University of Minnesota, Minneapolis, MN, USA.
Psychol Med. 2011 Jun;41(6):1151-63. doi: 10.1017/S0033291710001650. Epub 2010 Sep 22.
DSM-5 may mark the shift from a categorical classification of personality pathology to a dimensional system. Although dimensional and categorical conceptualizations of personality pathology are often viewed as competing, it is possible to develop categories (prototypes) from combinations of dimensions. Robust prototypes could bridge dimensions and categories within a single classification system.
To explore prototype structure and robustness, we used finite mixture modeling to identify empirically derived personality pathology prototypes within a large sample (n=8690) of individuals from four settings (clinical, college, community, and military), assessed using a dimensional measure of normal and abnormal personality traits, the Schedule for Nonadaptive and Adaptive Personality (SNAP). We then examined patterns of convergent and discriminant external validity for prototypes. Finally, we investigated the robustness of the dimensional structure of personality pathology.
The resulting prototypes were meaningful (externally valid) but non-robust (sample dependent). By contrast, factor analysis revealed that the dimensional structures underlying specific traits were highly robust across samples.
We interpret these results as further evidence of the fundamentally dimensional nature of an empirically based classification of personality pathology.
DSM-5 可能标志着从人格病理学的分类概念向维度系统的转变。尽管人格病理学的维度和分类概念通常被视为相互竞争,但从维度的组合中开发类别(原型)是可能的。强大的原型可以在单个分类系统中连接维度和类别。
为了探索原型结构和稳健性,我们使用有限混合建模在使用多维正常和异常人格特质量表(SNAP)评估的来自四个环境(临床、大学、社区和军队)的大量个体(n=8690)中识别经验衍生的人格病理学原型。然后,我们检查了原型的收敛和判别外部有效性模式。最后,我们研究了人格病理学的维度结构的稳健性。
所得原型是有意义的(具有外部有效性)但不稳定(依赖于样本)。相比之下,因子分析表明,特定特征背后的维度结构在样本间具有高度的稳健性。
我们将这些结果解释为对基于经验的人格病理学分类的基本维度性质的进一步证据。