Reasons for Gender-Related Differential Item Functioning in a College Admissions Test

References

• Abad, F. J., Colom, R., Rebollo, I., & Escorial, S. (2004). Sex differential item functioning in the Raven’s advanced progressive matrices: Evidence for bias. Personality and Individual Differences, 36, 1459–1470. doi: 10.1016/S0191-8869(03)00241-1
   Web of Science ®Google Scholar
• Allalouf, A., Hambleton, R. K., & Sireci, S. G. (1999). Identifying the causes of DIF in translated verbal items. Journal of Educational Measurement, 36(3), 185–198. doi: 10.1111/j.1745-3984.1999.tb00553.x
   Web of Science ®Google Scholar
• American Educational Research Association [AERA], American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. Washington, DC: Author.
   Google Scholar
• Araujo, J., & Born, D. G. (1985). Calculating percentage agreement correctly but writing its formula incorrectly. The Behavior Analyst, 8(2), 207–208. doi: 10.1007/BF03393152
   PubMed Web of Science ®Google Scholar
• Bränberg, K., Henriksson, W., Nyquist, H., & Wedman, I. (1990). The influence of sex, education and age on test scores on the Swedish Scholastic Aptitude Test. Scandinavian Journal of Educational Research, 34(3), 189–203. doi: 10.1080/0031383900340302
   Google Scholar
• Carlton, S. T., & Harris, A. M. (1992). Characteristics associated with differential item functioning on the Scholastic Aptitude Test: Gender and majority/minority group comparisons ( Report no. ETS-RR-92-64). Princeton, NJ: Educational Testing Service.
   Google Scholar
• Chubbuck, K., Curley, W. E., & King, T. C. (2016). Who’s on first? Gender differences in performance on the SAT test on critical reading items with sports and science content ( Report No. RR-16-26). Princeton, NJ: Educational Testing Service.
   Google Scholar
• Henriksson, W., Stage, C., & Lexelius, A. (1986). Samma uppgift men olika innehåll: En studie av NOG-provet [The same item but different content: A study of the data sufficiency subtest]. ( Report No. PM nr 10). Umeå: Umeå University.
   Google Scholar
• Hidalgo, M. D., Gómez-Benito, J., & Zumbo, B. D. (2014). Binary logistic regression analysis for detecting differential item functioning: Effectiveness of R2 and delta log odds ratio effect size measures. Educational and Psychological Measurement, 74(6), 927–949. doi: 10.1177/0013164414523618
   Web of Science ®Google Scholar
• Hidalgo, M. D., & López-Pina, J. A. (2004). Differential item functioning detection and effect size: A comparison between logistic regression and Mantel-Haenszel procedures. Educational and Psychological Measurement, 64(6), 903–915. doi: 10.1177/0013164403261769
   Web of Science ®Google Scholar
• Holland, P. W., & Thayer, D. T. (1988). Differential item performance and the Mantel-Haenszel procedure. In H. Wainer & H. I. Braun (Eds.), Test validity (pp. 129–145). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Iwata, N., Turner, R. J., & Lloyd, D. A. (2002). Race/ethnicity and depressive symptoms in community-dwelling young adults: A differential item functioning analysis. Psychiatry Research, 110, 281–289. doi: 10.1016/S0165-1781(02)00102-6
   PubMed Web of Science ®Google Scholar
• Jodoin, M. G., & Gierl, M. J. (2001). Evaluating type I error and power rates using an effect size measure with the logistic regression procedure for DIF detection. Applied Measurement in Education, 14(4), 329–349. doi: 10.1207/S15324818AME1404_2
   Web of Science ®Google Scholar
• Kimball, M. M. (1989). A new perspective on women’s math achievement. Psychological Bulletin, 105(2), 198–214. doi: 10.1037/0033-2909.105.2.198
   Web of Science ®Google Scholar
• Lawrence, I. M., & Curley, W. E. (1989). Differential item functioning for males and females on SAT-verbal reading subscore items: Follow-up study ( Report No. RR-89-22). Princeton, NJ: Educational Testing Service.
   Google Scholar
• Lawrence, I. M., Curley, W. E., & McHale, F. J. (1988). Differential item functioning for males and females on SAT-verbal reading subscore items ( Report No. 88-4). New York, NY: College Entrance Examination Board.
   Google Scholar
• Mantel, N., & Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute, 22(4), 719–748.
