Variable length testing using the ordinal regression model.
Variable length testing using the ordinal regression model.
复制标题
使用序数回归模型进行可变长度测试。
DOI：
10.1002/sim.5936
复制
发表时间：
2014
影响因子：
2
通讯作者：
Finkelman,MatthewD
中科院分区：
文献类型：
--
作者：
Smits,Niels;Finkelman,MatthewD
健康调查问卷通常由一系列问题组成，这些问题被加总以获得总分。设计调查表的一个重要考虑是尽量减少答卷人的负担。一种越来越流行的有效测量方法是计算机化的自适应测试;不幸的是，许多健康问卷不符合这种方法的要求。本文介绍了一种新的序贯方法，通过计算机有效地获得和分数，它没有这样的要求，是基于有序回归模型。在评估中，根据过去的回答预测未来的分数，当达到可接受的不确定性水平时，程序终止。进行了两个模拟研究，以说明该程序的实用性。第一个使用人工生成的症状评分，第二个是使用流行病学研究中心抑郁量表上的真实的反应的事后模拟。在这两项研究中，序贯方法大大减少了受访者的负担，同时保持了较高的总分质量。这种新方法的优点和局限性进行了讨论。版权所有© 2013约翰威利父子有限公司.
Health questionnaires are often built up from sets of questions that are totaled to obtain a sum score. An important consideration in designing questionnaires is to minimize respondent burden. An increasingly popular method for efficient measurement is computerized adaptive testing; unfortunately, many health questionnaires do not meet the requirements for this method. In this paper, a new sequential method for efficiently obtaining sum scores via the computer is introduced, which does not have such requirements and is based on the ordinal regression model. In the assessment, future scores are predicted from past responses, and when an acceptable level of uncertainty is achieved, the procedure is terminated. Two simulation studies were performed to illustrate the usefulness of the procedure. The first used artificially generated symptom scores, and the second was a post hoc simulation using real responses on the Center for Epidemiologic Studies Depression scale. In both studies, the sequential method substantially reduced the respondent burden while maintaining a high sum score quality. Benefits and limitations of this new methodology are discussed. Copyright © 2013 John Wiley & Sons, Ltd.