Estimating Test-Retest Reliability in the Presence of Self-Selection Bias and Learning/Practice Effects.

IF 1 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Applied Psychological Measurement Pub Date : 2024-11-01 Epub Date: 2024-09-17 DOI:10.1177/01466216241284585
William C M Belzak, J R Lockwood
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引用次数: 0

Abstract

Test-retest reliability is often estimated using naturally occurring data from test repeaters. In settings such as admissions testing, test takers choose if and when to retake an assessment. This self-selection can bias estimates of test-retest reliability because individuals who choose to retest are typically unrepresentative of the broader testing population and because differences among test takers in learning or practice effects may increase with time between test administrations. We develop a set of methods for estimating test-retest reliability from observational data that can mitigate these sources of bias, which include sample weighting, polynomial regression, and Bayesian model averaging. We demonstrate the value of using these methods for reducing bias and improving precision of estimated reliability using empirical and simulated data, both of which are based on more than 40,000 repeaters of a high-stakes English language proficiency test. Finally, these methods generalize to settings in which only a single, error-prone measurement is taken repeatedly over time and where self-selection and/or changes to the underlying construct may be at play.

估计存在自我选择偏差和学习/练习效应时的测验-重测信度。
重测信度通常是利用重测者的自然数据来估算的。在入学考试等情况下,考生会选择是否重考以及何时重考。这种自我选择可能会对重测信度的估计产生偏差,因为选择重测的人通常不能代表更广泛的测试人群,而且随着两次测试之间时间的推移,应试者之间在学习或练习效果方面的差异可能会增大。我们开发了一套从观察数据中估计重测信度的方法,可以减少这些偏差来源,其中包括样本加权、多项式回归和贝叶斯模型平均。我们使用经验数据和模拟数据(均基于一项高风险英语语言能力测试的 40,000 多名重测者)证明了使用这些方法在减少偏差和提高估计信度精度方面的价值。最后,这些方法适用于在一段时间内只重复进行单一的、易出错的测量,以及可能存在自我选择和/或基础结构变化的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
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.
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