   PubMed Web of Science ®Google Scholar
• Schmitt, A. P., Holland, P. W., & Dorans, N. J. (1992). Evaluating hypotheses about differential item functioning ( Report No. ETS-RR-92-8). Princeton, NJ: Educational Testing Service.
   Google Scholar
• Skolöverstyrelsen. (1976). Prov för urval till högre studier (SÖ Publication No. rapp 83/334). [Test for selection to higher education]. Stockholm: Skolöverstyrelsen.
   Google Scholar
• Stage, C. (1985). Gruppskillnader i provresultat: Uppgiftsinnehållets betydelse för resultatskillnader mellan män och kvinnor på prov i ordkunskap och allmänorientering [Group differences in test results: The significance of test item contents for sex differences in results on tests on vocabulary and general knowledge]. (Doctoral dissertation). Retrieved from https://www.diva-portal.org/smash/get/diva2:156278/FULLTEXT02.pdf
   Google Scholar
• Stage, C. (1988). Gender differences in test results. Scandinavian Journal of Educational Research, 32(3), 101–111. doi: 10.1080/0031383880320301
   Google Scholar
• Stage, C. (2005). Socialgruppsskillnader i resultat på högskoleprovet [Social group differences in scores on the Swedish Scholastic Assessment Test]. ( Report No. BVM 11:2005). Umeå: Umeå University.
   Google Scholar
• Swaminathan, H., & Rogers, H. J. (1990). Detecting differential item functioning using logistic regression procedures. Journal of Educational Measurement, 27(4), 361–370. doi: 10.1111/j.1745-3984.1990.tb00754.x
   Web of Science ®Google Scholar
• Swedish Council for Higher Education. (2016, February 9). Överenskommelse mellan Universitets- och högskolerådet och Umeå universitet om konstruktion av högskoleprovet m.m. Stockholm: Swedish Council for Higher Education. [Agreement between the Swedish Council for Higher Education and Umeå University on the construction of the Swedish Scholastic Assessment Test etc.] [Agreement] (Reference No. 3.5.1-986-2015).
   Google Scholar
• Wedman, J., & Lyrén, P.-E. (2015). Methods for examining the psychometric quality of subscores: A review and application. Practical Assessment, Research & Evaluation, 20(21), Retrieved from http://pareonline.net/getvn.asp?v=20&n=21
   Google Scholar
• Wester, A. (1992). Item bias with respect to gender interpreted in the light of problem-solving strategies ( Report No. EM No 3). Umeå: Umeå University.
   Google Scholar
• Wester, A. (1994). Gender differences in testing: DIF analyses using the Mantel-Haenszel technique on three subtests in the Swedish SAT ( Report No. EM No 12). Umeå: Umeå University.
   Google Scholar
• Wester, A. (1997). Differential item functioning (DIF) in relation to item content: A study of three subtests in the SweSAT with focus on gender ( Report No. EM No 27). Umeå: Umeå University.
   Google Scholar
• Wester, A., & Ögren, G. (1994). Uppgiftsformatets betydelse för könsskillnader i provprestation: Ett andra försök med öppna frågor i DTK-provet [The effect of item format on gende-differences in test performance: A second attempt using open-ended items in the subtest diagrams tables and maps]. ( Report No. PM Nr 94). Umeå: Umeå University.
   Google Scholar
• Wiberg, M. (2009). Differential item functioning in mastery tests: A comparison of three methods using real data. International Journal of Testing, 9(1), 41–59. doi: 10.1080/15305050902733455
   Google Scholar
• Zheng, Y., Gierl, M. J., & Cui, Y. (2007). Using real data to compare DIF detection and effect size measures among Mantel-Haenszel, SIBTEST, and logistic regression procedures. Paper presented at the 2007 Annual Meeting of the National Council on Measurement in Education, Chicago, IL. Retrieved from www.crame.ualberta.ca/files/ncme2007zheng.pdf
   Google Scholar
• Zieky, M. (1993). Practical questions in the use of DIF statistics in test development. In P. W. Holland & H. Wainer (Eds.), Differential item functioning (pp. 337–347). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
   Google Scholar
• Zumbo, B. D. (1999). A handbook on the theory and methods of differential item functioning (DIF): Logistic regression modelling as a unitary framework for binary and Likert-type (ordinal) item scores. Retrieved from http://www.faculty.educ.ubc.ca/zumbo/DIF/handbook.pdf
   Google Scholar