Factorial Validation of the Millon Clinical Multiaxial Inventory III (MCMI-III) in Bolivian University Students

Authors

DOI:

https://doi.org/10.22544/rcps.v44i02.11

Keywords:

Personality, Psychopathology, Adaptation, Psychometrics, Validation, MCMI-III

Abstract

The Millon Clinical Multiaxial Inventory (MCMI-III) is a widely used measurement scale for personality and psychopathology whose construct validity has been confirmed over time. The participants were 459 Bolivian university students between 17 and 30 years old, who voluntarily answered an ad hoc questionnaire of sociodemographic elements and the MCMI-III questionnaire. The analyses were oriented to confirm the psychometric properties of the scale based on both total scores and prototypical scores through confirmatory factorial analysis of two models: the original four-factor model and the one proposed by Alareqe et al. (2021), which consists of three factors: internalizing pathology, externalizing pathology, and general state of psychological disturbance. As results, the three-factor model is confirmed except for discriminant validity, which suggests a unifactorial structure. Both models are invariant for sex. The implications of the research and its limitations are presented.

Author Biographies

Alhena L. Alfaro Urquiola, Universidad de Oviedo, Oviedo, España

Master's degree in Research Methods in Psychology. Psychologist and research associate at the University of Oviedo, Oviedo, Spain. Her work focuses on psychometrics and mental health, with experience in projects on addictions, dating violence, and the validation of psychological instruments. She has worked as a psychotherapist and teacher in Bolivia.

Arena Denis Orozco Ramírez, Universidad Católica Boliviana, La Paz, Bolivia

Psychologist specializing in Systemic Family Therapy. She has volunteered with an international mission and the La Paz Departmental Prosecutor's Office in Bolivia, providing support to victims of sexual violence. She currently works in clinical practice.

Francisco Javier Herrero Diez, Universidad de Oviedo, Oviedo, España

PhD in Psychology and Full Professor in the Department of Psychology at the University of Oviedo, Oviedo, Spain. His research focuses on the Methodology of Behavioral Sciences, specializing in data analysis, computational simulation, observational methodology, and the development of expert systems applied to the Health Sciences.

Francisco Javier Rodríguez-Díaz, Universidad de Oviedo, Oviedo, España

Professor of Psychology at the University of Oviedo, Oviedo, Spain, and PhD from the University of Santiago de Compostela, Galicia, Spain. His research interests include personality, psychological assessment and treatment, community psychology, and legal psychology. He has led established research groups and has a substantial body of internationally recognized scientific publications.

References

Alareqe, N., Roslan, S., Nordin, M., Ahmad, N., & Taresh, S. (2021). Psychometric Properties of the Millon Clinical Multiaxial Inventory–III in an Arabic Clinical Sample Compared With American, Italian, and Dutch cultures. Frontiers in Psychology, 12, 562619. https://doi.org/10.3389/fpsyg.2021.562619

Asociación Americana de Psiquiatría. (2014). Manual diagnóstico y estadístico de los trastornos mentales DSM-5. Editorial Médica Panamericana.

Choca, J., & Grossman, S. (2015). Evolution of the Millon Clinical Multiaxial Inventory. Journal of Personality Assessment, 97(6), 541-549. https://doi.org/10.1080/00223891.2015.105575

Craig, R. J., & Bivens, A. (1998). Factor Structure of the MCMI-III. Journal of Personality Assessment, 70(1), 190-196. https://doi.org/10.1207/s15327752jpa7001_13

Dyce, J. A., O'Connor, B. P., Parkins, S. Y., & Janzen, H. L. (1997). Correlational structure of the MCMI-III personality disorder scales and comparisons with other data sets. Journal of Personality Assessment, 69(3), 568–582. https://doi.org/10.1207/s15327752jpa6903_10

Feist, J., Feist, G., & Roberts, T.-A. (2013). Teorías de la personalidad. McGraw Hill.

