Kerry Matthew James, Wang Rongmei, Bai Jinbing
a Department of Management, Technology, & Economics , ETH , Zurich , Switzerland.
b School of Nursing , Tianjin Medical University , Tianjin , China.
J Interprof Care. 2018 Sep;32(5):634-637. doi: 10.1080/13561820.2018.1459515. Epub 2018 Apr 12.
This short report aims to bring evidence from modern psychometric methods to bear on a popularly deployed questionnaire in interprofessional education (IPE) assessment. Specifically, three interrelated problems raised against the Readiness for Interprofessional Learning Scale (RIPLS) are examined in a study with 280 medical and nursing student participants. Firstly, findings support RIPLS overall reliability, but fail to support subscale reliabilities. Secondly, findings indicate a strong, general factor underlying the RIPLS that supports unidimensional interpretations. Thirdly, findings support the RIPLS potential sensitivity to changes with appropriate lower ranges for our pre-training student sample. Recommendations for refinement to the RIPLS include: use of more appropriate reliability indices; factor generalizability; and a subset of items. More generally, refinement is possible, whereas RIPLS disuse or continued misuse with problematic scales is likely to hinder progress in the field of IPE.
本简短报告旨在运用现代心理测量方法的证据,来考量一份在跨专业教育(IPE)评估中广泛使用的问卷。具体而言,在一项有280名医学和护理专业学生参与的研究中,对针对跨专业学习准备量表(RIPLS)提出的三个相互关联的问题进行了考察。首先,研究结果支持RIPLS的整体信度,但不支持各子量表的信度。其次,研究结果表明RIPLS背后存在一个强大的一般因素,支持单维解释。第三,研究结果支持RIPLS对变化具有潜在敏感性,对于我们的预培训学生样本而言,其下限范围是合适的。对RIPLS进行改进的建议包括:使用更合适的信度指标;因素可推广性;以及项目子集。更普遍地说,改进是可行的,而废弃RIPLS或继续滥用存在问题的量表可能会阻碍IPE领域的进展。