International Journal of Academic Research in Business and Social Sciences

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The Chinese Version of the Regulation of Learning Questionnaire (RLQ): A Reliability and Validity Study

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The present study aimed to translate, adapt and validate the Chinese version of the Regulation of Learning Questionnaire (RLQ) to assess students’ regulation of learning within the Chinese educational context. A total of 600 college students from China participated in the study. The psychometric properties of the Chinese RLQ were examined through experts’ evaluation, reliability testing, and confirmatory factor analysis (CFA). The results showed that content validity was observed with S-CVI value of 0.93; the Chinese RLQ had excellent internal consistency, with Cronbach’s ? coefficients of 0.97 (N=47). CFA supported the hypothesized factor structure, with acceptable model fit indices (?^2/df = 1.452; RMR = 0.100; GFI = 0.906; NFI = 0.923; CFI = 0.975; RMSEA = 0.028). Evidence for convergent and discriminant validity was also obtained, which indicated the acceptable construct validity. These findings suggested that the Chinese RLQ is a reliable and valid instrument for assessing students’ regulation of learning in Chinese higher education. The questionnaire provides researchers and educators with a useful tool for understanding and promoting effective learning strategies. Future studies are encouraged to further explore the RLQ’s applicability across different populations.
Anthonysamy, L., Koo, A. C., & Hew, S. H. (2020). Self-regulated learning strategies and non-academic outcomes in higher education blended learning environments: A one decade review. Education and information technologies, 25(5), 3677-3704. https://doi.org/10.1007/s10639-020-10134-2
Bolarinwa, O. A. (2015). Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Nigerian postgraduate medical journal, 22(4), 195-201. https://doi.org/10.4103/1117-1936.173959
Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24–32. https://doi.org/10.1016/j.iheduc.2017.01.004
Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of educational research, 65(3), 245-281. https://doi.org/10.3102/00346543065003245
Chai, H. (2010).Researches on Reliability and Validity of Inspection Procedure in Questionnaire Design. World Science and Technology Research and Development, (04),548-550. https://doi.org/10.16507/j.issn.1006-6055.2010.04.001
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41(2), 745-783. https://doi.org/10.1007/s10490-023-09871-y
Dolnicar, S., & Grün, B. (2007). Cross?cultural differences in survey response patterns. International Marketing Review, 24(2), 127-143. https://doi.org/10.1108/02651330710741785
Ejubovic, A., & Puška, A. (2019). Impact of self-regulated learning on academic performance and satisfaction of students in the online environment. Knowledge Management & E-Learning, 11(3), 345-363. https://doi.org/10.34105/j.kmel.2019.11.018
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
George, D., & Mallery, P. (2019). *IBM SPSS Statistics 26 step by step: A simple guide and reference* (16th ed.). Routledge. https://doi.org/10.4324/9781032622156
Gjersing, L., Caplehorn, J. R., & Clausen, T. (2010). Cross-cultural adaptation of research instruments: language, setting, time and statistical considerations. BMC medical research methodology, 10(1), 13. https://doi.org/10.1186/1471-2288-10-13
Graham, S., Harris, K. R., MacArthur, C., & Santangelo, T. (2017). Self-regulation and writing. In Schunk, D. H., & Zimmerman, B. (Eds.), Handbook of self-regulation of learning and performance (pp. 138-152). Routledge.
Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of business research, 109, 101-110. https://doi.org/10.1016/j.jbusres.2019.11.069
Hair, J. (2009). Exploratory factor analysis. Multivariate data analysis, 7, 100-100.
Heale, R., & Twycross, A. (2015). Validity and reliability in quantitative studies. Evidence-based nursing, 18(3), 66-67. https://doi.org/10.1136/eb-2015-102129
Iacobucci, D. (2010). Structural equations modeling: Fit indices, sample size, and advanced topics. Journal of consumer psychology, 20(1), 90-98. https://doi.org/10.1016/j.jcps.2009.09.003
Kazi, A. M., & Khalid, W. (2012). Questionnaire designing and validation. Journal of the Pakistan Medical Association, 62(5), 514. http://ecommons.aku.edu/pakistan_fhs_mc_women_childhealth_paediatr/14
Lamm, K. W., Lamm, A. J., & Edgar, D. (2020). Scale development and validation: Methodology and recommendations. Journal of International Agricultural and Extension Education, 27(2), 24-35. https://doi.org/10.5191/jiaee.2020.27224
Landreneau, K. (2016). Selecting an instrument: Important psychometric properties using the general well-being schedule as the example. NERC (Nursing Education Research Conference). 82. https://www.sigmarepository.org/nerc/2016/presentations_2016/82
McCardle, L., & Hadwin, A. F. (2015). Using multiple, contextualized data sources to measure learners’ perceptions of their self-regulated learning. Metacognition and Learning, 10, 43-75. https://doi.org/10.1007/s11409-014-9132-0
Mevarech, Z. R., Verschaffel, L., & De Corte, E. (2017). Metacognitive pedagogies in mathematics classrooms: From kindergarten to college and beyond. In Schunk, D. H., & Zimmerman, B. (Eds.), Handbook of self-regulation of learning and performance (pp. 109-123). Taylor & Francis.
