Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT's unidimensionality assumption.
Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT's unidimensionality assumption.
复制标题
DOI：
10.1007/s11136-009-9464-4
复制
发表时间：
2009-05
影响因子：
3.5
通讯作者：
Amtmann, Dagmar
中科院分区：
文献类型：
--
作者：
Cook, Karon F.;Kallen, Michael A.;Amtmann, Dagmar
目的验证性因子分析的拟合标准通常用于评价试题库的单一性。本研究探讨了这些统计值在多大程度上受到为衡量健康结果而开发的物项库的两个特征的影响：大量的物项和非正常数据。方法对模拟数据和观测数据进行分析。观察到的数据是对患者报告的结果测量信息系统（PROMIS）疼痛影响信息库的反应。模拟数据符合梯度响应模型，符合正态分布或反映观测数据的分布。验证性因素分析（CFA）、平行分析和双因素分析。结果scfa拟合值对数据分布和项目数敏感。在某些情况下，分配和项目数量的影响相当大。结论不建议采用传统的CFA拟合统计截止点和标准来建立单项信息库的单维性。调查方法比依赖公布的标准更受青睐。我们发现双因素分析在这方面很有吸引力，因为它允许评估次要维度的相对影响。除了这些方法学结论外，我们判断PROMIS疼痛影响库的项目足够单维，可以用于项目反应理论（IRT）建模。
PurposeConfirmatory factor analysis fit criteria typically are used to evaluate the unidimensionality of item banks. This study explored the degree to which the values of these statistics are affected by two characteristics of item banks developed to measure health outcomes: large numbers of items and nonnormal data.MethodsAnalyses were conducted on simulated and observed data. Observed data were responses to the Patient-Reported Outcome Measurement Information System (PROMIS) Pain Impact Item Bank. Simulated data fit the graded response model and conformed to a normal distribution or mirrored the distribution of the observed data. Confirmatory factor analyses (CFA), parallel analysis, and bifactor analysis were conducted.ResultsCFA fit values were found to be sensitive to data distribution and number of items. In some instances impact of distribution and item number was quite large.ConclusionsWe concluded that using traditional cutoffs and standards for CFA fit statistics is not recommended for establishing unidimensionality of item banks. An investigative approach is favored over reliance on published criteria. We found bifactor analysis to be appealing in this regard because it allows evaluation of the relative impact of secondary dimensions. In addition to these methodological conclusions, we judged the items of the PROMIS Pain Impact bank to be sufficiently unidimensional for item response theory (IRT) modeling.
登录
查看更多内容
DOI：
10.1080/10705519909540118
发表时间：
1999-01-01
影响因子：
6
作者：
Hu, Li-tze;Bentler, Peter M.
通讯作者：
Bentler, Peter M.
DOI：
10.1111/j.2044-8317.1981.tb00621.x
发表时间：
1981-01-01
影响因子：
2.6
作者：
MCDONALD, RP
通讯作者：
MCDONALD, RP
影响因子：
22.4
作者：
HU, LT;BENTLER, PM;KANO, Y
通讯作者：
KANO, Y
影响因子：
3.6
作者：
Floyd, FJ;Widaman, KF
通讯作者：
Widaman, KF
影响因子：
2.8
作者：
Mannion, AF;Elfering, A;Boos, N
通讯作者：
Boos, N