Validity of Adult Psychopathology Model Using Psychiatric Patients Sample From a Developing Country: Confirmatory Factor Analysis

IF 9 Q1 PSYCHIATRY
N. A. Alareqe, S. Hassan, E. Kamarudin, Musheer Abdulwahid Al-Jaberi, M. Nordin, Nadeem Mohamed Ashureay, Lubna Ali Mohammed
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引用次数: 6

Abstract

Objectives: This study aimed to test and validate the two-factors measurement model of the Millon Clinical Multiaxial Inventory (MCMI). Specifically, this paper reported construct, convergent and divergent validities of the internalizing-externalizing MCMI model of adult psychopathology using a psychiatric sample from a developing society, the Republic of Yemen. Methods: MCMI was distributed among 232 outpatients from the Hospital of Taiz City and two private psychiatry clinics in Yemen; data were collected using structured interviews in four months. The Maximum Likelihood (ML) was used in Exploratory Factor Analysis (EFA) and the Confirmatory Factory Analysis (CFA) to explore and confirm the latent underlying MCMI and verifying evidence of convergent and discriminate validity. Results: The CFA results indicated that MCMI was a good fit for the internalizing-externalizing model of adult psychopathology. The results of the CFA confirmed that evidence of convergent and discriminant validity characterized MCMI with the internalizing and externalizing model. Conclusion: The adult psychopathology of internalizing and externalizing is a valid model by MCMI with ten personality disorders and eight clinical syndromes. Thus, practical clinical implications are suggested.
发展中国家精神病人样本成人精神病理模型的有效性:验证性因子分析
目的:本研究旨在检验和验证百万临床多轴量表(MCMI)的双因素测量模型。具体而言,本文报告了内在化-外在化成人精神病理学MCMI模型的构建、收敛和发散效度,使用了一个来自发展中社会也门共和国的精神病学样本。方法:对也门塔伊兹市医院和2家私立精神科诊所的232名门诊患者进行MCMI调查;数据是在四个月内通过结构化访谈收集的。在探索性因子分析(EFA)和验证性工厂分析(CFA)中使用最大似然(ML)来探索和确认潜在的MCMI,并验证收敛效度和区别效度的证据。结果:CFA结果表明MCMI符合成人精神病理学的内化-外化模型。CFA的结果证实了收敛效度和判别效度的证据,表明MCMI具有内化和外化模型的特征。结论:内化和外化的成人精神病理是MCMI对10种人格障碍和8种临床证候的有效模型。因此,提出了实际的临床意义。
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来源期刊
Mental Illness
Mental Illness PSYCHIATRY-
CiteScore
1.10
自引率
0.00%
发文量
3
审稿时长
10 weeks
期刊介绍:
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