关于可靠性的一般理论框架。

IF 1.5 3区 心理学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Yang Liu, Jolynn Pek, Alberto Maydeu-Olivares
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引用次数: 0

摘要

信度是在假设某种潜变量测量模型的情况下,衡量观察分数与潜分数(反映建构)之间密切程度的重要指标。我们提出了一个关于信度的总体理论框架,重点是测量潜得分与观察得分之间的关联。这一框架受 McDonald(Psychometrika,76,511)回归框架的启发,该框架强调测定系数是可靠性的衡量标准。我们将 McDonald(Psychometrika, 76, 511)的框架扩展到决定系数之外,并引入了可靠性测量的四个必要条件(可估计性、正常化、对称性和不变性)。我们还列举了一些理论实例来说明不同的信度测量方法,并报告了一项数字研究,以展示不同信度测量方法的行为。最后,我们讨论了信度系数的使用,并概述了未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On a general theoretical framework of reliability.

Reliability is an essential measure of how closely observed scores represent latent scores (reflecting constructs), assuming some latent variable measurement model. We present a general theoretical framework of reliability, placing emphasis on measuring the association between latent and observed scores. This framework was inspired by McDonald's (Psychometrika, 76, 511) regression framework, which highlighted the coefficient of determination as a measure of reliability. We extend McDonald's (Psychometrika, 76, 511) framework beyond coefficients of determination and introduce four desiderata for reliability measures (estimability, normalization, symmetry, and invariance). We also present theoretical examples to illustrate distinct measures of reliability and report on a numerical study that demonstrates the behaviour of different reliability measures. We conclude with a discussion on the use of reliability coefficients and outline future avenues of research.

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来源期刊
CiteScore
5.00
自引率
3.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including: • mathematical psychology • statistics • psychometrics • decision making • psychophysics • classification • relevant areas of mathematics, computing and computer software These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists. New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.
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