Date of Award
Patients diagnosed with personality disorders (PDs) have higher morbidity and mortality rates than those without PDs. The DSM-5 PD diagnoses and the cluster system lack a theoretical and empirical basis, which hinders the development of knowledge about PDs and interventions for PDs. This present study attempts to add to this literature by forming PD groups using a combination of exploratory factor analysis (EFA) and latent class analysis (LCA) based on PD scores from the Millon Clinical Multiaxial Inventory-IV (MCMI-IV), a method recommended by Gorman and Primavera (1983). Participants were 251 English speaking males and females ages 18 to 75 seeking outpatient psychotherapy at a private non-profit clinic. The EFA yielded a four-factor model of the MCMI-IV, and the factors can be described as Neuroticism, Antagonism, Extraversion vs. Introversion, and Compulsivity vs. Defiance factors. The results of the LCA suggest a five-class solution, with classes that can be labeled Neuroticism, Antagonism, Depression and Anxiety, No PD, and Extraversion classes, which were then compared on MCMI-IV personality, clinical, and Grossman Facet scales. Latent classes and factors were matched on some PD scales, but there were also some notable differences. Future research directions are discussed.
Fisher, Amanda, "IDENTIFYING MCMI-IV PERSONALITY DISORDER SUBGROUPS USING EXPLORATORY FACTOR ANALYSIS AND LATENT CLASS ANALYSIS" (2020). Theses and Dissertations. 26.