An comparison of the area methods, Lord's chi-square test and logistic regres-sion analysis for assesing differential item functioning;Comparación entre las medidas de área, el estadístico de lord y el análisis de regresión logística en la evaluación del funcionamiento diferencial de los items

Psicothema

Volumn 9, Issue 2, 1997, Pages 417-431

  Montesinos, Ma Dolores Hidalgo ^a   Pina, José Antonio López ^a  

^a UNIVERSITY OF MURCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0347219603     PISSN: 02149915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Baker, F.B. (1993). EQUATE 2.0: A computer program for the characteristic curve method of IRT equating. [Computer program] Madison WI: University of Wisconsin. Laboratory of Experimental Design.
2. Candell, G.L. y Drasgow, F. (1988). An iterative procedure for linking metrics and assesing item bias in item response theory. Applied Psychological Measurement, 12, 253-260.
3. Clauser, B., Mazor, K.M. y Hambleton, R.K. (1993). The effects of purification of the matching criterion on the identification of DIF using the Mantel-Haenszel procedure. Applied Measurement in Education, 6, 269-279.
4. 2 and Raju's area measures in detection of DIF. Applied Psychological Measurement, 17,39-52.
5. Cohen, A.S., Kim, S.H. y Baker, E. (1993). Detection of Differential Item Functioning in the Graded Response Model. Applied Psychological Measurement, 17, 335-350.
6. Fidalgo, A.M. (1996). Funcionamiento diferencial de los items. Procedimiento Mantel-Haenszel y modelos loglineales. Tesis doctoral no publicada. Universidad de Oviedo.
7. Hambleton, R.K. y Rogers, H.J. (1989). Detecting Potentially Biased Test Items: Comparison of IRT Area and Mantel-Haenszel Methods. Applied Measurement in Education, 2, 313-334.
8. Hidalgo, M.D. (1995). Evaluación del funcionamiento diferencial del ítem en items dicotómicos y politómicos: un estudio comparativo. Tesis doctoral no publicada. Murcia, Universidad de Murcia.
9. Hidalgo, M.D. y López Pina, J.A. (1995). SIMULA 2.0: Un programa para la simulación de vectores de respuesta al Ítem. Demostración de software presentada al IV Symposium de Metodología de las Ciencias del Comportamiento, La Manga, Murcia.
10. Holland, P.W. y Thayer, D.T. (1988). Differential item performance and Mantel-Haenszel procedure. En H. Wainer y H.I. Braun (Eds) Test Validity. Hillsdale, N.J.: Erlbaum.
11. Hosmer, D.W. y Lemeshow, S. (1989). Applied Logistic Regression. New York, NY: Wiley.
12. Kim, S.H. y Cohen, A.S. (1991). A comparison of two area measures for detecting differential item functioning. Applied Psychological Measurement, 15, 269-278.
13. Kirn, S.H. y Cohen, A.S. (1992a). Effects of linking methods on detection of DIF. Journal of Educational Measurement, 29, 51-66.
14. Kim, S.H. y Cohen, A.S. (1992b). IRTDIF: A computer program for IRT differential item functioning analysis. Applied Psychological Measurement, 16, 158.
15. Lautenschlager, G.J., Flaherty, V.L. y Park, D. (1994). IRT differential item functioning: An examination of ability scale purifications. Educational and Psychological Measurement, 54,21-31.
16. Lautenschlager, G.J. y Park, D. (1988). IRT item bias detection procedures: Issues of model misspecification, robustness and parameter linkina.Applied Psychological Measurement, 12, 365-376.
17. Lord, F.M. (1980). Applications of item response theory to practical testing problems. Hillsdale, N.J.: Erlbaum.
18. Mellenbergh, G.J. (1982). Contingency table models for assesing item bias. Journal of Educational Statistics, 7, 105-118.
19. Miller, M.D. y Oshima, T.C. (1992). Effect of sample size, number of biased items and magnitude of bias on a two-stage item bias estimation method. Applied Psychological Measurement, 16,381-388.
20. Millsap, R.E. y Everson, H.T. (1993). Methodology Review: Statistical Approaches for Assesing Measurement Bias. Applied Psychological Measurement, 17, 297-334.
21. Mislevy, R.J. y Bock, R.D. (1990). PC-BILOG: Item analysis and test scoring with binary logistic models. [Computer program]. Mooresville, IN: Scientific Software.
22. Navas, M.J. y Gómez, J. (1994). Comparison of several bias detection techniques. Paper presented at the 23rd. International Congress of Applied Psychology, Madrid.
23. Park, D.G. y Lautenschlager, G.J. (1990). Improving IRT item bias detection with iterative linking and ability scale purification. Applied Psychological Measurement, 14, 163-173.
24. Raju, N.S. (1988). The area between two item characteristic curves. Psychometrika, 53, 492-502.
25. Raju, N.S. (1990). Determining the significance of estimated signed and unsigned areas between two item response functions. Applied Psychological Measurement, 14, 197-207.
26. 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.
27. Scheuneman, J. (1979). A new method for assessing bias in test items. Journal of Educational Measurement, 16, 143-152.
28. Steinberg, D. y Phillips, C. (1991). LOGIT: A supplementary module for SYSTAT. Evanston, IL: SYSTAT, Inc.
29. Stocking, M.L. y Lord, F.M. (1983). Developing a common metric in item response theory. Applied Psychological Measurement, 7, 201-210.
30. Swaminathan, H. y Rogers, H.J. (1990). Detecting differential item functioning using logistic regression procedures. Journal of Educational Measurement, 27, 361-370.
31. Thissen, D., Steinberg, L. y Wainer, H. (1988). Use of item response theory in the study of group differences in trace lines. En H. Wainer y H.I. Braun (Eds.) Test Validity. Hillsdale, N.J.: Erlbaum.
32. Thissen, D., Steinberg, L. y Wainer, H. (1993). Detection of Differential Item Functioning Using the Parameters of Item Response Models. En P.W. Holland y H. Wainer (Eds.) Differential Item Functioning (pp. 67-113). Hillsdale, NJ: LEA.