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开发校准到通用数学指标的简短疲劳量表:内容平衡重要吗?

Developing brief fatigue short forms calibrated to a common mathematical metric: is content-balancing important?

作者信息

Cook Karon F, Choi Seung W, Johnson Kurt L, Amtmann Dagmar

机构信息

Department of Rehabilitation Medicine, University of Washington, Seattle, WA.

出版信息

Patient Relat Outcome Meas. 2010 Aug;2010(1):65-71. doi: 10.2147/PROM.S7585.

Abstract

There are clinical and research settings in which concerns about respondent burden make the use of longer self-report measures impractical. Though computer adaptive testing provides an efficient strategy for measuring patient reported outcomes, the requirement of a computer interface makes it impractical for some settings. This study evaluated how well brief short forms, constructed from a longer measure of patient reported fatigue, reproduced scores on the full measure. When the items of an item bank are calibrated using an item response theory model, it is assumed that the items are fungible units. Theoretically, there should be no advantage to balancing the content coverage of the items. We compared short forms developed using a random item selection process to short forms developed with consideration of the items relation to subdomains of fatigue (ie, physical and cognitive fatigue). Scores on short forms developed using content balancing more successfully predicted full item bank scores than did scores on short forms developed by random selection of items.

摘要

在临床和研究环境中,由于担心受访者负担,使用较长的自我报告测量方法不切实际。虽然计算机自适应测试为测量患者报告的结果提供了一种有效的策略,但计算机界面的要求使其在某些环境中不实用。本研究评估了由较长的患者报告疲劳测量量表构建的简短形式在完整量表上再现分数的效果。当使用项目反应理论模型对项目库中的项目进行校准时,假设这些项目是可互换的单位。从理论上讲,平衡项目的内容覆盖范围应该没有优势。我们将通过随机项目选择过程开发的简短形式与考虑项目与疲劳子领域(即身体和认知疲劳)的关系而开发的简短形式进行了比较。使用内容平衡开发的简短形式的分数比通过随机选择项目开发的简短形式的分数更成功地预测了完整项目库的分数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa6b/3417899/689c64463728/prom-1-065f1.jpg

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