Open AccessEvidence of Construct Validity of Computer-Based Tests for Clinical Reasoning: Instrument Validation Study
Author(s) -
Tianming Zuo,
Baozhi Sun,
Xu Guan,
Bin Zheng,
Bo Qü
Publication year - 2021
Publication title -
jmir serious games
Language(s) - English
Resource type - Journals
ISSN - 2291-9279
DOI - 10.2196/17670
Subject(s) - construct (python library) , construct validity , test (biology) , medical education , psychology , clinical psychology , psychometrics , medicine , computer science , paleontology , biology , programming language
Background Clinical reasoning (CR) is a fundamental skill for all medical students. In our medical education system, however, there are shortcomings in the conventional methods of teaching CR. New technology is needed to enhance our CR teaching, especially as we are facing an influx of new health trainees. China Medical University (CMU), in response to this need, has developed a computer-based CR training system (CMU-CBCRT). Objective We aimed to find evidence of construct validity of the CMU-CBCRT. Methods We recruited 385 students from fifth year undergraduates to postgraduate year (PGY) 3 to complete the test on CMU-CBCRT. The known-groups technique was used to evaluate the construct validity of the CBCRT by comparing the test scores among 4 training levels (fifth year MD, PGY-1, PGY-2, and PGY-3). Results We found that test scores increased with years of training. Significant differences were found in the test scores on information collection, diagnosis, and treatment and total scores among different training years of participants. However, significant results were not found for treatment errors. Conclusions We provided evidence of construct validity of the CMU-CBCRT, which could determine the CR skills of medical students at varying early stage in their careers.