Using multidimensional rasch analysis to validate the chinese version of the motivated strategies for learning questionnaire (MSLQ-CV)

European Journal of Psychology of Education

Volumn 25, Issue 1, 2010, Pages 141-155

  Lee, John Chi Kin ^a   Zhang, Zhonghua ^a   Yin, Hongbiao ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Chinese version; DIF; Motivated strategies for learning; MRCMLM; MSLQ CV; Multidimensional rasch model

Indexed keywords

EID: 77954348677     PISSN: 02562928     EISSN: 18785174     Source Type: Journal    
DOI: 10.1007/s10212-009-0009-6     Document Type: Article

References (31)

1. Adams, R. J., & Wilson, M. R. (1996). Formulating the Rasch model as a mixed coefficients multinomial logit In G. Englhard & M. Wilson (Eds.), Objective measurement: Theory into practice (Vol. 3, pp. 143-166). Norwood: Albex.
2. Adams, R. J., Wilson, M. R., & Wang, W.-C. (1997). The multidimensional random coefficients multinomial logit model. Applied Psychological Measurement. 21, 1-23. (Pubitemid 127045375)
3. Andrich, D. (1978). A rating scale formulation for ordered response categories. Psychometrika, 43, 561-573.
4. Cheng, Y.-Y., Wang, W.-C., & Ho, Y.-H. (2009). Multidimensional Rasch analysis of a psychological test with multiple subtests: A statistical solution for the bandwidth-fidelity dilemma. Educational and Psychological Measurement, 69, 369-388.
5. Chien, T.-W., Hsu, S.-Y., Tai, C., Guo, H.-R., & Su, S.-B. (2008). Using Rasch analysis to validate the revised PSQI to assess sleep disorders in Taiwan's hi-tech workers. Community Mental Health Journal, 44, 417-425.
6. Cohen, A. S., Kim, S.-H., & Wollack, J. A. (1996). An investigation of the likelihood ratio test for detection of differential item functioning. Applied Psychological Measurement, 20, 15-26. (Pubitemid 126328990)
7. Dodd, B. G., & Koch, W. R. (1987). Effects of variations in item step values on item and test information in the partial credit model. Applied Psychological Measurement, 11, 371-384.
8. Duncan, T. G., & McKeachie, W J. (2005). The making of the motivated strategies for learning questionnaire. Educational Psychologist, 40, 117-128.
9. Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologist. Mahwah: Erlbaum.
10. Holland, P. W., & Thayer, D. T. (1988). Differential item performance and the Mantel-Haenszel procedure. In H. Wainer & H. I. Braun (Eds.), Test validity (pp. 129-145). Hillsdale: Erlbaum.
11. Liu, I. M. (1986). Chinese cognition. In M. H. Bond (Ed.), The psychology of the Chinese people. Hong Kong: Oxford University Press.
12. Marton, F., Watkins, D., & Tang, C. (1997). Discontinuities and continuities in the experience of learning: An interview study of high-school students in Hong Kong. Learning and Instruction, 7, 21-48. (Pubitemid 127167987)
13. Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149-174.
14. Pesudovs, K., & Noble, B. A. (2005). Improving subjective scaling of pain using Rasch analysis. The Journal of Pain, 6, 630-636. (Pubitemid 43300601)
15. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33-40.
16. 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, 801-813.
17. Pintrich, P. R., Roeser, R. W., & De Groot, E. A. M. (1994). Classroom and individual differences in early adolescents' motivation and self-regulated learning. Journal of Early Adolescence, 14, 139-161.
18. Rao, N., & Sachs, J. (1999). Confirmatory factor analysis of the Chinese version of the motivated strategies for learning questionnaire. Educational and Psychological Measurement, 59, 1016-1029.
19. Rao, N., Morley, B. E., & Sachs, J. (2000). Motivational beliefs, study strategies, and mathematics attainment in high- and low-achieving Chinese secondary school students. Contemporary Educational Psychology, 25, 287-316.
20. Rogers, H. J., & Swaminathan, H. (1993). A comparison of the logistic regression and Mantel-Haenszel procedures for detecting differential item functioning. Applied Psychological Measurement, 17, 105-116.
21. Sachs, J., Law, Y. K., Chan, C. K. K., & Rao, N. (2001). A nonparametric item analysis of the motivated strategies for learning questionnaire- Chinese version. Psychologia, 44, 197-208.
22. Sachs, J., Law, Y. K., & Chan, C. K. K. (2002). An analysis of the relationship between the motivated strategies for learning questionnaire and the learning process questionnaire. Psychologia, 45, 193-203.
23. Swaminathan, H., & Rogers, H. J. (1990). Detecting differential item functioning using logistic regression procedures. Journal of Educational Measurement, 27, 361-370.
24. Wang, W.-C., & Wilson, M. R. (2005). Assessment of differential item functioning in testlet-based items using the Rasch testlet model. Educational and Psychological Measurement, 65, 549-576.
25. Wang, W.-C., Chen, P.-H., & Cheng, Y.-Y. (2004). Improving measurement precision of test batteries using multidimensional item response models. Psychological Methods, 9, 116-136.
26. Wang, W.-C., Yao, G., Tsai, Y.-J., Wang, J.-D., & Hsieh, C.-L. (2006). Validating, improving reliability, and estimating correlation of the four subscales in the WHOQOL-BREF using multidimensional Rasch analysis. Quality of Life Research, 15, 607-620. (Pubitemid 43843969)
27. Watkins, D. A., & Biggs, J. B. (2001). The paradox of the Chinese learner and beyond. In D. A. Watkins & J. B. Biggs (Eds.), Teaching the Chinese learner: Psychological and pedagogical perspectives (pp. 3-23). Hong Kong: Comparative Education Research Center.
28. Wright, B. D., Linacre, J. M., Gustafson, J. E., & Martin-Lof, P. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8, 370.
29. Wu, M. L., Adams, R. J., & Wilson, M. R. (1998). ConQuest [Computer software and manual]. Camberwell: Australian Council for Educational Research.
30. Yao, L., & Boughton, K. A. (2007). A multidimensional item response modeling approach for improving subscale proficiency estimation and classification. Applied Psychological Measurement, 31, 83-105.
31. Yao, L., & Schwarz, R. D. (2006). A multidimensional partial credit model with associated item and test statistics: An application to mixed-format test. Applied Psychological Measurement, 30, 469-492. (Pubitemid 44564548)