Kaneda Toshikatsu, Takabatake Shinichi, Higashi Yasuhiro, Horishima Yuka, Somei Yuta, Nakaoka Kazuyo, Warabino Hiroshi, Kuwada Kousuke, Sakamoto Tomosaburo, Domen Kazuhisa
Department of Rehabilitation, Kansai Rehabilitation Hospital: 3-11-1 Sakuranocho, Toyonaka, Osaka 560-0054, Japan.
Doctoral Program in Functioning, Disability and Health Course, Graduate School of Comprehensive Rehabilitation, Osaka Prefecture University, Japan.
J Phys Ther Sci. 2020 Feb;32(2):148-155. doi: 10.1589/jpts.32.148. Epub 2020 Feb 14.
[Purpose] We developed a prototype version of the Self-Assessment Burden Scale-Motor as a screening questionnaire for the need of care based on the evaluation of patients' activities of daily living. The questionnaire is comprised of seven items, each of which is scored on a 7-point Likert scale. This study aimed to examine the psychometric properties of the questionnaire using Rasch analysis. [Participants and Methods] A total of 200 individuals completed the questionnaire. Rasch analysis to investigate the rating scale structure and examine the structural validity and reliability of the scale. The unidimensionality of the items was examined using the mean square infit values and principal component analysis of residuals. The separation reliability of the scale was also examined. [Results] The rating scale structure can be improved by collapsing several categories (from seven categories to four categories). Unidimensionality was found for seven items. The separation reliability was acceptable for item calibrations and persons. [Conclusion] Inclusion of seven items with a 4-category rating scale was appropriate for the Self-Assessment Burden Scale-Motor questionnaire. Future studies should examine the intra-rater reliability and the criterion-related validity in more depth and develop a new scale to evaluate cognitive function.
[目的] 我们开发了自我评估负担量表 - 运动版的原型，作为基于患者日常生活活动评估的护理需求筛查问卷。该问卷由七个项目组成，每个项目采用7点李克特量表评分。本研究旨在使用拉施分析来检验该问卷的心理测量特性。[参与者和方法] 共有200人完成了问卷。采用拉施分析来研究评分量表结构，并检验量表的结构效度和信度。使用均方内拟合值和残差主成分分析来检验项目的单维性。还检验了量表的区分信度。[结果] 通过合并几个类别（从七个类别合并为四个类别）可以改进评分量表结构。七个项目具有单维性。项目校准和人员的区分信度是可接受的。[结论] 包含七个项目且采用4分类评分量表适用于自我评估负担量表 - 运动问卷。未来的研究应更深入地检验评分者内部信度和与标准相关的效度，并开发一个新的量表来评估认知功能。
