Using taxometric analysis to distinguish a small latent taxon from a latent dimension with positively skewed indicators: the case of involuntary defeat syndrome.
Using taxometric analysis to distinguish a small latent taxon from a latent dimension with positively skewed indicators: the case of involuntary defeat syndrome.
复制标题
使用分类分析将小型潜在分类单元与具有正偏斜指标的潜在维度区分开来：非自愿失败综合症的情况。
DOI：
10.1037/0021-843x.113.1.145
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发表时间：
2004
影响因子：
4.6
通讯作者：
Keane,TerenceM
中科院分区：
文献类型：
--
作者：
Ruscio,John;Ruscio,AyeletMeron;Keane,TerenceM
SRH Bearh和N. Amir（2003）加入了关于抑郁结构的争论，他们分析了大学生对6个以躯体成分为主的贝克抑郁量表（BDI）项目的反应，并得出结论，他们发现了一个与非自愿失败综合征相对应的小潜在分类群。对这些分析的精确复制得到了几乎相同的分类结果，但对模拟分类和维度比较数据的平行分析显示，与BDI项目的相互相关性和倾斜分布相匹配的结果更符合维度而不是分类潜在结构。在临床样本分析与非偏斜指标进一步支持维度解释。作者讨论了在精神病理学研究中经常遇到的不利条件下进行和解释分类分析的方法策略，包括倾斜的指标和小的推定分类群。（PsycInfo数据库记录(c) 2022 APA，版权所有）
Joining the debate on the structure of depression, SRH Bearh and N. Amir (2003) analyzed college students' responses to 6 Beck Depression Inventory (BDI) items with predominantly somatic content and concluded that they identified a small latent taxon corresponding to involuntary defeat syndrome. An exact replication of these analyses yielded virtually identical taxometric results, but parallel analyses of simulated taxonic and dimensional comparison data matching the intercorrelations and skewed distributions of the BDI items showed the results to be more consistent with dimensional than with taxonic latent structure. Analyses in a clinical sample with nonskewed indicators further supported a dimensional interpretation. The authors discuss methodological strategies for conducting and interpreting taxometric analyses under the adverse conditions commonly encountered in psychopathology research, including skewed indicators and small putative taxa.(PsycInfo Database Record (c) 2022 APA, all rights reserved)