Compilation of questionnaire for quality evaluation on problem-based learning of Neurology and analysis of its reliability and validity
10.3760/cma.j.cn116021-20191205-00256
- VernacularTitle:神经病学PBL教学质量评估问卷的设计及信度、效度分析
- Author:
Yongjie XIONG
1
;
Yichi ZHANG
;
Zheng XUE
;
Suiqiang ZHU
;
Baojun WAN
Author Information
1. 华中科技大学同济医学院附属同济医院神经科，武汉 430030
- From:
Chinese Journal of Medical Education Research
2020;19(9):1112-1116
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To design and compile quality evaluation questionnaire on problem-based learning (PBL) of Neurology and to test its reliability and validity.Methods:Referring to the framework of the evaluation system and according to the characteristics of the discipline, we designed the questionnaire on PBL of Neurology. The clinical medical students who participated in neurologic PBL course were taken as the objects of investigation. The reliability of the questionnaire and the reliability of internal consistency were tested. Correlation analysis and exploratory factor analysis were used to evaluate the validity of the questionnaire.Results:The questionnaire on PBL of Neurology included three first-level indicators: teaching plan quality evaluation, teaching method evaluation and teaching quality evaluation, containing 6 second-level indicators and 25 third-level indicators. The correlation coefficient ρ=0.990 ( P<0.01) showed that the retest reliability was good. The cronbach's α coefficient is 0.901, meeting the internal consistency reliability requirement. And the content validity correlation coefficient was 0.307-0.7 ( P<0.05), indicating that each third-level index had a significant correlation with the total score, and the questionnaire item design was good. The three first-level indicators were used as common factors to evaluate the structural validity by exploratory factor analysis and identify the direction of optimization. Conclusion:The questionnaire has good reliability and validity, which can be used as a tool for scientific evaluation on PBL of neurology, and also provide an optimization direction for further research in the future.
