Evidence map›Paper›PMID 39593050›Full record

ArticleBMC medical education2024

The cultural adaption and validation of the Self-Regulated Learning Perception Scale (SRLPS) and the development of its short version in Chinese medical students.

Chunyu Xin, Xuemei Cui, Yuxin Song, Ruixue Zhang, Ning Ding, Deliang Wen

Abstract readValidation Study
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Measurement Invariance of Self-Regulated Learning Perception Scale in Medical Students.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chunyu XinInstitute of Health Professions Education Assessment and Reform, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, China.
Xuemei CuiMedical and Health Industry College, Shenyang Medical College, Shenyang, China.
Yuxin SongInstitute of Health Professions Education Assessment and Reform, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, China.
Ruixue ZhangInstitute of Foreign Languages, China Medical University, Shenyang, China.
Ning DingInstitute of Health Professions Education Assessment and Reform, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, China. nding@cmu.edu.cn.
Deliang WenInstitute of Health Professions Education Assessment and Reform, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, China. dlwen@cmu.edu.cn.

Funding

Education Program of Social Science Planning Fund of Liaoning Province in 2021 L21DED010Medical Education Research Project of China Medical University YDJK2021081
6 · The paper itself

Abstract

backgroundSelf-regulated learning (SRL) is a pivotal skill in the digital era, closely correlating to academic performance and professional development, particularly within medicine, where rapid advancements in knowledge and technology demand continuous learning. The Self-Regulated Learning Perception Scale (SRLPS), validated for reliability and validity, is a critical tool for assessing SRL among medical students. However, its application in Chinese medical education remains largely unexplored. This study aims to adapt the SRLPS for Chinese medical students and to develop a concise version to reduce participant burden and enhance the scale's practicality and generalizability.

methodsTwo stages of surveys were conducted. In Stage 1, SRLPS was translated into Chinese through forward translation, back translation, and review and then was administered to 339 medical students. To assess the internal reliability and construct validity of the Chinese version of SRLPS, we calculated Cronbach's α values and conducted Confirmatory Factor Analysis (CFA), respectively. According to psychometric performance, some items were removed to create a short version of SRLPS (SRLPS-S). In Stage 2, the SRLPS-S was administered to 736 medical students to verify its reliability and construct validity using Cronbach's α and CFA. Wilcoxon rank-sum tests were used to examine the associations between self-regulated learning perceptions and personal and household characteristics, including gender, maternal education level, and annual household income.

resultsThe Chinese SRLPS demonstrated acceptable internal consistency reliability and construct validity, although the elevated Cronbach's α indicated possible item redundancy. The SRLPS-S exhibited satisfactory internal consistency reliability and construct validity, confirming the four-domain structure of the original SRLPS. Wilcoxon Rank-sum test showed students' self-regulated learning positively linked to higher maternal education levels, higher annual household income, and male gender.

conclusionThe Chinese SRLPS and its short version are reliable and valid for assessing self-regulated learning. These scales can assist educators in identifying students who might require additional support in their learning strategies and can also be used for personal development. The short version is recommended for its enhanced psychometric properties and greater cost-efficiency.

Indexed as

PsychometricsStudents, MedicalAdultChinaFemaleHumansLearningMaleReproducibility of ResultsSurveys and QuestionnairesTranslationsYoung AdultChineseMedical studentsScale validationSelf-Regulated Learning Perception ScaleShort version development

Identifiers

PMID39593050
PMCPMC11600941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.