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MCMI-II scoring: weighted and unweighted algorithms.

P D Retzlaff1, E P Sheehan, M Lorr

  • 1Department of Psychology, University of Northern Colorado, Greeley 80639.

Journal of Personality Assessment
|January 1, 1990
PubMed
Summary

This study investigated scoring methods for the Millon Clinical Multiaxial Inventory-II (MCMI-II). Findings suggest that weighted and unweighted scoring produce highly similar results, questioning the impact of item weighting on clinical profiles.

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Area of Science:

  • Psychological assessment
  • Clinical psychology
  • Psychometrics

Background:

  • The Millon Clinical Multiaxial Inventory-II (MCMI-II) is a widely used tool for personality assessment.
  • Item scoring algorithms, including weighted and unweighted methods, can influence test results.
  • Understanding the impact of different scoring methods is crucial for accurate interpretation.

Purpose of the Study:

  • To examine the relationship between scale scores derived from weighted and unweighted item scoring on the MCMI-II.
  • To determine if item weighting significantly affects MCMI-II profiles or interscale correlations.

Main Methods:

  • The study analyzed inventories from 356 subjects across three distinct samples.
  • MCMI-II data were scored using both weighted and unweighted algorithms.

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  • Statistical correlations were calculated between the scale scores from both scoring methods.

    • Main Results:

    • Correlations between weighted and unweighted MCMI-II scales were found to be very high, approaching unity.
    • The observed high correlations indicate minimal differences between the two scoring approaches.
    • Item weighting did not substantially alter the generated personality profiles.

    Conclusions:

    • The weighting system in the MCMI-II appears to have a negligible effect on the resulting clinical profiles.
    • The use of weighted versus unweighted scoring does not significantly impact interscale correlations.
    • These findings suggest that unweighted scoring may be a sufficient and simpler alternative for MCMI-II analysis.