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  • Colangelo, N., Assouline, S., & Gross, M. U. M. (2004). A nation deceived: How schools hold back America's brightest students (Vols. 1–2). Iowa City: The University of Iowa, The Connie Belin and Jacqueline N. Blank International Center for Gifted Education and Talent Development.
  • Donovan, M. S., & Cross, C. T. (Eds.). (2002). Minority students in special and gifted education. Washington, DC: National Academy Press.
  • Gross, M. U. M. (2003). Exceptionally gifted children. New York: Routledge-Falmer.
  • Gross, M. U. M., & van Vliet, H. E. (2005). Radical acceleration and early entry to college: A review of the research. Gifted Child Quarterly, 49, 154–171.
  • King, G., & Zeng, L. (2001). Logistic regression in rare events data. Political Analysis, 9, 137–163.
  • Konstantopoulos, S., Modi, M., & Hedges, L. V. (2001). Who are America's gifted? American Journal of Education, 109, 344–382.
  • Kulik, J. A. (2004). Meta-analytic studies of acceleration. In N. Colangelo, S. Assouline, & M. U. M. Gross (Eds.), A nation deceived: How schools hold back America's brightest students (Vol. 2, pp. 13–22). Iowa City: The University of Iowa, The Connie Belin & Jacqueline N. Blank International Center for Gifted Education and Talent Development.
  • Kulik, J. A., & Kulik, C. C. (1992). Meta-analytic findings on grouping programs. Gifted Child Quarterly, 36, 73–77.
  • National Center for Education Statistics. (2002). Quick guide to using the NELS:88/2000 data: Base-year to fourth follow-up data file user's manual: Appendix A (NCES 2002–323). Washington, DC: Author. Retrieved from http://nces.ed.gov/surveys/nels88/pdf/QuickGuide.pdf.
  • O'Gorman, T. W., & Woolson, R. F. (1991). Variable selection to discriminate between two groups: Stepwise logistic regression or stepwise discriminant analysis? The American Statistician, 45, 187–193.
  • Pedhazur, E. J. (1997). Multiple regression in behavioral research: Explanation and prediction (3rd ed.). New York: Wadsworth.
  • Press, S. J., & Wilson, S. (1978). Choosing between logistic regression and discriminant analysis. Journal of the American Statistical Association, 73, 669–705.
  • Pressey, S. L. (1949). Educational acceleration: Appraisals and basic problems (Ohio State University Studies, Bureau of Educational Research Monograph No. 31). Columbus: Ohio State University Press.
  • Rogers, K. B. (1992). A best-evidence synthesis of the research on acceleration options for gifted learners. In N. Colangelo, S. G. Assouline, & D. L. Ambroson (Eds.), Talent development: Proceedings from the 1991 Henry B. and Jocelyn Wallace National Research Symposium on Talent Development (pp. 406–409). Unionville, NY: Trillium.
  • Rogers, K. B. (2002). Re-forming gifted education: Matching the program to the child. Scottsdale, AZ: Great Potential Press.
  • Rogers, K. B. (2004). The academic effects of acceleration. In N. Colangelo, S. Assouline, & M. U. M. Gross (Eds.), A nation deceived: How schools hold back America's brightest students (Vol. 2, pp. 47–57). Iowa City: The University of Iowa, The Connie Belin & Jacqueline N. Blank International Center for Gifted Education and Talent Development.
  • Sayler, M. F., & Brookshire, W. K. (1993). Social, emotional, and behavioral adjustment of accelerated students, students in gifted classes, and regular students in eighth grade. Gifted Child Quarterly, 37, 150–154.
  • Southern, W. T., & Jones, E. D. (2004). Types of acceleration: Dimensions and issues. In N. Colangelo, S. Assouline, & M. U. M. Gross (Eds.), A nation deceived: How schools hold back America's brightest students (Vol. 2, pp. 5–12). Iowa City: The University of Iowa, The Connie Belin & Jacqueline N. Blank International Center for Gifted Education and Talent Development.
  • Southern, W. T., Jones, E. D., & Fiscus, E. D. (1989). Practitioner objections to the academic acceleration of gifted children. Gifted Child Quarterly, 33, 29–35.
  • Swiatek, M. A., & Benbow, C. P. (1991). Ten-year longitudinal follow-up of ability-matched accelerated and unaccelerated gifted students. Journal of Educational Psychology, 83, 528–538.
  • U.S. Census Bureau. (1987). Table 22. Single grade of enrollment and high school graduation status for people 3 years old and over, by age (single years for 3 to 24 years), sex, race, and Hispanic origin: October 1987. Retrieved from http://www.census.gov/population/socdemo/school/p20-443/tab22.pdf.
  • U.S. Census Bureau. (2001). Table 2. Single grade of enrollment and high school graduation status for people 3 years old and over, by age (single years for 3 to 24 years), sex, race, and Hispanic origin: October 2001. Retrieved from http://www.census.gov/population/socdemo/school/cps2001/tab02.pdf.
  • Vialle, W., Ashton, T., Carlon, G., & Rankin, F. (2001). Acceleration: A coat of many colours. Roeper Review, 24, 14–19.
  • Winner, E. (1996). Gifted children: Myths and realities. New York: Basic Books.
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  • Volume 20
  •  Issue 2
  • Publication Date: Winter 2009
  • Page Number(s): 248-273



What Factors Are Associated With Grade Acceleration?

Ryan Wells, David Lohman and Maureen Marron

Which children are grade accelerated in K–7 education? Have factors associated with grade acceleration changed over time? We examined personal, family, and school factors associated with three forms of grade acceleration (early entrance to kindergarten, early entrance to first grade, and grade skipping) using the NELS and ELS datasets. Other things being equal, females, Asian Americans, and students living on the U.S. east or west coast were more likely to be grade accelerated. When accelerated students were compared to older classmates of similar achievement who were not accelerated, accelerated students showed greater gains in achievement than nonaccelerated classmates during high school.



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