Abstract
- Allison, P. D. (2003). Missing data techniques for structural equation modeling. Journal of Abnormal Psychology, 112, 545–557.
- Benbow, C. P. (1988). Sex-related differences in precocious mathematical reasoning ability: Not illusory, not easily explained. Behavioral and Brain Sciences, 11, 217–232.
- Benbow, C. P., & Arjmand, O. (1990). Predictors of high academic achievement in mathematics and science by mathematically talented students: A longitudinal study. Journal of Educational Psychology, 82, 430–441.
- Center for Child and Family Policy. (2007, June). Data housed in the North Carolina Education Research Data Center. Retrieved August 9, 2007, from http://www.pubpol.duke.edu/centers/child/ep/nceddatacenter/data. html.
- Cooper, H., Lindsay, J. J., Nye, B., & Greathouse, S. (1998). Relationships among attitudes about homework, amount of homework assigned and completed, and student achievement. Journal of Educational Psychology, 90, 70–83.
- Cooper, H. M., & Valentine, J. C. (2001). Using research to answer practical questions about homework. Educational Psychologist, 36, 143–154.
- Davis, G. A., & Rimm, S. B. (2004). Education of the gifted and talented (5th ed.). Boston: Pearson.
- Garson, G. D. (2008). Structural equation modeling. Retrieved January 15, 2008, from http://www2.chass.ncsu.edu/garson/pa765/structur.htm.
- Gavin, M. K., Casa, T., Adelson, J. L., Carroll, S. R. Sheffield, L. J., & Spinelli, A. M. (2007). Project M3: Mentoring Mathematical Minds—A research-based curriculum for talented elementary students. Journal of Advanced Academics, 18, 566–585.
- Gerber, S. B. (1996). Extracurricular activities and academic achievement. Journal of Research and Development in Education, 30, 42–50.
- Grigg, W., Donahue, P., & Dion, G. (2007). The Nation’s Report Card: 12th-grade reading and mathematics 2005 (Report No. NCES 2007–468). Washington, DC: U.S. Government Printing Office.
- Hoffer, T. B. (1992). Middle school ability grouping and student achievement in science and mathematics. Educational Evaluation & Policy Analysis, 14, 205–227.
- House, J. D. (2005). Motivational qualities of instructional strategies and computer use for mathematics teaching in Japan and the United States: Results from the TIMSS 1999 Assessment. International Journal of Instructional Media, 32, 89–104.
- Kilpatrick, J., Swafford, J., & Findell, B. (2001). Adding it up: Helping children learn mathematics. Washington, DC: National Academic Press.
- Lee, S.-Y., Matthews, M. S., & Olszewski-Kubilius, P. (2008). A national picture of talent search and talent search educational programs. Gifted Child Quarterly, 52, 55–69.
- Lubinski, D., & Benbow, C. P. (2006). Study of Mathematically Precocious Youth after 35 years: Uncovering antecedents for the development of math-science expertise. Perspectives on Psychological Science, 1, 316–345.
- Ma, X. (1999). Dropping out of advanced mathematics: The effects of parental involvement. Teachers College Record, 101, 60–81.
- Ma, X. (2002). Early acceleration of mathematics students and its effect on growth in self-esteem: A longitudinal study. International Review of Education, 48, 443–468.
- Ma, X. (2003). Effects of early acceleration of students in mathematics on attitudes toward mathematics and mathematics anxiety. Teachers College Record, 105, 438–464.
- Matthews, M. S. (2006). Gifted students dropping out: New evidence from a talent search population. Roeper Review, 28, 216–223.
- Matthews, M. S. (2007). Talent search programs. In J. A. Plucker & C. M. Callahan (Eds.), Critical issues and practices in gifted education (pp. 641–653). Waco, TX: Prufrock Press.
- Matthews, M. S., & McBee, M. T. (2007). School factors and the underachievement of gifted students in a talent search summer program. Gifted Child Quarterly, 51, 167–181.
- Matthews, M. S., & Dodge, K. A. (2008). Ethnic variation in the prediction of Algebra I achievement among academically able students. Manuscript in preparation.
