Shenyang Normal University, College of Education, Shenyang, China.
Department of Education Sciences & Professional Programs, University of Missouri-St. Louis, St. Louis, Missouri.
Int J Methods Psychiatr Res. 2019 Mar;28(1):e1771. doi: 10.1002/mpr.1771. Epub 2019 Feb 7.
Multiple-item measuring instruments are frequently used in a wide range of disciplines for the purpose of research in substantive areas. The quality of items in these instruments determine to a large extent whether the results are trustworthy. In this paper, we suggested to use property fitting analysis to evaluate the appropriateness of items content validity based on explicit item property criteria.
Using Center for Epidemiologic Studies Depression scale as an example, item property fitting analyses via multidimensional scaling model was used to quantitatively evaluate the properties of items based on rating data from 12 counselors.
The results of the analyses indicated that using explicit item property criteria to select items for subsequent psychometric analyses improved the item quality in terms of reliability and factor structure.
Item property fitting analysis seemed to provide the researcher a viable quantitative method when evaluating item content validity.
多项测量工具在多个学科中被广泛用于实质性领域的研究目的。这些工具中的项目质量在很大程度上决定了结果是否可信。在本文中，我们建议使用属性拟合分析，根据明确的项目属性标准，评估项目内容效度的适当性。
以《流行病学研究抑郁量表》为例，通过多维尺度模型的项目属性拟合分析，根据 12 名顾问的评分数据，对项目的属性进行定量评估。
分析结果表明，使用明确的项目属性标准来选择后续心理计量分析的项目，提高了项目的可靠性和因子结构的质量。
当评估项目内容效度时，项目属性拟合分析似乎为研究人员提供了一种可行的定量方法。
