Multidimensional Adaptive Testing with a Minimum Error-Variance Criterion

Journal of Educational and Behavioral Statistics

Volumn 24, Issue 4, 1999, Pages 398-412

  Van Der Linden, Wim J ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Adaptive testing; Item Response Theory; Maximum Likelihood Estimation; Multidimensionality

Indexed keywords

EID: 0033266560     PISSN: 10769986     EISSN: None     Source Type: Journal    
DOI: 10.3102/10769986024004398     Document Type: Article

References (20)

1. Ackerman, T. A. (1994). Creating a test information profile for a two-dimensional latent space. Applied Psychological Measurement, 18, 257-275.
2. Ackerman, T. A. (1996). Graphical representation of multidimensional item response theory analysis. Applied Psychological Measurement, 20, 311-329.
3. Andersen, E. B. (1980). Discrete statistical models with social science applications. Amsterdam: North-Holland.
4. Fan, M., & Hsu, Y. (April, 1996). Multidimensional computer adaptive testing. Paper presented at the annual meeting of the American Educational Testing Association, New York City, NY.
5. Fraser, C., & McDonald, R. P. (1988). NOHARM II: A FORTRAN program for fitting unidimensional and multidimensional normal ogive models of latent trait theory. Armindale, Australia: Centre for Behavioral Studies, University of New England.
6. Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage.
7. Lord, F. M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Erlbaum.
8. Luecht, R. M. (1996). Multidimensional computerized adaptive testing. Applied Psychological Measurement, 20, 389-404.
9. McDonald, R. P. (1997). Normal-ogive multidimensional model. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory (pp. 258-270). New York City, NY: Springer-Verlag.
10. McKinley, R. L., & Reckase, M. N. (1983). An extension of the two-parameter logistic model to the multidimensional latent space (Research report ONR 83-2). Iowa City, IA: American College Testing.
11. Reckase, M. D. (1985). The difficulty of test items that measure more than one ability. Applied Psychological Measurement, 9, 401-412.
12. Reckase, M. D. (1997). A linear logistic multidimensional model for dichotomous item response data. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory (pp. 271-286). New York City, NY: Springer-Verlag.
13. Reckase, M. D., & McKinley, R. L. (1991). The discriminating power of items that measure more than one dimension. Applied Psychological Measurement, 15, 361-374.
14. Samejima, F. (1974). Normal ogive model for the continuous response level in the multidimensional latent space. Psychometrika, 39, 111-121.
15. Segall, D. O. (1996). Multidimensional adaptive testing. Psychometrika, 61, 331-335.
16. Sympson, J. M., & Hetter, R. D. (1985, October). Controlling item exposure rates in computerized adaptive testing. Paper presented at the 27th annual meeting of the Military Testing Association, San Diego, CA. [Transparencies]
17. van der Linden, W. J. (1996). Assembling tests for the measurement of multiple traits. Applied Psychological Measurement, 20, 373-388.
18. van der Linden, W. J., & Reese, L. M. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 25g-270.
19. Wainer, H. (Ed.) (1990). Computerized adaptive testing: A primer. Hillsdale, NJ: Erlbaum.
20. Wilson, D., Wood, R., & Gibbons, R. (1984). TESTFACT: Test scoring, item statistics, and item factor analysis. Mooresville, IN: Scientific Software.