The factor structure of the Motivated Strategies for Learning Questionnaire (MSLQ): new methodological approaches and evidence

Author:

de Araujo JhonysORCID,Gomes Cristiano Mauro AssisORCID,Jelihovschi Enio GalinkinORCID

Abstract

Abstract Background The area of self-regulated learning integrates the fields of metacognition and self-regulation and assumes that the student is an active processor of information capable of self-regulating his learning by putting together the cognitive, metacognitive, and motivational components. The Motivated Strategies for Learning Questionnaire (MSLQ) is a benchmark for the measurement of self-regulated learning. However, the field of study does not show adequate evidence of its structural validity. The vast majority of studies involving this question present serious methodological mistakes, compromising the evidence of validity. Objective Our study investigates the structural validity of MSLQ including all 15 scales and corrects relevant mistakes in the previous studies. Method We tested different models through item confirmatory factor analysis in a convenience sample of 670 college students (M = 22.8 years, SD = 5.2) from a public Brazilian university in the technological area. The models with the ML, MLR, MLM and WLMSV estimators. Results Only WLSMV produced models with acceptable fit. The final model has a bi-factor structure with a general factor (self-regulated learning), 15 components as first-order factors, and four broad components as second-order factors. Twelve first-order components, all second-order components and the general factor had acceptable reliability. The components’ elaboration, intrinsic goal orientation and metacognitive self-regulation, did not show acceptable reliability, in terms of McDonald’s omega. Conclusion Considering the worldwide importance of the MSLQ, we do not recommend the use of the measurement of these components for clinical practice and psychoeducational diagnosis until new studies show that this low reliability only occurs in our sample. Our study shows new evidence, correcting many previous methodological mistakes and producing initial evidence favorable to the factor structure of the MSLQ.

Publisher

Springer Science and Business Media LLC

Reference48 articles.

1. Adesope, O., Hunsu, N., Van W., Bernard J., Austin, B., Richards, R.F. & Dutta, P. (2017). Work in progress: Assessing engineering students’ motivation and learning strategies-a psychometric analysis of the motivated strategies for learning questionnaire. ASEE Annual Conference and Exposition, Conference Proceedings, 2017-June. https://doi.org/10.18260/1-2%2D%2D29144

2. Alkjarusi, H., Neisler, O., Al-Barwani, T., Clayton, D., Khan, M., Al-Yahmadi, H., & Al-Kalbani, M. (2012). Psychometric properties of the motivated strategies for learning questionnaire for. College Student Journal, 46(3), 567–581 https://www.researchgate.net/publication/256349252_Psychometric_properties_of_the_Motivated_Strategies_for_Learning_Questionnaire_for_Sultan_Qaboos_University_students.

3. Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007.

4. Carroll, K. A., & Harris, C. M. (2020). Using A repetitive instructional intervention to improve students’ higher-order thinking skills. College Teaching, 69(2), 82–90. https://doi.org/10.1080/87567555.2020.1823310.

5. Casali, N., Ghisi, M., Rizzato, R., Meneghetti, C., & De Beni, R. (2022). Validation of the “study-anxiety” questionnaire: A scale for the initial assessment of university students seeking psychological help. Journal of Psychopathology and Behavioral Assessment, 44, 1158–1168. https://doi.org/10.1007/s10862-022-09982-8.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3