Non-modeled item interactions lead to distorted discrimination parameters: A case study

MPR-online

Volumn 6, Issue , 2001, Pages 159-174

  Tuerlinckx, Francis ^a,b   De Boeck, Paul ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b FUND FOR SCIENTIFIC RESEARCH   (Belgium)

Author keywords

Item interactions; Local item dependencies; Local stochastic independence; Two parameter logistic model

Indexed keywords

EID: 4043056357     PISSN: 14328534     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. Agresti, A. (1990). Categorical data analysis. New York: John Wiley.
2. Akaike, H. (1977). On entropy maximization principle. In P.R. Krishnaiah (Ed.), Proceedings of the symposium on application of statistics (pp. 27-47). Amsterdam: North-Holland.
3. Birnbaum, A. (1968). Some latent trait models. In F.M. Lord , & M.R. Novick, Statistical theories of mental test scores (pp. 397-424). Reading: Addison-Wesley.
4. Bishop, Y.M.M., Fienberg, S.E., & Holland, P.W. (1975). Discrete multivariate analysis: Theory and practice. Cambridge, MA: The MIT Press.
5. Chen, W.H. (1993). IRT LD: A computer program for the detection of pairwise local dependence between items (Research Memorandum 93-2). Chapel Hill: L.L. Thurstone Laboratory, University of North Carolina at Chapel Hill.
6. Chen, W.H., & Thissen, D. (1997). Local dependence indexes for item pairs using item response theory. Journal of Educational and Behavioral Statistics, 22, 265-289.
7. Claes, L., Janssen, P.J., & Wels, G. (1999). Keuzebegeleiding van laatstejaars secundair onderwijs. Hoe jongeren helpen bij het maken en toetsen van hun studiekeuze? [Choice counseling of last year high school students. How to assist students in making and testing their study choice.] Eindrapport OBPWO 95.09.
8. Duncan, O.D. (1984). Rasch measurement: Further examples and discussion. In C.F. Turner & E. Martin (Eds.), Surveying subjective phenomena (Vol. 2, pp. 367-403). New York: Russell Sage Foundation.
9. Embretson, S.E., & Reise, S.P. (2000). Item response theory for psychologists. New Jersey: Lawrence Erlbaum Associates.
10. Glas, C.A.W. (1988). The derivation of some tests for the Rasch model from the multinomial distribution. Psychometrika, 53, 525-546.
11. Glas, C.A.W., & Verhelst, N.D. (1995). Testing the Rasch model. In G.H. Fischer & I.W. Molenaar (Eds.), Rasch models: Foundations, recent developments and applications (pp. 69-96). New York: Springer-Verlag.
12. Hoskens, M., & De Boeck, P. (1995). Componential IRT models for polytomous items. Journal of Educational Measurement, 32, 234-246.
13. Hoskens M., & De Boeck, P. (1997). A parametric model for local item dependencies among test items. Psychological Methods, 2, 261-277.
14. Kelderman, H. (1984). Loglinear Rasch model tests. Psychometrika, 49, 223-245.
15. Knowles, E.S., & Condon, C.A. (2000). Does the rose still smell as sweet? Item variability across test forms and revisions. Psychological Assessment, 12, 245-252.
16. Rasch, G. (1980). Probabilistic models for intelligence and attainment tests. Chicago: The University of Chicago Press.
17. Ten Vergert, E., Gillespie, M., & Kingma, J. (1993). Testing the assumptions and interpreting the results of the Rasch model using loglinear procedures in SPSS. Behavioral Research Methods, Instruments, & Computers, 25, 350-359.
18. Thissen, D. (1982). Marginal maximum likelihood estimation for the one-parameter logistic model. Psychometrika, 47, 175-186.
19. Thissen, D. (1991). MULTILOG [Computer software]. Mooresville, IN: Scientific Software.
20. Thissen, D., Steinberg, L., & Mooney, J.A. (1989). Trace lines for testlets: a use of multilple-categorical-response models. Journal of Educational Measurement, 26, 247-260.
21. Tuerlinckx, F., & De Boeck, P. (2001). The effect of ignoring item interactions on the estimated discrimination parameters in item response theory. Psychological Methods, 6, 181-195.
22. Verhelst, N.D., & Glas, C.A.W. (1995). The one parameter logistic model. In G.H. Fischer & I.W. Molenaar (Eds.), Rasch models: Foundations, recent developments and applications (pp. 215-238). New York: Springer-Verlag.
23. Verhelst, N.D., Glas, C.A.W., & Verstralen, H.H.F.M. (1995). OPLM: Computer program and manual. Arnhem: Cito.
24. Wainer, H., & Kiely, G.L. (1987). Item clusters and computerized adaptive testing: A case for testlets. Journal of Educational Measurement, 24, 185-201.
25. Yen, W.M. (1984). Effect of local item dependence on the fit and equating performance of the three-parameter logistic model. Applied Psychological Measurement, 8, 125-145.
26. Yen, W.M. (1993). Scaling performance assessments: strategies for managing local item dependence. Journal of Educational Measurement, 30, 187-213.