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Reliability and Model Fit

机译：可靠性和模型拟合

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The purpose of this article is to highlight the distinction between the reliability of test scores and the fit of psychometric measurement models, reminding readers why it is important to consider both when evaluating whether test scores are valid for a proposed interpretation and/or use. It is often the case that an investigator judges both the reliability of scores and the fit of a corresponding measurement model to be either acceptable or unacceptable for a given situation, but these are not the only possible outcomes. This article focuses on situations in which model fit is deemed acceptable, but reliability is not. Data were simulated based on the item characteristics of the PROMIS (Patient Reported Outcomes Measurement Information System) anxiety item bank and analyzed using methods from classical test theory, factor analysis, and item response theory. Analytic techniques from different psychometric traditions were used to illustrate that reliability and model fit are distinct, and that disagreement among indices of reliability and model fit may provide important information bearing on a particular validity argument, independent of the data analytic techniques chosen for a particular research application. We conclude by discussing the important information gleaned from the assessment of reliability and model fit.
机译：本文的目的是强调测试成绩的可靠性与心理测量模型的拟合度之间的区别，提醒读者为什么在评估测试成绩对拟议的解释和/或使用是否有效时，必须同时考虑两者。通常情况下，调查人员会判断分数的可靠性和相应度量模型的拟合度在给定情况下是可接受的还是不可接受的，但这并不是唯一可能的结果。本文关注的是模型拟合被认为是可接受的，但可靠性却不可接受的情况。根据PROMIS（患者报告结果测量信息系统）焦虑项目库的项目特征对数据进行模拟，并使用经典测试理论，因素分析和项目响应理论中的方法进行分析。来自不同心理计量学传统的分析技术被用来说明可靠性和模型拟合是截然不同的，并且可靠性和模型拟合指标之间的分歧可能会提供与特定有效性论证有关的重要信息，而与为特定研究选择的数据分析技术无关应用。最后，我们讨论了从可靠性和模型拟合评估中收集的重要信息。

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