Item response theory for measurement validity.
Item response theory for measurement validity.
复制标题
测量有效性的项目响应理论。
DOI：
10.3969/j.issn.1002-0829.2014.03.010
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发表时间：
2014-06
期刊：
影响因子：
--
通讯作者：
Kao ST
中科院分区：
文献类型：
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作者：
Yang FM;Kao ST
项目反应理论(IRT)是评价量表效度的一种重要方法，但在精神病学领域尚未得到充分利用。IRT描述了潜在特质(例如，量表建议评估的结构)、量表中项目的属性以及受访者对个别项目的回答之间的关系。本文介绍了项目反应理论的基本前提、假设和方法。为了帮助解释这些概念，我们使用修改后的二进制(是/否)反应版本的流行病学研究中心抑郁量表的三个项目生成了一个假设量表，该量表对19399名受访者进行了测试。我们首先进行因子分析以确定三个项目的单维度，然后利用Mplus软件构建数据的两参数逻辑(2-PL)IRT模型，该方法既可以估计项目辨别力，也可以估计项目难度。本文还讨论了这一信息在临床和量表构建中的应用。
Item response theory (IRT) is an important method of assessing the validity of measurement scales that is underutilized in the field of psychiatry. IRT describes the relationship between a latent trait (e.g., the construct that the scale proposes to assess), the properties of the items in the scale, and respondents’ answers to the individual items. This paper introduces the basic premise, assumptions, and methods of IRT. To help explain these concepts we generate a hypothetical scale using three items from a modified, binary (yes/no) response version of the Center for Epidemiological Studies-Depression scale that was administered to 19,399 respondents. We first conducted a factor analysis to confirm the unidimensionality of the three items and then proceeded with Mplus software to construct the 2-Parameter Logic (2-PL) IRT model of the data, a method which allows for estimates of both item discrimination and item difficulty. The utility of this information both for clinical purposes and for scale construction purposes is discussed.