Faculty of Medicine, Department of Medical Education, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Faculty of Education, Department of Education Management, Akdeniz University, Antalya, Turkey.
BMC Med Educ. 2022 Feb 11;22(1):94. doi: 10.1186/s12909-022-03153-9.
The objective of this study is to reveal on the basis of the item response theory (IRT) the validity and reliability evidence for the data obtained from the scale prepared to determine the satisfaction with distance education in students studying in medical schools.
This is a quantitative study exploring IRT and measurement invariance evidence in developing a scale. The scale whose IRT evidence was explored was the Distance Education Satisfaction Scale (DESS). The data were obtained from 1332 medical school students who were studying at various universities. The data were analysed using the confirmatory factor analysis (CFA), multidimensional and unidimensional IRT, and measurement invariance.
A 20-item construct with 3 sub-factors was found for DESS. This construct was unable to pass the iteration limit in the multidimensional IRT analysis. A unidimensional IRT was used assuming that the 3 sub-factors were locally independent.
The least informative items were item 23, 24 and 25 in Factor 1, item 3 in Factor 2, and items 13 and 18 in Factor 3. The most informative items of DESS were those that had adaptive, useful expressions that had meaningful content and were able to provide educator support, which are the properties emphasized in the literature with respect to satisfaction with distance education. A measurement invariance test made based on gender revealed that DESS satisfied measurement invariance by meeting the compliance indexes required for configural, metric, scalar and strict invariance as recommended in the literature. The results showed that it is possible to make comparisons on the basis of gender using DESS.
本研究旨在基于项目反应理论(IRT)揭示为医学院学生远程教育满意度量表所获得的数据的效度和信度证据。
这是一项探索量表开发的 IRT 和测量不变性证据的定量研究。探索 IRT 证据的量表是远程教育满意度量表(DESS)。数据来自于在不同大学学习的 1332 名医学生。使用验证性因素分析(CFA)、多维和单维 IRT 以及测量不变性对数据进行分析。
DESS 发现了一个包含 3 个亚因素的 20 项结构。该结构在多维 IRT 分析中无法通过迭代限制。假设 3 个亚因素是局部独立的,使用了单维 IRT。
因子 1 中的第 23、24 和 25 项、因子 2 中的第 3 项和因子 3 中的第 13 和 18 项是最没有信息量的项目。DESS 最具信息量的项目是那些具有适应性、有用的表达,具有有意义的内容并能够提供教育者支持的项目,这是文献中强调的远程教育满意度的特性。基于性别进行的测量不变性检验表明,DESS 满足了文献中推荐的组态、度量、标度和严格不变性所需的合规指标,从而满足了测量不变性。结果表明,使用 DESS 可以基于性别进行比较。