Quantitative and Mixed Methods Research Methodologies, Educational Studies, University of Cincinnati, Cincinnati, OH, USA.
Department of Science Education, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
Korean J Med Educ. 2024 Jun;36(2):175-188. doi: 10.3946/kjme.2024.294. Epub 2024 May 30.
This study evaluated the underlying subdomain structure of the Self-Directed Learning Readiness Scale (SDLRS) for medical students and refined the instrument to measure the subdomains to provide evidence for construct validity. Developing self-directed learners is a well-recognized goal amongst medical educators. The SDLRS has been frequently used, however, lack of construct validity makes it difficult to interpret results.
To identify the valid subdomains of the SDLRS, items were calibrated with the graded response model (GRM) and results were used to construct a 30-item short form. Short-form validity was evaluated by examining the correspondence between the total scores from the short form and the original instrument for individual students.
A five-subdomain model explained the SDLRS item response data reasonably well. These included: (1) initiative and independence in learning, (2) self-concept as an effective learner, (3) openness to learning opportunity, (4) love of learning, and (5) acceptance for one's own learning. The unidimensional GRM for each subdomain fits the data better than multi-dimensional models. The total scores from the refined short form and the original form were correlated at 0.98 and the mean difference was 1.33, providing evidence for validation. Nearly 91% of 179 respondents were accurately classified within the low, average, and high readiness groups.
Sufficient evidence was obtained for the validity and reliability of the refined 30-item short-form targeting five subdomains to measure medical students' readiness to engage in self-directed learning.
本研究评估了医学生自主学习准备量表(SDLRS)的潜在子领域结构,并对该工具进行了细化,以测量子领域,为构建效度提供证据。培养自主学习者是医学教育者公认的目标。SDLRS 已经被频繁使用,但是,由于缺乏构建效度,使得结果难以解释。
为了确定 SDLRS 的有效子领域,使用分级响应模型(GRM)对项目进行校准,并使用结果构建了 30 项的简短形式。通过检查短表和原始量表总分之间的对应关系,评估短表的有效性。
五种子领域模型合理地解释了 SDLRS 项目反应数据。这些包括:(1)学习的主动性和独立性,(2)作为有效学习者的自我概念,(3)对学习机会的开放性,(4)热爱学习,以及(5)接受自己的学习。每个子领域的单维 GRM 比多维模型更符合数据。精炼后的短表和原始形式的总分相关系数为 0.98,平均差异为 1.33,为验证提供了证据。179 名受访者中,近 91%的人在低、中、高准备度组内被准确分类。
针对医学生自主学习准备度的五个子领域,获得了足够的证据来证明 30 项简化短表的有效性和可靠性。