Multidimensional item response theory modeling

Contemporary Psychometrics: A Festschrift for Roderick P.McDonald

Volumn , Issue , 2013, Pages 3-25

  Ackerman, Terry A ^a  

^a UNIVERSITY OF NORTH CAROLINA AT GREENSBORO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84904778880     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9781410612977     Document Type: Chapter

References (22)

1. Ackerman, T.A. (1992). A didactic explanation of item bias, item impact, and item validity from a multidimensional perspective. Journal of Educational Measurement, 29, 67-91.
2. Ackerman, T.A. (1994). Using multidimensional item response theory to understand what items and tests are measuring. Applied Measurement in Education, 7, 255-278.
3. Ackerman, T.A. (1996). Graphical representation of multidimensional item response theory analyses. Applied Psychological Measurement, 20, 311-330.
4. Ackerman, T.A., Kelkar, V., Neustel, S., & Simpson, M. (2001). A simulation study examining NOHARM's ability to recover two-dimensional generated item parameters. Paper presented at the annual meeting of the National Council on Measurement in Education, Seattle, WA.
5. American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. Standards for educational and psychological testing. (1999). Washington, DC: Author.
6. Balassiano, M., & Ackerman, T.A. (1995). An evaluation of NOHARM estimation accuracy with a two-dimensional latent space. Unpublished manuscript.
7. Christoffersson, A. (1975). Factor analysis of dichotomized variables. Psychometrika, 40, 5-32.
8. Computer Associates International, Inc. (1989). DISSPLA 10.0 [Computer software]. Garden City, NY: Author.
9. Davey, T., Oshima, T.C., & Lee, K. (1996). Linking multidimensional item calibrations. Applied Psychological Measurement, 20, 405-416.
10. Fraser, C. (1988). NOHARM: An IBM PC computer program for fitting both unidimensional and multidimensional normal ogive models of latent trait theory. Armidale, Australia: University of New England Press.
11. Lord, F.M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
12. McDonald, R.P. (1967). Nonlinear factor analysis. (Psychometric Monographs, No. 15). Chicago: University of Chicago Press.
13. McDonald, R.P. (1999). Test theory: A unified approach. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
14. McDonald, R.P. (2000). A basis for multidimensional item response theory. Applied Psychological Measurement, 24, 99-114.
15. Patz, R.J., & Junker, B.W. (1999a). A straightforward approach to Markov chain Monte Carlo methods in item response models. Journal of Educational and Behavioral Statistics, 24, 146-178.
16. Reckase, M.D. (1985). The difficulty of test items that measure more than one ability. Applied Psychological Measurement, 9, 401-412.
17. Reckase, M.D. (1997). The past and future of multidimensional item response theory. Applied Psychological Measurement, 21, 25-36.
18. Reckase, M.D., & Mckinley, R.L. (1985). The difficulty of test items that measure more than one dimension. Applied Psychological Measurement, 9, 401-412.
19. Reckase, M.D., & McKinley, R.L. (1991). The discrimination power of items that measure more than one dimension. Applied Psychological Measurement, 14, 361-373.
20. Stout, W. (1987). A nonparametric approach for assessing latent trait unidimensionality. Psychometrika, 52, 589-617.
21. Stout, W., Habing, B., Douglas, J., Kim, H.R., Roussos, L., & Zhang, J. (1996). Conditional covariancebased nonparametric multidimensionality assessment. Applied Psychological Measurement, 20, 331-354.
22. van der Linden, W.J., & Hambleton, R.K. (1997). Handbook of modern item response theory. New York: Springer.