Tripartite growth trajectories of reading and math achievement: Tracking national academic progress at primary, middle, and high school levels

American Educational Research Journal

Volumn 47, Issue 4, 2010, Pages 800-832

  Lee, Jaekyung ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

achievement; human development; longitudinal studies; NAEP; testing

Indexed keywords

EID: 78649956485     PISSN: 00028312     EISSN: None     Source Type: Journal    
DOI: 10.3102/0002831210365009     Document Type: Article

References (71)

1. ACT. (2005a). Crisis at the core: Preparing all students for college and work. Retrieved December 11, 2008, from http://www.act.org.
2. ACT. (2005b). Do current state standards and assessments reflect college readiness? A case study. Retrieved December 11, 2008, from http://www.act.org.
3. ACT. (2008). High school profile report, selected years, 1997 through 2007. Retrieved July 20, 2008, from http://www.act.org.
4. Baker, D.P. (2003). Should we be more like them? Reflections on causes of cross-national high school achievement differences and implications for American educational reform policy. In D. Ravitch (Ed.), Brookings papers on education policy (pp. 309-325). Washington, DC: Brookings Institution.
5. Baltes, P.B., Reese, H.W., & Nesselroade, J.R. (1977). Life-span developmental psychology: Introduction to research methods. Monterey, CA: Brooks/Cole.
6. Beggs, D.L., & Hieronymus, A.N. (1968). Uniformity of growth in the basic skills throughout the school year and during the summer. Journal of Educational Measurement, 5, 91-97.
7. Bergman, L.R., Eklund, G., & Magnusson, D. (1991). Studying individual development: Problems and methods. In D. Magnusson, L. R. Bergman, G. Rudinger, & B. Torestad (Eds.), Problems and methods in longitudinal research: Stability and change (pp. 1-27). New York: Cambridge University Press.
8. Berliner, D.C., & Biddle, B.J. (1995). The manufactured crisis: Myth, fraud, and the attack on America's public schools. Reading, MA: Addison-Wesley.
9. Blinder, A.S. (1973). Wage discrimination: Reduced form and structural estimates. Journal of Human Resources, 11(1), 8-22.
10. Bloom, B. (1964). Stability and change in human characteristics. New York: John Wiley.
11. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge, MA: Harvard University Press.
12. Brophy, J., & Carole, A. (2005). NAEP testing for twelfth graders: Motivational issues. Washington, DC: National Assessment Governing Board. Retrieved from ERIC database. (ED500959).
13. Bryk, A.S., & Raudenbush, S.W. (1987). Application of hierarchical linear models to assessing change. Psychological Bulletin, 101, 147-158.
14. Campbell, F.A., Pungello, E.P., Miller-Johnson, S., Burchinal, M., & Ramey, C.T. (2001). The development of cognitive and academic abilities: Growth curves from an early childhood educational experiment. Developmental Psychology, 37(2), 231-242.
15. Coley, R.J. (1998). Growth in school: Achievement gains from the fourth to the eighth grade (ETS Policy Information Report). Princeton, NJ: ETS.
16. Coley, R.J. (2003). Growth in school revisited: Achievement gains from the fourth to the eighth grade (ETS Policy Information Report). Princeton, NJ: ETS.
17. College Board. (2008). College-bound seniors: Total group profile [national] report, selected years, 1996-97 through 2006-07. Retrieved July 20, 2008, from http://www.collegeboard.com.
18. CTB/McGraw-Hill. (1997). TerraNova technical bulletin. Monterey, CA: Author.
19. CTB/McGraw-Hill. (2003). TerraNova technical report. Monterey, CA: Author.
20. Eccles, J.S., Lord, S., & Midgley, C. (1991). What are we doing to early adolescents? The impact of educational contexts on early adolescents. American Journal of Education, 99(4), 521-542.
21. Flynn, J.R. (1984). The mean IQ of Americans: Massive gains 1932 to 1978. Psychological Bulletin, 95, 29-51.
22. Flynn, J.R. (1998). IQ gains over time: Towards finding the causes. In U. Neisser (Ed.), The rising curve: Long term gains in IQ and related measures (pp. 25-66). Washington, DC: American Psychological Association.
23. Flynn, J.R., & Weiss, L.G. (2007). American IQ gains from 1932 to 2002: The WISC subtests and educational progress. International Journal of Testing, 7(2), 209-224.
