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莫肯随机累积量表模型在精神病学研究中的应用。

An application of Mokken's model for stochastic, cumulative scaling in psychiatric research.

作者信息

DeJong A, Molenaar I W

出版信息

J Psychiatr Res. 1987;21(2):137-49. doi: 10.1016/0022-3956(87)90014-8.

DOI:10.1016/0022-3956(87)90014-8
PMID:3585804
Abstract

Rating scales used in psychiatric research are often based on factor analysis. In practice, the resulting factors or dimensions will generally be empirically derived rather than based on theoretical considerations. In addition, it often proves difficult to determine their validity. It is argued that the use of an hierarchical scale may be a partial answer to these problems. This is illustrated by the analysis of data from two interview schedules, using Mokken's model for stochastic, cumulative scaling. Data were derived from a follow-up study of patients with a first life-time episode of non-affective, functional psychosis. Two scales for the assessment of psychopathology and social dysfunctioning were constructed. Scale statistics proved to be satisfactory, while the order of items in the scales corresponded to a priori theoretical expectations.

摘要

精神病学研究中使用的评定量表通常基于因素分析。在实践中,由此产生的因素或维度一般是通过实证得出的,而非基于理论考量。此外,往往很难确定它们的效度。有人认为,使用层次量表可能是解决这些问题的部分办法。对两份访谈问卷的数据进行分析可说明这一点,该分析使用了莫肯随机累积量表模型。数据来自对首次出现非情感性功能性精神病发作的患者的随访研究。构建了两个用于评估精神病理学和社会功能障碍的量表。量表统计结果令人满意,同时量表中的项目顺序与先验理论预期相符。

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