现代与流行的二分计分项目信度计算方法之比较

IF 1 4区心理学 Q4 PSYCHOLOGY, MATHEMATICAL

Applied Psychological Measurement Pub Date : 2022-06-01 Epub Date: 2022-04-14 DOI:10.1177/01466216221084210

Sébastien Béland, Carl F Falk

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引用次数: 0

摘要

最近对可靠性系数的研究主要集中在连续项目上，包括对Cronbach 's alpha的批评。虽然两个新的基于模型的可靠性系数已经提出了二分类项目(Dimitrov, 2003a,b;Green & Yang, 2009a)，这些方法还没有相互比较或与其他流行的可靠性估计(如ω， alpha和最大下界)进行比较。我们寻求对这些基于模型的可靠性系数之一的计算改进，此外，还进行了初始蒙特卡罗模拟，以使用二分类数据比较系数。我们的结果表明，这种基于模型的方法的改进是必要的，而基于模型的方法通常是优越的。

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A Comparison of Modern and Popular Approaches to Calculating Reliability for Dichotomously Scored Items.

Recent work on reliability coefficients has largely focused on continuous items, including critiques of Cronbach's alpha. Although two new model-based reliability coefficients have been proposed for dichotomous items (Dimitrov, 2003a,b; Green & Yang, 2009a), these approaches have yet to be compared to each other or other popular estimates of reliability such as omega, alpha, and the greatest lower bound. We seek computational improvements to one of these model-based reliability coefficients and, in addition, conduct initial Monte Carlo simulations to compare coefficients using dichotomous data. Our results suggest that such improvements to the model-based approach are warranted, while model-based approaches were generally superior.

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来源期刊

Applied Psychological Measurement Multiple-

CiteScore

2.30

自引率

8.30%

发文量

期刊介绍： Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.