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Biased Against Whom? The Problems of “Group” Definition and Membership in Test Bias Analyses

Published online by Cambridge University Press:  07 January 2015

Stephen M. Colarelli ,
Kyunghee Han  and
Chulguen Yang
Stephen M. Colarelli*
Affiliation:
Central Michigan University
Kyunghee Han
Affiliation:
Central Michigan University
Chulguen Yang
Affiliation:
Southern Connecticut State University
*
E-mail: colar1sm@cmich.edu, Address: Department of Psychology, Central Michigan University, Mt. Pleasant, MI 48859
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Abstract

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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 3 , Issue 2 , June 2010 , pp. 228 - 231
Copyright
Copyright © Society for Industrial and Organizational Psychology 2010 

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Footnotes

*

Department of Psychology, Central Michigan University

References

Anderson, N. B., & Nickerson, K. J. (Eds.). (2005). Genes, race, and psychology in the genome era [Special issue]. American Psychologist, 60(1).Google Scholar
Cavalli-Sforza, L. L. (2000). Genes, peoples, and languages. Berkeley, CA: University of California Press.Google Scholar
Colarelli, S. M., Poole, D. A., Unterborn, K., & D’Souza, G. (in press). Racial prototypicality, affirmative action, and hiring decisions in a multi-racial world. International Journal of Assessment and Selection.Google Scholar
Colarelli, S. M., Yang, C., D’Souza, G., & Han, K. (2010). Differential item functioning: Effects of group membership and bias correspondence. Manuscript in preparation.Google Scholar
Craemer, T. (2005, May). Can a survey change one's race? An experiment on context effects and racial self-classification . Paper presented at the annual meeting of the American Association for Public Opinion Research, Miami Beach, FL.Google Scholar
Gorski, R. A. (1991). Sexual differentiation of the endocrine brain and its control. In Motta, M. (Ed.), Brain endocrinology (2nd ed.). New York: Raven Press.Google Scholar
Guion, R. M. (1998). Assessment, measurement, and prediction for personnel decisions. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Hickman, C. B. (1997). The devil and the one drop rule: Racial categories, African Americans, and the U.S. census. Michigan Law Review, 95, 1161–1265.Google Scholar
Lareau, A. (2001). Social class differences in family-school relationships: The importance of cultural capital. Sociology of Education, 60, 78–85.Google Scholar
Meade, A. W., & Tonidandel, S. (2010). Not seeing clearly with Cleary: What test bias analyses do and do not tell us. Industrial and Organizational Psychology, 3, 192–205.Google Scholar
National Center of Educational Statistics. (2006). Digest of Educational Statistics, 2005: Percent of persons age 25 to 29, by race/ethnicity, years of school completed: Selected years, 1910 through 2005. Retrieved March 28, 2007, from nces.ed.gov/programs/digest/.Google Scholar
Nobles, M. (2000). Shades of citizenship: Race and the census in modern politics. Stanford, CA: Stanford University Press.Google Scholar
Parra, E. J., Marcini, A., Akey, J., Martinson, J., Batzer, M. A., Cooper, R., et al. (1998). Estimating African American admixture proportions by use of population-specific alleles. The American Journal of Human Genetics, 63, 1839–1851.Google Scholar
Poole, D. A., Warren, A., & Nunez, N. (2007). The story of human development. Upper Saddle River, NJ: Prentice-Hall.Google Scholar
Roberts, K. H., Hulin, C. L., & Rousseau, D. M. (1978). Developing an interdisciplinary science of organizations. San Francisco: Jossey-Bass.Google Scholar
Rosenfeld, M. J. (2006). Young adulthood as a factor in social change in the United States. Population and Development Review, 32, 27–51.Google Scholar
Schaefer, R. T. (2009). Racial and ethnic groups (12th ed.). Upper Saddle River, NJ: Prentice Hall.Google Scholar
Sheppard, R., Han, K., Colarelli, S. M., Dai, G., & King, D. W. (2006). Differential item functioning by sex and race in the Hogan Personality Inventory. Assessment, 20, 1–12.Google Scholar
Shreve, J. (1994, November). Terms of estrangement. Discover, 15, 57–63.Google Scholar
Smith, T. W. (1997). Measuring race by observation and self-identification . (GSS Methodological Report No. 89. National Opinion Research Center, University of Chicago). Retrieved March 16, 2008, from cloud9.norc.uchicago.edu/dlib/m-89.htm.Google Scholar
Stanley, J. (1967). Further evidence via analysis of variance that women are more predictable academically than men. Ontario Journal of Educational Research, 10, 49–56.Google Scholar
Thomas, A. A. (2009). The effect of family immigration history on Blacks in higher education. Sociology Compass, 3, 836–846.Google Scholar
U.S. Census. (1994). Table 1. Race of wife by race of husband: 1960, 1970, 1980, 1991, and 1992 . Retrieved March 30, 2008, from http://www.census.gov/population/socdemo/race/interractab1.txt.Google Scholar