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Conversion equations for modified scoring of the MMPI-168
1Department of Psychiatry, Medical College of Georgia, Augusta 30912, USA.
Journal of Personality Assessment
|December 1, 1980
Summary
The Minnesota Multiphasic Personality Inventory-168 (MMPI-168) demonstrates strong validity when compared to the full MMPI. Modified scoring enhances prediction for specific scales, offering a reliable shortened version for psychological assessment.
Area of Science:
- Psychological assessment
- Psychometrics
- Clinical psychology
Background:
- The Minnesota Multiphasic Personality Inventory (MMPI) is a widely used psychological assessment tool.
- A shorter version, the MMPI-168, has been developed to streamline administration and scoring.
- The validity and predictive utility of the MMPI-168, especially with modified scoring, require thorough investigation.
Purpose of the Study:
- To evaluate the statistical validity of the MMPI-168 against the full MMPI in a patient sample.
- To assess the impact of modified scoring on the MMPI-168's predictive capabilities, particularly for the Paranoia (Pa) and Schizophrenia (Sc) scales.
- To develop and validate transformation equations for estimating full MMPI scores from MMPI-168 raw scores.
Main Methods:
- Extraction of the MMPI-168 from the full MMPI for 300 patients.
- Scoring the MMPI-168 to include items typically excluded by Form R keys.
- Calculation of correlations between MMPI-168 and full MMPI scores.
- Development of substitution equations for score transformation.
Main Results:
- MMPI-168 correlations with the full MMPI ranged from .80 to .97, with a mean of .90, indicating satisfactory statistical validity.
- Modified scoring improved the predictability of the Pa and Sc scales.
- Developed transformation equations for MMPI-168 to full-scale score estimation, showing minimal differences from prior research except for Pa and Sc.
Conclusions:
- The MMPI-168 is a statistically valid shortened form of the MMPI.
- Modified scoring enhances the MMPI-168's utility, particularly for specific clinical scales.
- The developed transformation equations provide a reliable method for estimating full MMPI scores from MMPI-168 data.