A meta-analytic review of the Motivated Strategies for Learning Questionnaire

Learning and Individual Differences

Volumn 21, Issue 4, 2011, Pages 337-346

  Credé, Marcus ^a   Phillips, L Alison ^b  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Academic performance; Learning strategies; Meta analysis; Motivated Strategies for Learning Questionnaire (MSLQ); Motivation; Social cognitive learning theories

Indexed keywords

EID: 79960009164     PISSN: 10416080     EISSN: 18733425     Source Type: Journal    
DOI: 10.1016/j.lindif.2011.03.002     Document Type: Article

References (61)

1. Barritt L.S. Note: The consistency of fifirst-semester college grade point average. Journal of Educational Measurement 1966, 3:261-262.
2. Barker, J. R. (1997). An evaluation of the effects of self-regulated learning on USMLE Step 1 scores at the University of Mississippi School of Medicine. Unpublished doctoral dissertation, Vanderbilt University, Tennessee.
3. Bartels J.M., Magun-Jackson S. Approach-avoidance motivation and metacognitive self-regulation: The role of need for achievement and fear of failure. Learning and Individual Differences 2009, 19:459-463.
4. Bell P.D. Can factors related to self-regulated learning and epistemological beliefs predict learning achievement in undergraduate asynchronous web-based courses?. Perspectives in Health Information Management 2006, 3:1-17.
5. Bembenutty H. Self-regulation of learning and academic delay of gratification: Gender and ethnic differences among college students. Journal of Advanced Academics 2007, 18:586-616.
6. Bendig A.W. The reliability of letter grades. Educational and Psychological Measurement 1953, 13:311-321.
7. Bhattacharyya, S. (2004). Dynamics of motivation and self-regulation among college pre-service teachers: A cross-cultural perspective. Unpublished doctoral dissertation, The University of Memphis.
8. Bidjerano T., Dai D.Y. The relationship between the big-five model of personality and self-regulated learning strategies. Learning and Individual Differences 2007, 17:69-81.
9. Bong M. Between- and within-domain relations of academic motivation among middle and high-school students: Self-efficacy, task value, and achievement goals. Journal of Educational Psychology 2001, 93:23-34.
10. Bong M. Academic motivation in self-efficacy, task value, achievement goal orientations, and attributional beliefs. Journal of Educational Research 2004, 97:287-297.
11. Cohen J. Statistical power analysis for the behavioral sciences 1988, Lawrence Erlbaum Associates, Hillsdale, NJ.
12. Cooper H., Pattall E.A. The relative benefits of meta-analysis conducted with individual participant data versus aggregated data. Psychological Methods 2009, 14:165-176.
13. Credé M., Kuncel N.R. Study habits, skills, and attitudes: The third pillar supporting collegiate academic performance. Perspectives on Psychological Science 2008, 3:425-453.
14. Crede M., Roch S.G., Kieszczynka U.M. Class attendance in college: A meta-analytic review of the relationship of class attendance with grades and student characteristics. Review of Educational Research 2010, 80:272-295.
15. Drasgow F., Chernyshenko O.S., Stark S. 75 years after Likert: Thurstone was right. Industrial and Organizational Psychology: Perspectives on Science and Practice 2010, 3.
16. Duncan T.G., McKeachie W.C. The making of the Motivated Strategies for Learning Questionnaire. Educational Psychologist 2005, 40:117-128.
17. Dweck C.S., Leggett E.L. A social-cognitive approach to motivation and personality. Psychological Review 1988, 95:256-273.
18. Gay L.R., Mills G., Airasian P.W. Educational research: Competencies for analysis and interpretation 2009, Pearson, New Jersey. 9th edition.
19. Gaythwaite, E. S. (2006). Metacognitive self-regulation, self-efficacy for learning and performance, and critical thinking as predictors of academic success and course retention among community college students enrolled in online, telecourse, and traditional public speaking courses. Unpublished doctoral dissertation, University of Central Florida.
20. Gottfried A.E. Academic intrinsic motivation in elementary and junior high school students. Journal of Educational Psychology 1985, 77:631-645.
21. Halpin G., Halpin G., Schaer B.B. Relative effectiveness of the California Achievement Tests in comparison with the ACT Assessment, College Board Scholastic Aptitude Test, and high school grade point average in predicting college grade point average. Educational and Psychological Measurement 1981, 41:821-827.
22. Hayton J.C., Allen D.G., Scarpello V. Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods 2004, 7:191-205.
23. Hedges L.V. Estimation of effect size from a series of independent experiments. Psychological Bulletin 1982, 92:490-499.
24. Hezlett, S.A., Kuncel, N.R., Vey, M.A., Ahart, A., Ones, D.S., Campbell, J.P., et al. (2001, April). The predictive validity of the SAT: A comprehensive meta-analysis. In D.S. Ones & S.A. Hezlett (Chairs), Predicting performance: The interface of I/O psychology and educational research. Symposia presented at the annual conference of the Society for Industrial and Organizational Psychology, San Diego, CA.
25. Hsu, J. T.-S. (1997). Value, expectancy, metacognition, resource management, and academic achievement: A structural model of self-regulated learning in a distance education context. Unpublished doctoral dissertation, University of Southern California.
26. Huang S.C. Assessing motivation and learning strategies using the Motivated Strategies for Learning Questionnaire in a foreign language learning context. Social Behavior and Personality 2008, 36:529-534.