24. Foster, E.M., & Kalil, A. (2005). Developmental psychology and public policy: Progress and prospects. Developmental Psychology, 41(6), 827-832.
25. Fusaro, J. (1997). The effect of full-day kindergarten on student achievement: A meta-analysis. Child Study Journal, 27(4), 269-277.
26. Gormley, W.T., Gayer, T., Phillips, D., & Dawson, B. (2005). The effects of universal pre-K on cognitive development. Developmental Psychology, 41(6), 872-884.
27. Grissmer, D., Kirby, S.N., Berends, M., & Willamson, S. (1994). Student achievement and the changing American family. Santa Monica, CA: Rand.
28. Grubb, N.W., & Lazerson, M. (2005). Vocationalism in higher education: The triumph of the education gospel. Journal of Higher Education, 76(1), 1-25.
29. Haertel, E.H. (1991). Report on TRP analyses of issues concerning within-age versus cross-age scales for the National Assessment of Educational Progress. Retrieved from ERIC database. (ED404367).
30. Harcourt Educational Measurement. (2002). Metropolitan8 Form V technical manual (Metropolitan Achievement Tests 8th ed.). San Antonio, TX: Author.
31. Ingels, S.J., Pratt, D.J., Rogers, J., Siegel, P.H., & Stutts, E. (2005). ELS:2002 base year to first follow-up data file documentation (NCES Pub. No. 2006344). Washington, DC: National Center for Education Statistics.
32. Kiplinger, V.L., & Linn, R.L. (1995/1996). Raising the stakes of test administration: The impact on student performance on NAEP. Educational Assessment, 3(2), 111-133.
33. Koedel, C., & Betts, J. (2009). Value-added to what? How a ceiling effect in the testing instrument influences value-added estimation (NBER Working Paper No. 14778). Retrieved June 3, 2009, from http://www.nber.org/papers/w14778.
34. Kolen, M.J., & Brennan, R.L. (2004). Test equating, scaling, and linking: Methods and practices (2nd ed.). New York: Springer-Verlag.
35. Lee, J. (2001). School reform initiatives as balancing acts: Policy variation and educational convergence among Japan, Korea, England and the United States. Educational Policy Analysis Archives, 9(13). Retrieved May 22, 2003, from http://epaa.asu.edu/epaa/v9n13.html.
36. Lee, J., & Fish, R. (2008, March). Are Asian schools more effective than American schools? International and interstate comparisons of school effects. Paper presented at the annual meeting of the American Educational Research Association (AERA), New York.
37. Lee, V.E., Brooks-Gunn, J., Schnur, E., & Liaw, F.R. (1990). Are Head Start effects sustained? A longitudinal follow-up comparison of disadvantaged children attending Head Start, no preschool, and other preschool programs. Child Development, 61, 495-507.
38. Lichten, W. (2004). On the law of intelligence. Developmental Review, 24(3), 252-288.
39. Linton, T.H., & Kester, D. (2003). Exploring the achievement gap between White and minority students in Texas: A comparison of the 1996 and 2000 NAEP and TAAS eighth grade mathematics test results. Education Policy Analysis Archives, 11(10). Retrieved June 3, 2009, from http://epaa.asu.edu/epaa/v11n10/.
40. Lord, F.M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Erlbaum.
41. Lynn, R. (1998). In support of the nutrition theory. In U. Neisser (Ed.), The rising curve: Long term gains in IQ and related measures (pp. 207-215). Washington, DC: American Psychological Association.
42. McCaffrey, D.F., Lockwood, J.R., Koretz, D.M., & Hamilton, L.S. (2003). Evaluating value-added models for teacher accountability. Santa Monica, CA: Rand.
43. McGrew, K.S., & Woodcock, R.W. (2001). Woodcock-Johnson III technical manual. Itasca, IL: Riverside.
44. National Center for Education Statistics. (1995). Psychometric report for the NELS:88 base year through second follow-up (NCES Working Paper No. 95-382). Washington, DC: Author.
45. National Center for Education Statistics. (1996). Pursuing excellence: A study of U.S. eighth-grade mathematics and science teaching, learning, curriculum, and achievement in international context. Washington, DC: U.S. Department of Education, National Center for Education Statistics.