- Mayer, R. E. (1995). Mathematical ability. In R. J. Sternberg (Ed.), Encyclopedia of human intelligence: Vol. 2 (pp. 688–691). New York: Simon & Schuster Macmillan.
- Musil, C. M., Jones, S. L., & Warner, C. D. (1998). Structural equation modeling and its relationship to multiple regression and factor analysis. Research in Nursing and Health, 21, 271–281.
- Nokelainen, P., Tirri, K., & Meremti-Välimäki, H. (2004, April). Self-attributions and parental influence as predictors of mathematical talent. Paper presented at the annual conference of the American Educational Research Association, San Diego, CA.
- Raykov, T., & Marcoulides, G. (2006). A first course in structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.
- Reis, S. M., & Diaz, E. I. (1999). Economically disadvantaged urban female students who achieve in schools. The Urban Review, 31, 31–54.
- Schreiber, J. B. (2002). Institutional and student factors and their influence on advanced mathematics achievements. Journal of Educational Research, 95, 274–286.
- Siegle, D., & McCoach, B. (2007). Increasing student mathematics self-efficacy through teacher training. Journal of Advanced Academics, 18, 278–312.
- Stanley, J. C. (1988). Some characteristics of SMPY’s “700–800 on SAT-M before age 13 group”: Youths who reason extremely well mathematically. Gifted Child Quarterly, 32, 205–209.
- Stanley, J. C., & Benbow, C. P. (1982). Educating mathematically precocious youths: Twelve policy recommendations. Educational Researcher, 11, 4–9.
- Stanley, J. C., Keating, D. P., & Fox, F. H. (1974). Mathematical talent: Discovery, description, and development. Baltimore: Johns Hopkins University Press.
- Subotnik, R. F., & Steiner, C. L. (1994). Adult manifestations of adolescent talent in science: A longitudinal study of 1983 Westinghouse Science Talent Search winners. In R. F. Subotnik & K. D. Arnold (Eds.), Beyond Terman: Contemporary longitudinal studies of giftedness and talent (pp. 52–76). Norwood, NJ: Ablex.
- Talent Identification Program. (2007). Duke University Talent Identification Program. Retrieved August 8, 2007, from http://www.tip.duke.edu.
- Test characteristics of the SAT Reasoning Test™: Reliability, difficulty levels, completion rates. (2006). Retrieved July 27, 2007, from http://www.collegeboard.com/prod_downloads/highered/ra/sat/sat-test-characteristics.pdf.
- U.S. Department of Education. (1997). Mathematics equals opportunity [White Paper prepared for U.S. Secretary of Education, Richard W. Riley]. Washington, DC: Author. (ERIC Document Reproduction Service No. ED415119).
- Wagner, H., & Zimmermann, B. (1986). Identification and fostering of mathematically gifted students: Rationale of a pilot study. Educational Studies in Mathematics, 17, 243–259.
- Walker, S., & Senger, E. (2007). Using technology to teach developmental African-American Algebra students. Journal of Computers in Mathematics and Science Teaching, 26, 217–231.
- Wang, J., & Goldschmidt, P. (2003). Importance of middle school mathematics on high school students’ mathematics achievement. Journal of Educational Research, 97, 3–19.
- Zarch, M. K., & Kadivar, P. (2006). The role of mathematics self-efficacy and mathematics ability in the structural model of mathematics performance. WSEAS Transactions on Mathematics, 6, 713–720.
- Volume 19
- Issue 3
- Publication Date: Spring 2008
- Page Number(s): 472-501
- DOI: 10.4219/jaa-2008-810
Factors Affecting the Algebra I Achievement of Academically Talented Learners
Michael S. Matthews and Jennie L. Farmer
The researchers used structural equation modeling to examine the relationship among selected variables and talent search students’ scores (N = 3,622) on a standardized measure of Algebra I achievement. Study variables included prior mathematics ability, parental education level, whether a student was identified as gifted, participation in afterschool activities, the time spent on homework, and the amount of class time spent on discussions and lectures. The strongest relationship observed was between mathematics reasoning and Algebra I achievement. Although gifted status was a strong predictor of mathematics reasoning, it was not strongly related to Algebra I achievement within this highly able population.
Cart Summary
Your cart is empty.

