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自我报告的人格病理学具有复杂的结构,强加简单结构会降低测试信息。

Self-Reported Personality Pathology Has Complex Structure and Imposing Simple Structure Degrades Test Information.

作者信息

Pettersson Erik, Turkheimer Eric

机构信息

a Karolinska Institute.

b University of Virginia.

出版信息

Multivariate Behav Res. 2014 Jul-Aug;49(4):372-89. doi: 10.1080/00273171.2014.911073.

DOI:10.1080/00273171.2014.911073
PMID:26765804
Abstract

Although simple structure is often used as a theoretical guideline for rotation of exploratory factor structures, its empirical foundation is sometimes not investigated. We examined the degree of simple structure in 2 self-report inventories advocated for the description of personality pathology. The multivariate complexity of the inventories was compared against simulated factorial solutions with increasing degrees of simple structure. Results revealed a high degree of complexity in both inventories, regardless of whether focusing on a few broad or many narrow factors and whether items or scales were analyzed. It is concluded that Thurstone's (1934) simple structure criteria are rarely fulfilled in multivariate personality pathology solutions, and, therefore, that alternate rotations represent equally justifiable ways to operationalize the space. Furthermore, using iterative test development to impose simple structure where none originally existed increased standard errors around the factor scores in the interstitial areas between imposed simple structure dimensions. In both simulated and real data, multidimensional item response theory test information functions based on complex solutions demonstrated that test information was uniformly distributed across the space. In contrast, in simple structure solutions, information was weak in areas of the space where nonconforming items had been removed. Implications are discussed.

摘要

尽管简单结构常被用作探索性因素结构旋转的理论指导方针,但其实证基础有时并未得到研究。我们考察了2份主张用于描述人格病理学的自陈量表中的简单结构程度。将这些量表的多元复杂性与具有不同简单结构程度的模拟因子解进行了比较。结果显示,无论关注的是几个宽泛因素还是许多狭窄因素,也无论分析的是项目还是量表,两份量表都具有高度复杂性。得出的结论是,在多元人格病理学解决方案中,瑟斯顿(1934年)的简单结构标准很少得到满足,因此,交替旋转代表了同样合理的空间操作方式。此外,使用迭代测试开发在原本不存在简单结构的地方强行施加简单结构,会增加在强行施加的简单结构维度之间的间隙区域中因子得分周围的标准误差。在模拟数据和实际数据中,基于复杂解的多维项目反应理论测试信息函数均表明,测试信息在整个空间中均匀分布。相比之下,在简单结构解决方案中,在去除不符合要求项目的空间区域,信息较弱。文中讨论了相关影响。

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