Research directions for understanding the relationship of educational resources to educational outcomes

Education Finance in the New Millenium

Volumn , Issue , 2013, Pages 139-155

  Grissmer, David ^a  

^a RAND CORPORATION   (United States)

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EID: 85130817177     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (57)

1. Betts, Julian, & Shkolnik, J. (1999, Summer). Estimated effects of class size on teacher time allocation in middle and high school math classes. Educational Evaluation and Policy Analysis, 20 (2).
2. Boozer, Michael A., Krueger, A., & Wolkon, S. (1992). Race and school quality since Brown v. Board of Education. Washington, DC: Brookings Papers on Economic Activity (Microeconomic) 269-326.
3. Boruch, R. F. (1994). Randomized experiments for planning and evaluation. Thousand Oaks, CA: Sage Publications.
4. Bryk, Anthony S., & Raudenbush, S. (1988, November). Toward a more appropriate conceptualization of research on school effects: A three-level hierarchical linear model. American Journal of Education.
5. Burtless, Gary. (1966). Does money matter? Washington, DC: The Brookings Institution.
6. Coleman, James S., Campbell, Ernest Q., Hobson, Carol J., McPartland, James, Mood, Alexander M., Weinfeld, Frederic D., & York, Robert L. (1966). Equality of educational opportunity. Washington, DC: U.S. Government Printing Office.
7. Cook, Michael, & Evans, William N. (1997). Families or schools? Explaining the convergence in white and black academic performance. Working paper.
8. Digest of Educational Statistics. (1995). National Center for Educational Statistics, NCES 1995-036, Washington, DC: U.S. Department of Education.
9. Ferguson, Ronald F. (1998). Can schools narrow the black-white score gap. In C. Jencks & M. Phillips (Eds.), The black-white test score gap. Washington, DC: The Brookings Institution.
10. Ferguson, Ronald F. (1991). Paying for public education: New evidence on how and why money matters. Harvard Journal on Legislation, 28, 465-497.
11. Ferguson, Ronald F., & Ladd, Helen F. (1996). How and why money matters: An analysis of Alabama schools. In Helen F. Ladd (Ed.), Holding schools accountable. Washington, DC: The Brookings Institution.
12. Finn, Jeremy D., & Achilles, Charles. (1999, Summer). Tennessee's class size study: Findings, implications and misconceptions. Educational Evaluation and Policy Analysis, 20 (2).
13. Finn, Jeremy D., & Achilles, Charles M. (1990, Fall). Answers and questions about class size: A statewide experiment. American Educational Research Journal, 27 (3), 557-577.
14. Greenwald, Rob, Hedges, L. V., and Laine, R. (1996, Fall). The effect of school resources on student achievement. Review of Educational Research, 66 (3), 361-396.
15. Grissmer, David. (forthcoming). The use and misuse of SAT scores. Journal of Psy chology, Law and Public Policy.
16. Grissmer, David W., & Flanagan, Ann. (2000). Moving educational research toward scientific consensus. In David Grissmer & Michael Ross (Eds.), Analytic issues in analytic issues in the assessment ofstudent achievement. Washington, DC: National Center for Educational Statistics, Department of Education.
17. Grissmer, David, Flanagan, A., Kawata, J., & Williamson, S. (2000). Improving student achievement: What do state NAEP scores tell us? Santa Monica CA: RAND (MR-924).
18. Grissmer, David. (1999, Summer). Assessing the evidence on class size: Policy implications and future research agenda. Educational Evaluation and Policy Analysis, Summer, 20 (2).
19. Grissmer, David, Williamson, S., Kirby, S. N., & Berends, M.. (1998a). Exploring the rapid rise in black achievement scores in the United States (1970-1990). In U. Neisser (Ed.), The rising curve: Long-term changes in IQ and related measures. Washington, DC: American Psychological Association.
20. Grissmer, David, Flanagan, A., & Williamson, S. (1998b). Why did black test scores rise rapidly in the 1970s and 1980s? In C. Jencks & M. Phillips (Eds.), The black-white test score gap. Washington, DC: The Brookings Institution.
21. Grissmer, David, Flanagan, A., & Williamson, S. (1998c). Does money matter for minority and disadvantaged students? Assessing the new empirical evidence. In William Fowler (Ed.), Developments in school finance: 1997. Washington, DC: U.S. Department of Education, NCES 98-212.
22. Grissmer, D. W., Kirby, S. N., Berends, M., & Williamson, S. (1994). Student achievement and the changing American family. Santa Monica, CA: RAND.
23. Hanushek, E. A. (1999, Summer). Assessing the empirical evidence on class size reductions from Tennessee and non-experimental research. Educational Evaluation and Policy Analysis, 20 (2).
24. Hanushek, E. A. (1996a). School resources and student performance. In G. Burt less (Ed.), Does money matter? The effect of school resources on student achievement and adult success. Washington, DC: The Brookings Institution.
25. Hanushek, E. A. (1996b). Outcomes, costs and incentives in schools. In Eric Hanushek & Dale Jorgenson (Eds.), Improving America's schools: The role of incentives. Washington DC: National Academy Press.
26. Hanushek, E. A. (1994). Making schools work: Improving performance and controlling costs. Washington, DC: The Brookings Institution.
27. Hanushek, E. A. (1989). The impact of differential expenditures on school performance. Educational Researcher, 18 (4), 45-51.