Ferrando, P. J., Lorenzo-Seva, U., Hernández-Dorado, A., & Muñiz, J. (2022). Decálogo para el Análisis Factorial de los Ítems de un Test. Psicothema, 34(1), 7-17. https://doi.org/10.7334/psicothema2021.456

Forero, C., Maydeu-Olivares, A., & Gallardo-Pujol, D. (2009). Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation. Structural Equation Modeling, 16(4), 625-641. https://doi.org/10.1080/10705510903203573

Gurven, M., von Rueden, C., Massenkoff, M., Kaplan, H., & Lero, M. (2012). How Universal Is the Big Five? Testing the Five-Factor Model of Personality Variation Among Forager–Farmers in the Bolivian Amazon. Journal of Personality and Social Psychology, 104(2), 354-370. http://dx.doi.org/10.1037/a0030841.supp

Haddy, C., Strack, S., & Choca, J. (2005). Linking Personality Disorders and Clinical Syndromes on the MCMI-III. Journal of Personality Assessment, 84(2), 193-204. https://doi.org/10.1207/s15327752jpa8402_09

Herrero-Diez, F. (2022). Prueba de la invariancia en el Análisis Factorial Confirmatorio (AFC). Report DPAM#05.07.4. Oviedo.

Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118

Millon, T., Davis, R., & Millon, C. (2007). MCMI-III Inventario Clínico Multiaxial de Millon III. Manual. TEA ediciones.

Pinto Tapia, B. (2009). Amor y personalidad en los Aymaras. Verbo Divino.

Richaud de Minzi, M., Oros, L., & Lemos, V. (2006). Una adaptación preliminar a la Argentina del Inventario Clínico Multiaxial de Millon III. Revista Argentina de Clinica Psicologica, 15(1), 55-62.

Rossi, G., & Derksen, J. (2015). International Adaptations of the Millon Clinical Multiaxial Inventory: Construct Validity and Clinical Applications. Journal of Personality Assessment, 97(6), 572-590. https://doi.org/10.1080/00223891.2015.1079531

Rossi, G., & Simonsen, E. (2010). Empirical evidence for a four factor framework of personality disorder organization: multigroup confirmatory factor analysis of the Millon Clinical Multiaxial Inventory-III personality disorder scales across Belgian and Danish data samples. Journal of Personality Disorders, 24(1), 128-150. https://doi.org/10.1521/pedi.2010.24.1.128

Rossi, G., van der Ark, L., & Sloore, H. (2007). Factor Analysis of the Dutch-Language Version of the MCMI-III. Journal of Personality Assessment,, 88(2), 144-157. https://doi.org/10.1080/00223890701267977

Roth Unzueta, E. (2012). Análisis multivariado en la investigación psicológica: Modelado predictivo y causal con SPSS y AMOS. Universidad Católica Boliviana "San Pablo".

Salessi, S., & Omar, A. (2019). Validez discriminante, predictiva e incremental de la escala de comportamientos laborales proactivos de Belschak y Den Hartog. Revista Costarricense de Psicología, 38(1),75-93. https://doi.org/10.22544/rcps.v38i01.05

Sánchez, R. O. (2003). Theodore Millon, una teoría de la personalidad y su patología. Psico-USF, 8(2),163-173. https://doi.org/10.1590/S1413-82712003000200008

Schulmeyer, M. (2016). La formación en evaluación psicológica en carreras de psicología de Bolivia. Interamerican Journal of Psychology, 50(2), 288-300. http://www.redalyc.org/articulo.oa?id=28447010011

Souci, M., & Vinet, E. (2013). Examen psicométrico exploratorio del Millon Clinic Moltiaxial Inventory III (MCMI-III) en población penitenciaria chilena. Salud & Sociedad, 4(2), 168-184.

Published

2025-12-31

How to Cite

Alfaro Urquiola, A. L., Orozco Ramírez, A. D., Herrero Diez, F. J., & Rodríguez-Díaz, F. J. (2025). Factorial Validation of the Millon Clinical Multiaxial Inventory III (MCMI-III) in Bolivian University Students. Costa Rican Journal of Psychology, 44(2), 1–14. https://doi.org/10.22544/rcps.v44i02.11