46. National Center for Education Statistics. (1997). Pursuing excellence: A study of U.S. fourth-grade mathematics and science achievement in international context. Washington, DC: U.S. Department of Education, National Center for Education Statistics.
47. National Center for Education Statistics. (1998). Pursuing excellence: A study of U.S. twelfth-grade mathematics and science achievement in international context. Washington, DC: U.S. Department of Education, National Center for Education Statistics.
48. National Center for Education Statistics. (2002). Early Childhood Longitudinal Study- Kindergarten Class of 1998-99 (ECLS-K), psychometric report for kindergarten through first grade (NCES Working Paper No. 2002-05). Washington, DC: Author.
49. National Commission on Excellence in Education. (1983). A nation at risk: The imperative for education reform. Washington, DC: Government Printing Office.
50. National Council of Teachers of Mathematics (1989). Curriculum and evaluation standards for school mathematics. Reston, VA: NCTM.
51. National Education Summit on High Schools. (2005). An action agenda for improving America's high schools. Retrieved July 16, 2008, from http://www.nga.org.
52. Oaxaca, R. (1973). Male female wage differentials in urban labor markets. International Economic Review, 14(3), 693-709.
53. O'Neil, H., Jr., Sugrue, B., Abedi, J., Baker, E., & Golan, S. (1992). Experimental studies on motivation and NAEP test performance. Final report. NAEP TRP Task 3a: Experimental motivation. Retrieved from ERIC database. (ED404373).
54. Petersen, N.S., Kolen, M.J., & Hoover, H.D. (1989). Scaling, norming, and equating. In R. L. Linn (Ed.), Educational measurement (3rd ed., pp. 221-262). New York: Macmillan.
55. Powell, A.G., Farrar, E., & Cohen, D.K. (1985). The shopping mall high school. Boston: Houghton Mifflin.
56. Ramey, C.T., & Ramey, S.L. (1998). Early intervention and early experience. American Psychologist, 53(2), 109-120.
57. Raudenbush, S.W., & Bryk, A.S. (2002). Hierarchical linear models: Applications and data analysis (2nd ed.). Newbury Park, CA: Sage.
58. Ravitch, D. (Ed.). (2003). Brookings papers on education policy. Washington, DC: Brookings Institution.
59. Reynolds, A.J., Temple, J.A., Robertson, D.L., & Mann, E.A. (2002). Age 21 cost-benefit analysis of the Title I Chicago Child-Parent Centers. Educational Evaluation and Policy Analysis, 24(4), 267-303.
60. Schaie, K.W. (1965). A general model for the study of developmental change. Psychological Bulletin, 64, 92-107.
61. Schulz, E.M., & Nicewander, W.A. (1997). Grade equivalent and IRT representations of growth. Journal of Educational Measurement, 34, 315-331.
62. Seltzer, M.H., Frank, K.A., & Bryk, A.S. (1994). The metric matters: The sensitivity of conclusions concerning growth in student achievement to choice of metric. Educational Evaluation and Policy Analysis, 16(1), 41-49.
63. Singer, J.D., & Willett, J.B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York: Oxford University Press.
64. Sizer, T. (1992). Horace's school: Redesigning the American high school. Boston: Houghton Mifflin.
65. Stevenson, H.W., & Stigler, J.W. (1992). The learning gap: Why our schools are failing and what we can learn from Japanese and Chinese education. New York: Summit Books.
66. Thurstone, L.L. (1928). The absolute zero in intelligence measurement. Psychological Review, 35(3), 175-197.
67. Uttal, D.H., Lummis, M., & Stevenson, H.W. (1988). Low and high mathematics achievement in Japanese, Chinese, and American elementary-school children. Developmental Psychology, 24(3), 335-342.
68. Walston, J., & West, J. (2004). Full-day and half-day kindergarten in the United States (NCES 2003-028). Washington, DC: Government Printing Office.
69. Wang, J., & Lin, E. (2005). Comparative studies on U.S. and Chinese mathematics learning and the implications for standards-based mathematics teaching reform. Educational Researcher, 34(5), 3-13.
70. Yen, W.M. (1986). The choice of scale for educational measurement: An IRT perspective. Journal of Educational Measurement, 23, 299-325.
71. Yoshikawa, H., & Hsueh, J. (2001). Child development and public policy: Toward a dynamic systems perspective. Child Development, 72, 1887-1903.