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采用因子分析和结构方程建模方法对印度医学生自主学习准备量表的内部结构进行验证。

Validation of Internal structure of Self-Directed Learning Readiness Scale among Indian Medical Students using factor analysis and the Structural equation Modelling Approach.

机构信息

Department of Physiology, Sri Ramachandra Medical College and Research Institute, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, Tamil Nadu, India.

Medical Education Unit, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain.

出版信息

BMC Med Educ. 2021 Dec 11;21(1):614. doi: 10.1186/s12909-021-03035-6.

Abstract

BACKGROUND

The Self-Directed Learning Readiness Scale (SDLRS) is a tool that helps in the assessment of the readiness of the students to pursue Self-Directed Learning (SDL). There are no documented studies on the validation of internal structure of the SDLRS among Indian medical students. Hence, the objective of this study is to validate the internal structure of SDLRS among Indian medical students using factor analysis and the Structural Equation Modelling (SEM) approach.

METHODS

We administered Fisher's 40-item SDLRS to 750 students after receiving the ethics clearance and the author's permission and taking written informed consent from all the study participants (response rate: 92%). The exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and Cronbach's alpha were performed using SPSS version 25 and the Lavaan package of R version 3.1.2.

RESULTS

The values of the comparative fit index (CFI), standardised root-mean-square residual (SRMR), and root mean square error of approximation (RMSEA) were ≥ 0.9, ≤ 0.08, and ≤ 0.08, respectively, for a model fit to be acceptable. EFA showed that except for Q2 (loading score: 0.210), Q12 (loading score: 0.384), Q13 (loading score: 0.362), and Q25 (loading score: -0.219), all the items loaded well. After the exclusion of the aforementioned items, the factor loading scores for the items in the self-management, desire for learning, and self-control factors ranged from 0.405 to 0.753 (Cronbach α: 0.775), 0.396 to 0.616 (Cronbach α: 0.730), and 0.427 to 0.556 (Cronbach α: 0.799), respectively. The updated model was used for CFA, which displayed a good model fit.

CONCLUSIONS

The resultant model consisting of 36 items is shown to have internal structure validity for Indian version of SDLRS, which can be used to assess medical students.

摘要

背景

自我导向学习准备量表(SDLRS)是一种帮助评估学生自我导向学习(SDL)准备程度的工具。目前还没有针对印度医学生 SDLRS 内部结构验证的记录研究。因此,本研究的目的是使用因子分析和结构方程建模(SEM)方法对印度医学生的 SDLRS 内部结构进行验证。

方法

在获得伦理审查和作者许可,并获得所有研究参与者的书面知情同意后(回应率:92%),我们向 750 名学生发放了 Fisher 的 40 项 SDLRS。使用 SPSS 版本 25 和 R 版本 3.1.2 的 Lavaan 包进行探索性因子分析(EFA)、验证性因子分析(CFA)和 Cronbach 的 alpha。

结果

模型拟合的比较拟合指数(CFI)、标准化根均方残差(SRMR)和根均方误差逼近(RMSEA)值分别为≥0.9、≤0.08 和≤0.08,表明模型拟合可接受。EFA 表明,除了 Q2(加载得分:0.210)、Q12(加载得分:0.384)、Q13(加载得分:0.362)和 Q25(加载得分:-0.219)外,所有项目的加载情况都很好。在排除上述项目后,自我管理、学习欲望和自我控制因子中项目的因子负荷得分范围为 0.405-0.753(Cronbach α:0.775)、0.396-0.616(Cronbach α:0.730)和 0.427-0.556(Cronbach α:0.799)。更新后的模型用于 CFA,显示出良好的模型拟合度。

结论

由 36 个项目组成的模型显示出 SDLRS 印度版本的内部结构有效性,可用于评估医学生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/357b/8666083/4a4cde1dea74/12909_2021_3035_Fig1_HTML.jpg

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