Suppr超能文献

运用混合Rasch模型分析诺丁汉健康量表的项目功能差异。

Analyzing differential item functioning of the Nottingham Health Profile by Mixed Rasch Model.

作者信息

Yüksel Selcen, Elhan Atilla Halil, Gökmen Derya, Küçükdeveci Ayşe Adile, Kutlay Şehim

机构信息

Department of Biostatistics, Ankara Yıldırım Beyazıt University Medical School, Ankara, Turkey.

Department of Biostatistics, Ankara University Medical School, Ankara, Turkey.

出版信息

Turk J Phys Med Rehabil. 2018 Apr 2;64(4):300-307. doi: 10.5606/tftrd.2018.2796. eCollection 2018 Dec.

Abstract

OBJECTIVES

This study aims to evaluate whether items in the Turkish version of the Nottingham Health Profile (NHP) function differently according to age, sex, and duration of pain using the Mixed Rasch Model (MRM).

PATIENTS AND METHODS

The NHP data of patients with low back pain from a previous study was analyzed. To analyze differential item functioning (DIF) within the items of the NHP, the MRM was used. Age, sex, and duration of pain were considered factors which could cause DIF. The most powerful factor to define latent classes derived from the MRM was estimated using the Rasch tree method.

RESULTS

The two-class mixture version of the nominal response model was identified as the best fitting model for the physical mobility, sleep, and social isolation sections. For the physical mobility dimension, some items showed DIF by age and for the social isolation dimension some items showed DIF by sex. For the sleep dimension, latent classes were unable to be explained by age, sex, and duration of pain. Items in other dimensions of the NHP were DIF-free and no items showed DIF according to age, sex, and duration of pain.

CONCLUSION

The results of this study may shed light on explaining the different response behavior of patients on the items of the NHP. Age and sex were found to be variables affecting item responses of NHP. Contrary to expectations, duration of pain did not cause DIF for any item. From the perspective of DIF, it can be concluded that NHP scale is a robust scale in terms of validity.

摘要

目的

本研究旨在使用混合Rasch模型(MRM)评估土耳其版诺丁汉健康量表(NHP)中的项目是否根据年龄、性别和疼痛持续时间具有不同的功能。

患者与方法

分析了先前一项研究中腰痛患者的NHP数据。为了分析NHP项目中的差异项目功能(DIF),使用了MRM。年龄、性别和疼痛持续时间被视为可能导致DIF的因素。使用Rasch树方法估计了定义从MRM派生的潜在类别的最有力因素。

结果

名义反应模型的两类混合版本被确定为身体活动、睡眠和社会隔离部分的最佳拟合模型。对于身体活动维度,一些项目显示出年龄导致的DIF,对于社会隔离维度,一些项目显示出性别导致的DIF。对于睡眠维度,潜在类别无法用年龄、性别和疼痛持续时间来解释。NHP其他维度的项目没有DIF,并且没有项目根据年龄、性别和疼痛持续时间显示出DIF。

结论

本研究结果可能有助于解释患者在NHP项目上的不同反应行为。发现年龄和性别是影响NHP项目反应的变量。与预期相反,疼痛持续时间并未导致任何项目出现DIF。从DIF的角度来看,可以得出结论,NHP量表在有效性方面是一个稳健的量表。

相似文献

7
Real and Artificial Differential Item Functioning in Polytomous Items.多分类项目中的真实和人为差异项目功能
Educ Psychol Meas. 2015 Apr;75(2):185-207. doi: 10.1177/0013164414534258. Epub 2014 May 16.

本文引用的文献

1
A Statistical Test for Differential Item Pair Functioning.差异项目对功能的统计检验。
Psychometrika. 2015 Jun;80(2):317-40. doi: 10.1007/s11336-014-9408-y. Epub 2014 Sep 16.
7
Parameter recovery and model selection in mixed Rasch models.混合 Rasch 模型中的参数恢复和模型选择。
Br J Math Stat Psychol. 2012 May;65(2):251-62. doi: 10.1111/j.2044-8317.2011.02020.x. Epub 2011 Jun 15.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验