Skip to main content
Log in

Bias and Millon clinical multiaxial inventory (MCMI-II) diagnosis

  • Published:
Journal of Psychopathology and Behavioral Assessment Aims and scope Submit manuscript

Abstract

In the current study, the degree of bias is calculated for each of the personality disorder and clinical syndrome scales of the MCMI-II. In general, most of the MCMI-II scales are prone to only mild or moderate biases. However, the paranoid personality disorder, somatoform, bipolar: manic, thought disorder, and delusional disorder scales are prone to severe biases. When the MCMI-II is utilized to make diagnostic decisions, bipolar and schizophrenic disorders are apt to be grossly underestimated. The implications of bias in diagnostic prevalence rates are discussed and an equation is offered which provides for adjustments to be made when the percentage of positive MCMI-II test results are used to determine prevalence rates for clinical or research populations. The observation is made that imperfect sensitivity and specificity for the MCMI-II scales will result in inaccurate estimates of personality disorders and clinical syndromes when the MCMI-II is used to survey various populations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • American Psychiatric Association (1980).Diagnostic and statistical manual of mental disorders (3rd ed.). Washington, DC: Author.

    Google Scholar 

  • American Psychiatric Association (1987).Diagnostic and statistical manual of mental disorders (3rd ed., revised). Washington, DC: Author.

    Google Scholar 

  • Baldessarini, R. J., Finkelstein, S., & Arana, G. W. (1983). The predictive power of diagnostic tests and the effect of prevalence of illness.Archives of General Psychiatry, 40, 569–573.

    Google Scholar 

  • Craig, R. J. (1988). A psychometric study of the prevalence of DSM-III personality disorders among treated opiate addicts.International Journal of Addictions, 23, 115–124.

    Google Scholar 

  • Gibertini, M., Brandenburg, N. A., & Retzlaff, P. D. (1986). The operating characteristics of the Millon clinical multiaxial inventory.Journal of Personality Assessment, 50, 554–567.

    Google Scholar 

  • Joffe, R. T., Swinson, R. P., & Regan, J. J. (1988). Personality features of obsessive-compulsive disorder.American Journal of Psychiatry, 145, 1127–1129.

    Google Scholar 

  • McCabe, S. P. (1984). Millon clinical multiaxial inventory. In D. Keyser & R. Sweetland (Eds.),Test critiques (Vol. 1, pp. 455–465). Kansas City, MO: Westport.

    Google Scholar 

  • McCann, J. T. (1989). MMPI personality disorder scales and the MCMI: Concurrent validity.Journal of Clinical Psychology, 45, 365–369.

    Google Scholar 

  • McCann, J. T., & Suess, J. F. (1988). Clinical applications of the MCMI: The 1-2-3-8 codetype.Journal of Clinical Psychology, 44, 181–186.

    Google Scholar 

  • Meehl, P. E., & Rosen, A. (1955). Antecedent probability and the efficiency of psychometric signs, patterns, or cutting scores.Psychological Bulletin, 52, 194–216.

    Google Scholar 

  • Millon, T. (1983).Millon clinical multiaxial inventory manual (3rd ed.). Minneapolis, MN: National Computer Systems.

    Google Scholar 

  • Millon, T. (1985). The MCMI provides a good assessment of DSM-III disorders: The MCMI-II will prove even better.Journal of Personality Assessment, 49, 379–391.

    Google Scholar 

  • Millon, T. (1986). The MCMI and DSM-III: Further commentaries.Journal of Personality Assessment, 50, 205–207.

    Google Scholar 

  • Millon, T. (1987).Manual for the Millon clinical multiaxial inventory-II (MCMI-II). Minneapolis, MN: National Computer Systems.

    Google Scholar 

  • Quade, D., Lachenbruch, P. A., Whaley, F. S., McClish, D. K., & Haley, R. W. (1980). Effects of misclassifications on statistical inferences in epidemiology.American Journal of Epidemiology, 111, 503–515.

    Google Scholar 

  • Repko, G. R., & Cooper, R. (1985). The diagnosis of personality disorder: A comparison of MMPI profile, Millon inventory, and clinical judgment in a workers' compensation population.Journal of Clinical Psychology, 41, 867–881.

    Google Scholar 

  • Rogan, W. J., & Gladen, B. (1978). Estimating prevalence from the results of a screening test.American Journal of Epidemiology, 107, 71–76.

    Google Scholar 

  • Widiger, T. A., & Sanderson, C. (1987). The convergent and discriminant validity of the MCMI as a measure of the DSM-III personality disorders.Journal of Personality Assessment, 51, 228–242.

    Google Scholar 

  • Widiger, T., Williams, J., Spitzer, R., & Frances, A. (1985). The MCMI as a measure of DSM-III.Journal of Personality Assessment, 49, 366–378.

    Google Scholar 

  • Widiger, T., Williams, J., Spitzer, R., & Frances, A. (1986). The MCMI and DSM-III: A brief rejoinder to Millon (1985).Journal of Personality Assessment, 50, 198–204.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

McCann, J.T. Bias and Millon clinical multiaxial inventory (MCMI-II) diagnosis. J Psychopathol Behav Assess 12, 17–26 (1990). https://doi.org/10.1007/BF00960451

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00960451

Key words

Navigation