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使用拉施分析探索整骨疗法临床教学问卷的测量属性。

Exploring the measurement properties of the osteopathy clinical teaching questionnaire using Rasch analysis.

作者信息

Vaughan Brett

机构信息

College of Health & Biomedicine, Victoria University, Melbourne, Australia.

出版信息

Chiropr Man Therap. 2018 May 3;26:13. doi: 10.1186/s12998-018-0182-2. eCollection 2018.

DOI:10.1186/s12998-018-0182-2
PMID:29744031
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5932865/
Abstract

BACKGROUND

Clinical teaching evaluations are common in health profession education programs to ensure students are receiving a quality clinical education experience. Questionnaires students use to evaluate their clinical teachers have been developed in professions such as medicine and nursing. The development of a questionnaire that is specifically for the osteopathy on-campus, student-led clinic environment is warranted. Previous work developed the 30-item Osteopathy Clinical Teaching Questionnaire. The current study utilised Rasch analysis to investigate the construct validity of the Osteopathy Clinical Teaching Questionnaire and provide evidence for the validity argument through fit to the Rasch model.

METHODS

Senior osteopathy students at four institutions in Australia, New Zealand and the United Kingdom rated their clinical teachers using the Osteopathy Clinical Teaching Questionnaire. Three hundred and ninety-nine valid responses were received and the data were evaluated for fit to the Rasch model. Reliability estimations (Cronbach's alpha and McDonald's omega) were also evaluated for the final model.

RESULTS

The initial analysis demonstrated the data did not fit the Rasch model. Accordingly, modifications to the questionnaire were made including removing items, removing person responses, and rescoring one item. The final model contained 12 items and fit to the Rasch model was adequate. Support for unidimensionality was demonstrated through both the Principal Components Analysis/t-test, and the Cronbach's alpha and McDonald's omega reliability estimates. Analysis of the questionnaire using McDonald's omega hierarchical supported a general factor (quality of clinical teaching in osteopathy).

CONCLUSION

The evidence for unidimensionality and the presence of a general factor support the calculation of a total score for the questionnaire as a sufficient statistic. Further work is now required to investigate the reliability of the 12-item Osteopathy Clinical Teaching Questionnaire to provide evidence for the validity argument.

摘要

背景

临床教学评估在卫生专业教育项目中很常见，以确保学生获得高质量的临床教育体验。医学和护理等专业已开发出学生用于评估临床教师的问卷。有必要开发一份专门针对整骨疗法校内学生主导诊所环境的问卷。先前的工作开发了30项整骨疗法临床教学问卷。本研究利用拉施分析来调查整骨疗法临床教学问卷的结构效度，并通过与拉施模型的拟合为效度论证提供证据。

方法

澳大利亚、新西兰和英国四所机构的高年级整骨疗法学生使用整骨疗法临床教学问卷对他们的临床教师进行评分。共收到399份有效回复，并对数据进行评估以确定其与拉施模型的拟合度。还对最终模型进行了信度估计（克朗巴哈系数和麦克唐纳欧米伽系数）。

结果

初步分析表明数据不适合拉施模型。因此，对问卷进行了修改，包括删除项目、删除个人回复以及对一个项目重新计分。最终模型包含12个项目，与拉施模型的拟合度良好。通过主成分分析/t检验以及克朗巴哈系数和麦克唐纳欧米伽系数信度估计，证明了对单维度性的支持。使用麦克唐纳欧米伽层次分析法对问卷进行分析，支持了一个一般因素（整骨疗法临床教学质量）。

结论

单维度性的证据和一般因素的存在支持将问卷总分作为一个充分统计量进行计算。现在需要进一步开展工作，以调查12项整骨疗法临床教学问卷的信度，为效度论证提供证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/2f66866f423c/12998_2018_182_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/61f1382ddf4e/12998_2018_182_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/8c117f94a41f/12998_2018_182_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/af323dc85a29/12998_2018_182_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/7a56045e572a/12998_2018_182_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/251aefa5dbff/12998_2018_182_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/2f66866f423c/12998_2018_182_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/61f1382ddf4e/12998_2018_182_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/8c117f94a41f/12998_2018_182_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/af323dc85a29/12998_2018_182_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/7a56045e572a/12998_2018_182_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/251aefa5dbff/12998_2018_182_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3087/5932865/2f66866f423c/12998_2018_182_Fig7_HTML.jpg

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