27. Humphreys L.G. The construct of general intelligence. Intelligence 1979, 3:105-120.
28. Hunter J.E., Schmidt F.L. Methods of meta-analysis: Correcting error and bias in research findings 2004, Sage Publications, Newbury Park. 2nd edition.
29. Ilies R., Judge T.A. Goal regulation across time: The effects of feedback and affect. The Journal of Applied Psychology 2005, 90:453-467.
30. Kuncel N.R., Hezlett S.A., Ones D.S. A comprehensive meta-analysis of the predictive validity of the Graduate Record Examinations: Implications for graduate school selection and performance. Psychological Bulletin 2001, 127:162-181.
31. Langley, S. R., II (2007). Identifying self-regulatory factors that influence the academic achievement motivation of underprepared college students. Unpublished doctoral dissertation, University of Minnesota.
32. Lewis, J. P. (2006). Effects of self-regulated learning on metacognitive strategies, academic performance, and transfer of preservice teachers in an educational technology class. Unpublished doctoral dissertation, University of South Alabama.
33. Lievens F., Coetsier P., De Fruyt F., De Maeseneer J. Medical students' personality characteristics and academic performance: A five-factor model perspective. Medical Education 2002, 36:1050-1056.
34. O'Connor M.C., Paunonen S.V. Big five personality predictors of post-secondary academic performance. Personality and Individual Differences 2007, 43:971-990.
35. Pintrich P.R. The role of motivation in promoting and sustaining self-regulated learning. Educational Research 1999, 31:459-470.
36. Pintrich P.R. The role of goal orientation in self-regulated learning. Handbook of self-regulation 2000, 451-502. Academic, San Diego, CA. M. Boekaerts, P.R. Pintrich, M. Zeidner (Eds.).
37. Pintrich R.R., DeGroot E.V. Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology 1990, 82:33-40.
38. Pintrich P.R., Smith D.A.F., Garcia T., McKeachie W.J. A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ) 1991, Michigan, National Centre for Research to Improve Postsecondary Teaching and Learning, Ann Arbor.
39. Pintrich P.R., Smith D.A.F., Garcia T., McKeachie W.J. Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement 1993, 53:801-813.
40. Poropat A.E. A meta-analysis of the five factor model of personality and academic performance. Psychological Bulletin 2009, 135:322-338.
41. Reilly R.R., Warech M.A. The validity and fairness of alternatives to cognitive tests. Policy issues in employment testing 1993, 131-224. Kluwer, Boston. L.C. Wing, B.R. Gifford (Eds.).
42. Robbins S.B., Lauver K., Le H., Davis D., Langley R., Carlstrom A. Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin 2004, 130:261-288.
43. Rosenthal R., Rubin D.B. Comparing effect sizes of independent studies. Psychological Bulletin 1982, 92:500-504.
44. Rotgans J., Schmidt H. Examination of the context-specific nature of self-regulated learning. Educational Studies 2009, 35:239-253.
45. Schmidt F.L., Le H.A. Hunter and Schmidt meta-analysis programs (version 1.1) [computer software] 2004.
46. Schunk D.H. Self-regulated learning: The educational legacy of Paul R. Pintrich. Educational Psychologist 2005, 40:85-94.
47. Schunk D.H. Social cognitive theory and self-regulated learning. Self-regulated learning and academic achievement: Theoretical Perspectives 2005, Lawrence Erlbaum Associates, New York, NY. B.J. Zimmerman, D.H. Schunk (Eds.).
48. Stricker L.J., Rock D.A., Burton N.W., Muraki E., Jirele T.J. Adjusting college grade point average criteria for variations in grading standards: A comparison of methods. The Journal of Applied Psychology 1994, 79:178-183.
49. Suksamram, A. (2003). Factors relating to self-regulated learning of the first year nursing students. Unpublished doctoral dissertation, Mahidol University, Thailand.
50. Thongnoum, D. (2002). Self-efficacy, goal orientations, and self-regulated learning in Thai students. Unpublished doctoral dissertation, Oklahoma State University.
51. Tutor, P. T. (2006). Factors influencing nursing students' motivation to succeed. Unpublished doctoral dissertation, University of Southern California.
52. Van der Stoep S.W., Pintrich P.R. Learning to learn: The skill and will of college success 2003, Prentice Hall, Upper Saddle River, NJ.
53. Vermeeten J., Lodewijks H., Vermunt J. Change and stability in learning strategies during the first two years at the university. Paper presented at the annual meeting of the American Educational Research Association, Chicago, March 24-28 1997.
54. Warr P., Downing J. Learning strategies, learning anxiety, and knowledge acquisition. British Journal of Psychology 2000, 91:311-333.
55. Welsh, J.B. (2007). Identifying factors that predict student success in a community college online distance learning course. Unpublished doctoral dissertation, University of North Texas.
56. Whetzel D.L., McDaniel M.A. Reliability of validity generalization databases. Psychological Reports 1988, 63:131-134.
57. Wolters C.A. Understanding procrastination from a self-regulated learning perspective. Journal of Educational Psychology 2003, 95:179-187.
58. Zakzanis K.K. The reliability of meta-analytic review. Psychological Reports 1998, 83:215-222.
59. Zimmerman B.J. A social-cognitive view of self-regulated academic learning. Journal of Educational Psychology 1989, 81:329-339.
60. Zimmerman B.J. Self-regulation and academic achievement: An overview. Educational Psychologist 1990, 25:3-17.
61. Zimmerman, B. J. & Schunk, D. H. (1989). Self-regulated learning and academic achievement: Theory, research, and practice. New York: Springer Verlag.