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情感测量工具开发中的项目反应理论:一个例证

Item response theory in affective instrument development: an illustration.

作者信息

Beck C T, Gable R K

机构信息

University of Connecticut, School of Nursing, Storrs, USA.

出版信息

J Nurs Meas. 2001 Spring-Summer;9(1):5-22.

Abstract

The benefits of item response theory (IRT) analysis in obtaining empirical support for construct validity make it an essential step in the instrument development process. IRT analysis can result in finer construct interpretations that lead to more thorough descriptions of low- and high-scoring respondents. A critical function of IRT is its ability to determine the adequacy with which the attitude continuum underlying each dimension is assessed by the respective items in an instrument. Many nurse researchers, however, are not reaping the benefits of IRT in the development of affective instruments. The purpose of this article is to familiarize nurse researchers with this valuable approach through a description of the Facets computer program. Facets uses a one parameter (i.e., item difficulty) Rasch measurement model. Data from a survey of 525 new mothers that assessed the psychometric properties of the Postpartum Depression Screening Scale are used to illustrate the Facets program. It is hoped that IRT will gain increased prominence in affective instrument development as more nurse researchers become aware of computer programs such as Facets to assist in analysis.

摘要

项目反应理论(IRT)分析在为结构效度提供实证支持方面的益处,使其成为工具开发过程中的关键步骤。IRT分析能够得出更精细的结构解释,从而对低分和高分受访者进行更全面的描述。IRT的一项关键功能是它能够确定工具中各个项目对每个维度潜在态度连续体的评估充分程度。然而,许多护士研究者在情感类工具的开发中并未从IRT中获益。本文旨在通过对Facets计算机程序的描述,让护士研究者熟悉这一有价值的方法。Facets使用单参数(即项目难度)Rasch测量模型。一项对525名新妈妈的调查数据用于评估产后抑郁筛查量表的心理测量特性,以此来说明Facets程序。希望随着越来越多的护士研究者意识到诸如Facets这样的计算机程序有助于分析,IRT在情感类工具开发中能得到更多重视。

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