Deriving Stopping Rules for Multidimensional Computerized Adaptive Testing

Applied Psychological Measurement

Volumn 37, Issue 2, 2013, Pages 99-122

  Wang, Chun ^a   Chang, Hua Hua ^b   Boughton, Keith A ^c  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c CTB MCGRAW HILL   (United States)

Author keywords

continuous entropy; Fisher information; Kullback Leibler information; multidimensional computerized adaptive testing

Indexed keywords

EID: 84874003772     PISSN: 01466216     EISSN: 15523497     Source Type: Journal    
DOI: 10.1177/0146621612463422     Document Type: Article

References (27)

1. Birnbaum A.Statistical theories of mental test scores. Lord F.Novick M., ed. Reading, MA: Addison-Wesley; 1968:397-479.
2. Boyd A. M.,Dodd B. G.,Choi S. W.Handbook of polytomous item response theory models. Nering M. L.Ostini R., ed. New York, NY: Routledge; 2010:229-255.
3. Chang H.-H.,Qian J.,Ying Z.Alpha-stratified multistage computerized adaptive testing with beta blocking.Applied Psychological Measurement. 2001;25:333-341.
4. Chang H.-H.,Ying Z.A global information approach to computerized adaptive testing.Applied Psychological Measurement. 1996;20:213-229.
5. Chang Y. I.,Martinsek A. T.Fixed size confidence regions for parameters of a logistic regression model.Annals of Statistics. 1992;20:1953-1969.
6. Choi S. W.,Grady M. W.,Dodd B. G.A new stopping rule for computerized adaptive testing.Educational and Psyological Measurement. 2010;70 (6): 1-17.
7. Finkelman M.,Nering M. L.,Roussos L. A.A conditional exposure method for multidimensional adaptive testing.Journal of Educational Measurement. 2009;46:84-103.
8. GiallucaK. A.WeissD. J. (1979). Efficiency of an adaptive inter-subset branching strategy in the measurement of classroom achievement (Research Report No. 79-6). Minneapolis: Department of Psychology, University of Minnesota, Psychometric Methods Program. Retrieved from http://www.psych.umn.edu/psylabs/catcentral/.
9. Haberman S. J.When can subscores have value?.Journal of Educational and Behavioral Statistics. 2008;33:204-229.
10. Haberman S. J.,Sinharay S.How can multivariate item response item response theory be used in reporting of subscores?. Princeton, NJ: ETS; 2009:.
11. HattieJ. (1981). Decision criteria for determining unidimensionality (Unpublished doctoral dissertation). University of Toronto, Ontario, Canada.
12. Lord F. M.Applications of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum; 1980:.
13. Luecht R. M.Multidimensional computerized adaptive testing.Applied Psychological Measurement. 1996;20:389-404.
14. MaurelliV.WeissD. J. (1981). Factors influencing the psychometric characteristics of an adaptive testing strategy for test batteries (Research Report No. 81-4). Minneapolis: Department of Psychology, University of Minnesota, Psychometric Methods Program, Computerized Adaptive Testing Laboratory. Retrieved from http://www.psych.umn.edu/psylabs/catcentral/.
15. Mulder J.,van der Linden W. J.Multidimensional adaptive testing with optimal design criteria for item selection.Psychometrika. 2009;74:273-296.
16. Mulder J.,van der Linden W. J.Elements of adaptive testing. van der Linden W. J.Glas C. A. W., ed. New York, NY: Springer; 2010:77-101.
17. Patton J. M.,Cheng Y.,Yuan K.-H. CTB/McGraw-Hill 2010 Innovation Research & Development Symposium; 2010Monterey, CA; 2010.
18. Reckase M. D.Multidimensional item response theory. New York, NY: Springer; 2009:.
19. Renyi A.On measures of entropy and information. Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability; 1961; 1961. 547.
20. Segall D. O.Multidimensional adaptive testing.Psychometrika. 1996;61:331-354.
21. van der Linden W. J.Assembling tests for the measurement of multiple traits.Applied Psychological Measurement -. 1996;20:373.
22. van der Linden W. J.Multidimensional adaptive testing with a minimum error-variance criterion.Journal of Educational and Behavioral Statistics. 1999;24:398-412.
23. Veldkamp B. P.,van der Linden W. J.Multidimensional adaptive testing with constraints on test content.Psychometrika. 2002;67:575-588.
24. Wang C.,Chang H.-H.Item selection in multidimensional computerized adaptive testing-Gaining information different angles.Psychometrika. 2011;76:363-384.
25. Wang C.,Chang H.-H.,Boughton K. A.Kullback-Leibler information and its applications in multi-dimensional adaptive testing.Psychometrika. 2011;76:13-39.
26. Wang W.-C.,Chen P.-H.,Cheng Y.-Y.Improving measurement precision of test batteries using multidimensional item response models.Psychological Methods. 2004;9:116-136.
27. Weiss D. J.,Kingsbury G. G.Application of computerized testing to educational problems.Journal of Educational Measurement. 1984;21:361-375.