Logistic regression: Analytic strategies in differential item functioning detection;Regresión logística: Alternativas de análisis en la detección del funcionamiento diferencial del ítem

Psicothema

Volumn 17, Issue 3, 2005, Pages 509-515

  Montesinos, M Dolores Hidalgo ^a   Benito, Juana Gómez ^b   García, José Luis Padilla ^c  

^a UNIVERSITY OF MURCIA   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

^c UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33744789159     PISSN: 02149915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. Angoff, W.H. (1993). Perspectives on differential item functioning methodology. En P.W. Holland y H. Wainer (eds.): Differential Item Functioning. Hillsdale, NJ: Lawrence Erlbaum.
2. Bishop, Y.M.M., Fienberg, S.E. y Holland, P.W. (1975). Discrete multivariate analysis: theory and practice. Cambridge, MA: MIT Press.
3. Clauser, B.E. y Mazor, K.M. (1998). Using statistical procedures to identify differentially functioning test items. Educational Measurement: Issues and Practice, 17, 31-44.
4. Clauser, B.E., Nungester, R.J., Mazor, K. y Ripkey, D. (1996). A comparison of alternative matching strategies for DIF detection in tests that are multidimensional. Journal of Educational Measurement, 33, 202-214.
5. De Ayala, R.J., Kim, S.H., Stapleton, L.M. y Dayton, C. (1999). A reconceptualization of Differential Item Functioning. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
6. Ferreres, D., Fidalgo, A. y Muñiz, J. (2000). Detección del funcionamiento diferencial de los ítems no uniforme: comparación de los métodos Mantel-Haenzel y regresión logística. Psicothema, 12, 220-225.
7. Gierl, M.J., Gotzmann, A. y Boughton, K.A. (2004). Performance of SIB-TEST when the percentage of DIF items is large. Applied Measurement in Education, 17, 241-264.
8. Gómez, J. e Hidalgo, M.D. (1997). Evaluación del funcionamiento diferencial en ítems dicotómicos: una revisión metodológica. Anuario de Psicología, 74, 3-32.
9. Hidalgo, M.D. y Gómez, J. (2000). Comparación de la eficacia de la regresión logística politómica y análisis discriminante logístico en la de-tección del DIF no uniforme. Psicothema, 12, 298-300.
10. Hidalgo, M.D. y Gómez, J. (2003). Test purification and the evaluation of differential item functioning with multinomial logistic regression. European Journal of Psychological Assessment, 19, 1-11.
11. Hidalgo, M.D. y López, J.A. (2004). DIF detection and effect size: a comparision between logistic regression and Mantel-Haenszel variation. Educational and Psychological Measurement, 64, 903-915.
12. Hosmer, D.W. y Lemeshow, S. (1989). Applied Logistic Regression. New York, NY: Wiley.
13. Mellenbergh, GJ. (1982). Contingency table models for assessing item bias. Journal of Educational Statistics, 7, 105-108.
14. Miller, M.D. y Linn, R.L. (1988). Invariance of item characteristic functions with variations in instructional coverage. Journal of Educational Measurement, 25, 205-219.
15. Narayanan, P. y Swaminathan, H. (1994). Performance of the Mantel-Haenszel and Simultaneuos Item bias procedures for detecting differential item functioning. Applied Psychological Measurement, 18, 315-328.
16. Narayanan, P. y Swaminathan, H. (1996). Identification of items that show nonuniform DIF. Applied Psychological Measurement, 20, 257-274.
17. Raju, N.S. (1988). The area between two item characteristic curves. Psychometrika, 53, 495-502.
18. Rogers, H.J. y Swaminathan, H. (1993). A comparison of Logistic Regression and Mantel-Haenszel procedures for detecting differential item functioning. Applied Psychological Measurement, 17, 105-116.
19. Swaminathan, H. y Rogers, H.J. (1990). Detecting differential item functioning using logistic regression procedures. Journal of Educational Measurement, 27, 361-370.