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Refining personality assessments by combining MCMI high-point profiles and MMPI codes, Part V: MMPI code 78/87
M Antoni1, J Levine, P Tischer
1Nova University, Behavioral Sciences Center, School of Psychology, Fort Lauderdale, FL 33314.
Journal of Personality Assessment
|January 1, 1987
Summary
Combining Millon Clinical Multiaxial Inventory (MCMI) and Minnesota Multiphasic Personality Inventory (MMPI) data clarifies personality descriptors. This objective test battery approach identifies three distinct patient clusters for multiaxial diagnosis.
Area of Science:
- Psychological assessment
- Clinical psychology
- Psychometrics
Background:
- The Minnesota Multiphasic Personality Inventory (MMPI) provides valuable personality insights.
- Contradictory descriptors within MMPI profiles can complicate interpretation.
- Multiaxial diagnosis requires comprehensive personality assessment.
Purpose of the Study:
- To investigate the utility of integrating Millon Clinical Multiaxial Inventory (MCMI) data with MMPI code types.
- To determine if combining these objective inventories clarifies MMPI descriptors.
- To identify distinct patient subgroups for enhanced diagnostic accuracy.
Main Methods:
- Utilized high-point code data from the Millon Clinical Multiaxial Inventory (MCMI).
- Integrated MCMI data with the Minnesota Multiphasic Personality Inventory (MMPI) 78/87 code type.
- Employed cluster analysis to identify distinct patient groups.
Main Results:
- The addition of MCMI data successfully clarified contradictory MMPI descriptors.
- Three distinct clusters emerged: interpersonally acting-in, emotionally acting-out, and emotionally acting-in.
- The combined MMPI/MCMI approach demonstrated utility in identifying specific subgroups.
Conclusions:
- Combining the MMPI and MCMI offers a robust method for clarifying personality assessment.
- The identified clusters provide a framework for understanding distinct patient presentations.
- This objective test battery approach supports multiaxial diagnosis aligned with DSM-III criteria.