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运用线性逻辑测试模型,为日常活动问卷评估提供构建效度支持。

Supporting construct validity of the Evaluation of Daily Activity Questionnaire using Linear Logistic Test Models.

机构信息

Swiss Paraplegic Research, Guido A. Zäch Strasse 4, 6207, Nottwil, Switzerland.

Department of Health Sciences and Health Policy, University of Lucerne, Frohburgstrasse 3, 6002, Lucerne, Switzerland.

出版信息

Qual Life Res. 2019 Jun;28(6):1627-1639. doi: 10.1007/s11136-019-02146-4. Epub 2019 Mar 9.

Abstract

PURPOSE

Construct validity is commonly assessed by applying statistical methods to data. However, purely empirical methods cannot explain what happens between the attribute and the instrument scores, which is the core of construct validity. Linear Logistic Test Models (LLTMs) can provide such explanation by decomposing item difficulties into a weighted sum of theoretical item properties. In this study, we aim to support construct validity of the Evaluation of Daily Activity Questionnaire (EDAQ) by using item properties accounting for item difficulties.

METHODS

Dichotomized responses to the EDAQ were analyzed with (1) the Rasch model (to estimate item difficulties), and (2) LLTMs (to predict item difficulties). Seven properties of the items were identified and rated in ordinal scales by 39 Occupational Therapists worldwide. Aggregated metric estimates-the weights used to predict item difficulties in LLTMs-were derived from the ratings using seven cumulative link mixed models. Estimated and predicted item difficulties were compared.

RESULTS

The Rasch model showed acceptable fit and unidimensionality for a sample of 42 locally independent EDAQ items. The LLTM plus error showed significantly better fit than the LLTM. In the former, three of the seven properties were not significant, and the corresponding model including only the significant properties was used to predict item difficulties; they explained 77.5% of the variance in estimated item difficulties.

CONCLUSION

A satisfactory theoretical explanation of what makes an activity of daily living task more difficult than another has been provided by a LLTM plus error model, therefore supporting construct validity of the EDAQ.

摘要

目的

构建效度通常通过应用统计方法对数据进行评估。然而,纯粹的经验方法无法解释属性与量表得分之间的关系,而这正是构建效度的核心。线性逻辑测试模型(LLTM)可以通过将项目难度分解为理论项目属性的加权和来提供这种解释。在这项研究中,我们旨在通过考虑解释项目难度的项目属性来支持日常活动评估问卷(EDAQ)的构建效度。

方法

对 EDAQ 的二分响应进行了分析(1)采用 Rasch 模型(估计项目难度),(2)采用 LLTM(预测项目难度)。识别出项目的七个属性,并由全球 39 位职业治疗师在有序量表中进行评分。使用七个累积链接混合模型从评分中得出用于预测 LLTM 中项目难度的聚合度量估计值-权重。比较了估计的和预测的项目难度。

结果

Rasch 模型对 42 个本地独立的 EDAQ 项目样本显示出可接受的拟合度和单维性。LLTM 加误差的拟合度显著优于 LLTM。在前一种模型中,七个属性中的三个没有显著意义,相应的仅包含显著属性的模型用于预测项目难度;它们解释了估计项目难度的 77.5%的方差。

结论

通过 LLTM 加误差模型为日常生活活动任务的难度差异提供了令人满意的理论解释,从而支持了 EDAQ 的构建效度。

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