of central tendency estimates.

    • Main Results:

    • Reported distinct indices of central tendency for both MMPI and Rorschach effect sizes.
    • Observed notably greater variability in central tendency indices for MMPI compared to Rorschach.
    • Demonstrated the importance of evaluating multiple statistical indices in meta-analysis.

    Conclusions:

    • Meta-analysts should compute, compare, and evaluate various central tendency indices.
    • Examination of moderator variables is crucial for comprehensive meta-analytic interpretation.
    • Brief commentary provided on phi versus kappa, combining correlated effect sizes, and potential biases.