O'Leary-Kelly, S. W., & Vokurka, R. J. (1998). The empirical assessment of construct validity. Journal of operations management, 16(4), 387-405. https://doi.org/10.1016/S0272-6963(98)00020-5
Pintrich, P. R. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ).
Pintrich, P. R. (1995). Understanding self?regulated learning. New directions for teaching and learning, 1995(63), 3-12. https://doi.org/10.1002/tl.37219956304
Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In Boekaerts, M., Zeidner, M., & Pintrich, P. R. (Eds.), Handbook of self-regulation (pp. 451-502). Academic Press. https://doi.org/10.1016/B978-012109890-2/50043-3
Pintrich, P. R., & Zusho, A. (2002). The development of academic self-regulation: The role of cognitive and motivational factors. In Wigfield, A., & Eccles, J. S. (Eds.), Development of achievement motivation (pp. 249-284). Academic Press. https://doi.org/10.1016/B978-012750053-9/50012-7
Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53(3), 801–813. https://doi.org/10.1177/0013164493053003024
Polit, D. F., & Beck, C. T. (2006). The content validity index: are you sure you know what's being reported? Critique and recommendations. Research in nursing & health, 29(5), 489-497. https://doi.org/10.1002/nur.20147
Rowlands, G. A. (2020). Parental alienation: A measurement tool confirmatory factor analysis validation study. Journal of divorce & remarriage, 61(2), 127-147. https://doi.org/10.1080/10502556.2019.1627162
Schunk, D. H. (2005). Self-regulated learning: The educational legacy of Paul R. Pintrich. Educational psychologist, 40(2), 85-94. https://doi.org/10.1207/s15326985ep4002_3
Schunk, D. H., & Greene, J. A. (2017). Historical, contemporary, and future perspectives on self-regulated learning and performance. In Schunk, D.H., Greene, J.A., & Schunk, D.H. (Eds.), Handbook of self-regulation of learning and performance (pp. 1-15). Routledge.
Shi, Y., & Yang, H. (2025). Development, revision, and validation of a Self-Regulated Learning Questionnaire for Chinese undergraduate students. Acta Psychologica, 256, 104956. https://doi.org/10.1016/j.actpsy.2025.104956
Strauss, M. E., & Smith, G. T. (2009). Construct validity: Advances in theory and methodology. Annual review of clinical psychology, 5(1), 1-25. https://doi.org/10.1146/annurev.clinpsy.032408.153639
Theobald, M. (2021). Self-regulated learning training programs enhance university students’ academic performance, self-regulated learning strategies, and motivation: A meta-analysis. Contemporary Educational Psychology, 66, 101976. https://doi.org/10.1016/j.cedpsych.2021.101976
Thiede, K. W., & de Bruin, A. B. (2017). Self-regulated learning in reading. In Schunk, D.H., Greene, J.A., & Schunk, D.H. (Eds.), Handbook of self-regulation of learning and performance (pp. 124-137). Routledge.
Weinstein, C. E., Palmer, D. R., & Schulte, A. C. (1987). Learning and Study Strategies Inventory(LASSI). Clearwater, FL: H & H Publishing Company.
Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 277–304). Mahwah, NJ: Lawrence Erlbaum.
Yusoff, M. S. B. (2019). ABC of content validation and content validity index calculation. Education in medicine journal, 11(2), 49-54. https://doi.org/10.21315/eimj2019.11.2.6
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into practice, 41(2), 64-70. https://doi.org/10.1207/s15430421tip4102_2
Zimmerman, B. J. (2013). Theories of self-regulated learning and academic achievement: An overview and analysis. In Zimmerman, B.J., & Schunk, D.H. (Eds.), Self-regulated learning and academic achievement (pp.1-36). Routledge.
Chen, J., & Rameli, M. R. M. (2025). The Chinese Version of the Regulation of Learning Questionnaire (RLQ): A Reliability and Validity Study. International Journal of Academic Research in Business and Social Sciences, 15(8), 1480–1495.