医学生自我调节学习感知量表的测量不变性

IF 3.1 4区 医学 Q1 Medicine
Bilge Delibalta, Yıldız Yıldırım, Gülşen Taşdelen Teker
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Multigroup confirmatory factor analysis (MG-CFA) was employed to assess measurement invariance across genders and years of medical education, categorized as preclinical and clinical years. Invariance was evaluated by comparing model fit indices across successive stages of invariance testing. RESULTS The findings demonstrated that the SRLPS achieved full measurement invariance in both sexes, confirming its suitability for valid comparisons between male and female medical students, with ΔCFI ≤0.01. For year of medical education, configural invariance was established, indicating that the 4-factor structure of the SRLPS is consistent across preclinical and clinical students. However, only partial metric invariance was achieved, suggesting that factor loadings for some items differ between preclinical and clinical groups. CONCLUSIONS The measurement invariance should be evaluated before using a scale for subgroup comparison. 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引用次数: 0

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Measurement Invariance of Self-Regulated Learning Perception Scale in Medical Students.

BACKGROUND Measurement invariance analysis is a critical step in evaluating the structural validity of measurement instruments, ensuring that a scale measures its intended constructs equally across different subgroups. Such analyses are essential before making subgroup comparisons. This study investigated the measurement invariance of the Self-Regulated Learning Perception Scale (SRLPS), a tool designed to assess self-regulated learning levels among medical students. The SRLPS consists of 4 categories: motivation and action to learning, planning and goal setting, strategies for learning and assessment, and lack of self-directedness. MATERIAL AND METHODS A cross-sectional study was conducted involving 878 medical students spanning the first to final years. Multigroup confirmatory factor analysis (MG-CFA) was employed to assess measurement invariance across genders and years of medical education, categorized as preclinical and clinical years. Invariance was evaluated by comparing model fit indices across successive stages of invariance testing. RESULTS The findings demonstrated that the SRLPS achieved full measurement invariance in both sexes, confirming its suitability for valid comparisons between male and female medical students, with ΔCFI ≤0.01. For year of medical education, configural invariance was established, indicating that the 4-factor structure of the SRLPS is consistent across preclinical and clinical students. However, only partial metric invariance was achieved, suggesting that factor loadings for some items differ between preclinical and clinical groups. CONCLUSIONS The measurement invariance should be evaluated before using a scale for subgroup comparison. The SRLPS can be used to make valid comparisons between male and female medical students, but cannot be used for comparison between preclinical and clinical year students.

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来源期刊
Medical Science Monitor
Medical Science Monitor MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.40
自引率
3.20%
发文量
514
审稿时长
3.0 months
期刊介绍: Medical Science Monitor (MSM) established in 1995 is an international, peer-reviewed scientific journal which publishes original articles in Clinical Medicine and related disciplines such as Epidemiology and Population Studies, Product Investigations, Development of Laboratory Techniques :: Diagnostics and Medical Technology which enable presentation of research or review works in overlapping areas of medicine and technology such us (but not limited to): medical diagnostics, medical imaging systems, computer simulation of health and disease processes, new medical devices, etc. Reviews and Special Reports - papers may be accepted on the basis that they provide a systematic, critical and up-to-date overview of literature pertaining to research or clinical topics. Meta-analyses are considered as reviews. A special attention will be paid to a teaching value of a review paper. Medical Science Monitor is internationally indexed in Thomson-Reuters Web of Science, Journals Citation Report (JCR), Science Citation Index Expanded (SCI), Index Medicus MEDLINE, PubMed, PMC, EMBASE/Excerpta Medica, Chemical Abstracts CAS and Index Copernicus.
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