28. Hanushek, E. A. (1986). The economics of schooling: Production and efficiency in public schools. Journal of Economic Literature, 24, 1141-76.
29. Hanushek, E. A., & Jorgenson, Dale. (1996). Improving America's schools: The role of incentives. Washington, DC: National Academy Press.
30. Hanuskek, E. A., & Rivkin, Steven G. (1997, Winter). Understanding the twentieth-century growth in U.S. school spending. Journal of Human Resources, 32 (1).
31. Hanushek, E. A., Rivkin, Steven G., & Taylor, Lori L. (1996, Fall). Aggregation and the estimated effects of school resources. The Review of Economics and Statistics, 611-627.
32. Hauser, R. M. (1998). Trends in black-white test score differentials: Uses and misuses of NAEP/SAT data. In U. Neisser (Ed.), The rising curve: Long-term changes in IQ and related measures. Washington, DC: American Psychological Association.
33. Heckman, James, Layne-Farrar, A., & Todd, P. (1996). Does measured school quality really matter? In Helen Ladd (Ed.), Does Money Matter? Washington, DC: The Brookings Insitution.
34. Heckman, J. J., & Smith, J. (1995, Spring). Assessing the case for social experiments. Journal of Economic Perspectives, 9 (2).
35. Hedges, Larry V., Laine, Richard D., & Greenwald, Rob. (1994). Does Monday matter: Meta-analysis of studies of the effects of differential school inputs on student outcomes. Educational Researcher, 23, (3) 5-14.
36. Hedges, Larry V., & Nowell, Amy. (1998). Group differences in mental test scores: Mean differences variability, and talent. In C. Jencks & M. Phillips (Eds.), The black-white test score gap. Washington, DC: The Brookings Institution.
37. Krueger, Alan B. (1999a). Experimental estimates of education production functions. Quarterly Journal of Economics, 114, 497-532.
38. Krueger, Alan B. (1999b). An economist view of class size reductions. Mimeo, Princeton University.
39. Krueger, Alan B. (1998, March). Reassessing the view that american schools are broken, Economic Policy Review, 29-43.
40. Ladd, Helen F. (1996a). Introduction. In H. F. Ladd (Ed.), Holding schools accountable. Washington, DC: The Brookings Institution.
41. Ladd, Helen F., ed. (1996b). Holding schools accountable. Washington, DC: The Brookings Institution.
42. Lankford, Hamilton, & Wyckoff, James. (1996). The allocation of resources to special education and regular instruction. In Helen F. Ladd (Ed.), Holding schools accountable. Washington, DC: The Brookings Institution.
43. Manski, C. F. (1996). Learning about treatment effects from experiments with random assignment of treatments. Journal of Human Resources, 31 (4), 709-733.
44. Masten, A. S. (1994). Resilience in individual development: Successful adaptation despite risk and adversity. In M. C. Wang & E. W. Gordon (Eds.), Educational resilience in inner city america: Challenges and prospects. Hillsdale: Lawrence Erbblaum Associates.
45. Meyer, Robert H. (1996). Value-added indicators of school performance. In Eric Hanushek & Dale Jorgenson (Eds.), Improving America's schools: The role of incentives. Washington, DC: National Academy Press.
46. Molnar, Alex et al. (1999, Summer). Estimated achievement and teacher time allocation effects from a quasi-experimental class size reduction in Wisconsin. Educational Evaluation and Policy Analysis, 20 (2).
47. Mosteller, F. (1995). The Tennessee study of class size in the early school grades. The Future of Children, 5 (2), 113-127.
48. Nye, Barbara A., Hedges, Larry, & Konstantopoulos, Spyros. (1999a). The effects of small class size on academic achievement: The results of the Tennessee class size experiment. Manuscript under review, Department of Education, University of Chicago.
49. Nye, Barbara A., Hedges, Larry, & Konstantopoulos, Spyros. (1999b, Summer). The long term effects of small classes: A five-year follow-up of the Tennessee class size experiment. Educational Evaluation and Policy Analysis, 20 (2).
50. Raudenbush, Stephen W. (2000). Synthesizing results from the trial state assessment. In David Grissmer & Michael Ross (Eds.), Analytic issues in the assessment of student achievement. Washington, DC: National Center for Educational Statistics, Department of Education.
51. Rice, Jennifer K. (1999, Summer). Estimated effects of class size on teacher's time allocation in high school mathematics and science courses. Educational Evaluation and Policy Analysis.
52. Rothstein, Richard, & Miles, K. H. (1995). Where's the money gone? Changes in the level and composition of education spending. Washington, DC: Economic Policy Institute.
53. Rutter, M., (Ed.). (1988). Studies in psychosocial risk: The power of longitudinal data. Cambridge, UK: Cambridge University Press.
54. Shkolnik, J., & Betts, J. R. (1998). The effects of class size on teacher time allocation and student achievement. Unpublished manuscript, Department of Economics, University of California-San Diego.
55. Singer, Judith D. (1998, Winter). Using SAS PROC MIXED to fit multilevel models, hierarchical models and individual growth models. Journal of Educational and Behavioral Statistics, 24 (4), 323-355
56. Word, E. R., Johnston, J., and Bain, H. P. (1994). The State of Tennessee's student/teacher achievement ratio (STAR) project: Technical report 1985-1990. Nashville: The Tennessee State Department of Education.
57. Word, E., Johnston, J., & Bain, H. P. (1990). Student teacher achievement ratio (STAR): Tennessee's K-3 class size study. Final summary report 1985-1990. Nashville: Tennessee Department of Education.