Exploratory and confirmatory factorial structure of the MCMI-III personality disorders: overlapping versus non-overlapping scales

Background and Objectives: The aim of this study was to explore the factorial structure of the 14 Personality Disorder (PD’s) scales of the MCMI-III for the overlapping and non-overlapping scales, independently. Previous exploratory studies using different factor extraction procedures inform that th...

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Detalles Bibliográficos
Autores: Cuevas, Lara, García Rodríguez, Luis Francisco, Aluja Fabregat, Antón, García, Oscar
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2008
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/62982
Acceso en línea:http://hdl.handle.net/10459.1/62982
Access Level:acceso abierto
Palabra clave:MCMI-III
Exploratory and confirmatory factorial analysis
Personality disorders
Descripción
Sumario:Background and Objectives: The aim of this study was to explore the factorial structure of the 14 Personality Disorder (PD’s) scales of the MCMI-III for the overlapping and non-overlapping scales, independently. Previous exploratory studies using different factor extraction procedures inform that the structure of MCMI-III personality disorders has between 2 and 4 factors. Methods: The present study used a large sample of 674 non-clinical subjects divided at random in two groups: a) calibration, and b) validation. In the calibration group, principal component analysis with orthogonal rotation was carried out, obtaining 2, 3 and 4 factors for the overlapping and non-overlapping scales independently. In the validation group, the three models were compared using confirmatory factorial analysis techniques. Results and Conclusions: The exploratory and confirmatory results indicate that the 4-factor solution is the most plausible. Although the congruence coefficients between non-overlapping and overlapping scales in the 4-factor solution were higher, confirmatory factor analysis showed that models designed from overlapping scales did not fit well to data.