The construction of a scale to measure mathematical ability in psychology students: An application of the rasch model

TPM - Testing, Psychometrics, Methodology in Applied Psychology

Volumn 15, Issue 1, 2008, Pages 3-18

  Galli, Silvia ^a   Chiesi, Francesca ^a   Primi, Caterina ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Math basics for introductory statistics course; Mathematical ability scale; Rasch model

Indexed keywords

EID: 79959981319     PISSN: 19726325     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Al-Hasan, A. N., & Jaberg, P. (2003). Assessing the general education mathematics courses at a liberal arts college for women. Supporting Assessment in Undergraduate Mathematics, 59-63. Retrived from the Web January, 20, 2007. http://www.maa.org/saum/cases/al-hasen-jaberg1105-saum.pdf.
2. Andrich, D. (1988). Rasch model for measurement. London: Sage.
3. Bond, T. G., & Fox, C. M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, NJ: Lawrence Erlbaum Associates.
4. Cohen, L. (1979). Approximate expressions for parameter estimates in the Rasch model. British Journal of Mathematical and Statistical Psychology, 32(1), 113-120.
5. Cruise, J. R., Cash, R. W., & Bolton, L. D. (1985). Development and validation of an instrument to measure statistical anxiety. ASA Proceedings of the Section Statistical Education (pp. 92-97). Alexandria, VA, EE. UU.: American Statistical Association.
6. Divgi, D. R. (1986). Does the Rasch model really work for multiple choice item? Not if you look closely. Journal of Educational Measurement 23(4). 283-289.
7. Gal, I., Ginsburg, L., & Schau, C. (1997). Monitoring attitudes and beliefs in statistics education. In I. Gal & J. B. Garfield (Eds.), The assessment challenge in statistics education (pp. 37-51). Amsterdan: IOS Press.
8. Gierl, M. J., Bisanz, J., Bisanz, G. L., & Buoghton, K. A. (2002, April). Identifying content and cognitive skills that produce gender differences in mathematics: A demonstration of the DIF analysis frame- work. Paper presented at the Annual Meeting of the National Council on Measurement in Education (NCME), New Orleans, LA.
9. Goldstein, H., & Blinkhorn, S. (1977). Monitoring educational standards: An inappropriate model. Bulletin of British Psychological Society, 30, 309-311.
10. Hambleton, R. K., & Jones, R. W. (1993). Comparison of classical test theory and item response theory and their applications to test development. Educational Measurement: Issues and Practice, 12(3), 38-47.
11. Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. New- berry Park, CA: Sage.
12. Harlow, L. L., Burkholder, G. J., & Morrow, J. A. (2002). Evaluating attitudes, skill and performance in a learning-enhanced quantitative methods course: A structural modelling approach. Structural Equation Modeling, 9, 413-430.
13. Henning, D. (1989). Does the Rasch model really work for multiple choice item? Journal of Educational Measurement, 26(1), 91-97.
14. Kl ine, P. (1996). Manuale dipsicometria [Psychometric s manual]. Roma: Casa Editrice Astrolabio.
15. Lalonde, R. N., & Gardner, R. C. (1993). Statistics as a second language? A model for predicting performance in psychology students. Canadian Journal of Behavioural Science, 25, 108-125.
16. Linacre, J. M. (2005). Winsteps (Version 3.59) [Computer Software]. Chicago: Winsteps.com.
17. Neidorf, T. S., Binkley, M., Gattis, K., & Nohara, D. (2006). Comparing mathematics content in the national Assessment of Educational Progress (NAEP), Trends in International Mathematics and Science Study (TIMSS), and Program for International Student Assessment (PISA) 2003 Assessment (NCES 2006 - 029). Department of Education, National Center of Education Statistics. Washing- ton, DC: Government Printing Office.
18. Onwuegbuzie, A. (2003). Modeling statistics achievement among graduate students. Educational and Psychological Measurement, 63(6), 1020-1038. (Pubitemid 37514161)
19. Onwuegbuzie, A., & Seaman, M. A. (1995). The effect of time constraints and statistics test anxiety on test performance in a statistics course. Journal of Experimental Education, 63(2), 115-124.
20. Raiche, G. (2005). Critical eigenvalue size in standardized residual Principal Component Analysis. Rasch Measurement Transactions, 19(1), 1012.
21. Rentz, R. R., & Rentz, C. C. (1979). Does the Rasch model really work? Measurement in Education, 10(2), 1-8.
22. Smith, R. M., & Miao, C. Y. (1994). Assessing unidimensionality for Rasch measurement. In M. Wilson (Ed.), Objective Measurement: Theory into Practice (Vol. 2). Greenwich: Ablex.
23. Schau, C., Stevens, J. J., Dauphinee, T. L., & Del Vecchio, A. (1995). The developmental validation of the Survey of Attitudes Toward Statistics. Educational and Psychological Measurement, 55, 868-875. (Pubitemid 126005836)
24. Schutz, P. A., Drogosz, L. M., White, V. E., & Distefano, C. (1999). Prior knowledge, attitude and strategy use in an introduction to statistics course. Learning and Individual Differences, 10, 291-308. (Pubitemid 128181779)
25. Sorge, C., & Schau, C. (2002, April). Impact of engineering students' attitudes on achievement in statistics: A structural model. Paper presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA.
26. Tinsley, H. E., & Dawis, R. V. (1975). An investigation of Rasch simple logistic model: Sample-free item and test calibration. Educational and Psychological Measurement, 35, 325-339.
27. Tremblay, P. F., Gardner, R. C., & Heipel, G. (2000). A model of the relationships among measures of affect, aptitude and performance in introductory statistics. Canadian Journal of Behavioural Science, 32, 40-48.
28. Webster, B. J., & Fisher, D. L. (2003). School-level environment and student outcomes in mathematics. Learning Environments Research, 6, 309-326. (Pubitemid 39015610)
29. Wright, B. D., Linacre, J. M., Gustafsson, J-E., & Martin-Loff, P. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8(3), 370.
30. Wright, B. D., & Masters, G. N. (1982). Rating scale analysis. Chicago: MESA press.
31. Wright, B. D., & Panchapakesan, N. (1969). A procedure for sample-free items analysis. Educational and Psychological Measurement, 29, 23 - 48.
32. Zeidner, M. (1991). Statistics and mathematics anxiety in social science students: Some interesting parallels. British Journal of Educational Psychology, 61, 319-328.