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Millon Clinical Multiaxial Inventory III (MCMI-III) and Communication Styles in a Sample of University Students

Published online by Cambridge University Press:  12 November 2013

Beatriz Caparrós Caparrós*
Affiliation:
Universitat de Girona (Spain)
Esperanza Villar Hoz
Affiliation:
Universitat de Girona (Spain)
*
*Correspondence concerning this article should be addressed to Beatriz Caparrós Caparrós. Departamento de Psicologia. Universitat de Girona. Plaza Sant Domènec, 9. 17071. Girona (Spain). E-mail: beatriz.caparros@udg.edu.
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Abstract

Despite the controversy generated by the conceptualization of personality disorders, it is well established that the inflexibility of coping styles and dysfunctional behaviors associated with them can lead to a considerable impairment in interpersonal relationships. Although communication is one of the most important processes in relating to others, few empirical studies have been undertaken on the influence of dysfunctional personality patterns on communication styles, which is the main objective of the present cross-sectional study. A total of 529 Spanish university students were assessed using the Millon Clinical Multiaxial Inventory III (MCMI-III), Millon, Davis, and Millon, 1997, and the Communicator Style Measure (Norton, 1978). Results show statistically significant relationships between different personality patterns and styles of communication and suggest that narcissistic, histrionic and compulsive patterns are related to positive communication styles in a non-clinical sample. The implications of this study are discussed.

Information

Type
Research Article
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2013 
Figure 0

Table. 1.Brief Description of Clinical personality patterns and traits of severe personality typology of MCMI-III.

Figure 1

Table 2.Descriptive statistics, results of t test by gender and reliability of MCMI-III and CSM scales (Cronbach’s α).

Figure 2

Table 3.Correlations matrix between personality disorders and communication styles in the overall sample.

Figure 3

Table 4.Hierarchical regression analysis for the prediction of communication styles (standard β coefficients)