The persistence of teacher effects in elementary grades

American Educational Research Journal

Volumn 48, Issue 2, 2011, Pages 361-386

  Konstantopoulos, Spyros ^a   Chung, Vicki ^b  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b Long Wing Education Consulting   (United States)

Author keywords

elementary grades; HLM; student achievement; teacher effects

Indexed keywords

EID: 79955106056     PISSN: 00028312     EISSN: None     Source Type: Journal    
DOI: 10.3102/0002831210382888     Document Type: Article

References (39)

1. Ballou, D., Sanders, W., & Wright, P. (2004). Controlling for student background in value-added assessment of teachers. Journal of Educational and Behavioral Statistics, 29, 37-65.
2. Borman, G.D., & Kimball, S.M. (2005). Teacher quality and educational equality: Do teachers with higher standards-based evaluation ratings close student achievement gaps? Elementary School Journal, 106, 3-20.
3. Braun, H. (2005). Value-added modeling: What does due diligence require? In R. Lissitz (Ed.), Value-added models in education: Theory and applications (pp. 19-38). Maple Grove, MN: JAM Press.
4. Brimer, A., Madaus, F.G., Chapman, B., Kallaghan, T., & Wood, R. (1978). Sources of difference in school achievement. Windsor, UK: NFER.
5. Brophy, J. (1986). Teacher influences on student achievement. American Psychologist, 10, 1069-1077.
6. Clotfelter, C.T., Ladd, H.F., & Vidgor, J.L. (2006). Teacher-student matching and the assessment of teacher effectiveness. Journal of Human Resources, 41, 778-820.
7. Clotfelter, C.T., Ladd, H.F., & Vidgor, J.L. (2007). Teacher credentials and student achievement: Longitudinal analysis with student fixed effects. Economics of Education Review, 26, 673-682.
8. Freedman, D.A. (2006). Statistical models for causation. What inferential leverage do they provide? Evaluation Review, 30, 691-713.
9. Gallagher, H.A. (2004). Vaughn Elementary's innovative teacher evaluation system: Are teacher evaluation scores related to growth in student achievement? Peabody Journal of Education, 79, 79-107.
10. Goldhaber, D.D., & Brewer, D.J. (1997). Why don't schools and teachers seem to matter? Assessing the impact of unobservables on educational productivity. Journal of Human Resources, 32, 505-523.
11. Good, T. (1979). Teacher effectiveness in the elementary school. Journal of Teacher Education, 30, 52-64.
12. Good, T., & Brophy, J. (1987). Looking in classrooms. New York, NY: Harper & Row.
13. Good, T., & Grouws, D. (1977). Teaching effects: A process-product study in fourth grade mathematics classrooms. Journal of Teacher Education, 28, 49-54.
14. Greenwald, R., Hedges, L.V., & Laine, R.D. (1996). The effect of school resources on student achievement. Review of Educational Research, 66, 361-396.
15. Hanushek, E.A. (1971). Teacher characteristics and gains in student achievement: Estimation using micro data. American Economic Review, 61, 280-288.
16. Hanushek, E.A. (1986). The economics of schooling: Production and efficiency in public schools. Journal of Economic Literature, 24, 1141-1177.
17. Hanushek, E.A. (1999). Some findings from an independent investigation of the Tennessee STAR experiment and from other investigations of class size effects. Educational Evaluation and Policy Analysis, 21, 143-163.
18. Hedges, L.V., & Nowell, A. (1999). Changes in the Black-White gap in achievement test scores. Sociology of Education, 72, 111-135.
19. Hill, C.J., Bloom, H.S., Black, A.R., & Lipsey, M.W. (2008). Empirical benchmarks for interpreting effect sizes in research. Child Development Perspectives, 2, 172-177.
20. Hong, G., & Raudenbush, S.W. (2008). Causal inference of time-varying instructional treatments. Journal of Educational and Behavioral Statistics, 33, 333-362.
21. Konstantopoulos, S. (2008). Do small classes reduce the achievement gap between low and high achievers? Evidence from Project STAR. Elementary School Journal, 108, 275-291.
22. Krueger, A.B. (1999). Experimental estimates of education production functions. Quarterly Journal of Economics, 114, 497-532.
23. Krueger, A.B. (2003). Economic considerations and class size. Economic Journal, 113, 34-63.
24. McCaffrey, D.F., Lockwood, J.R., Koretz, D., Louis, T.A., & Hamilton, L. (2004). Models for value-added modeling of teacher effects. Journal of Educational and Behavioral Statistics, 29, 67-101.
25. Murnane, R.J., & Phillips, B.R. (1981). What do effective teachers of inner-city children have in common? Social Science Research, 10, 83-100.
26. Nye, B., Hedges, L.V., & Konstantopoulos, S. (1999). The long term effects of small classes: A five-year follow-up of the Tennessee class size experiment. Educational Evaluation and Policy Analysis, 21, 127-142.
27. Nye, B., Hedges, L.V., & Konstantopoulos, S. (2000). Effects of small classes on academic achievement: The results of the Tennessee class size experiment. American Educational Research Journal, 37, 123-151.
28. Nye, B., Konstantopoulos, S., & Hedges, L.V. (2004). How large are teacher effects? Educational Evaluation and Policy Analysis, 26, 237-257.
29. Pedersen, E., Faucher, T.A., & Eaton, W.W. (1978). A new perspective on the effects of first grade teachers on children's subsequent status. Harvard Educational Review, 48, 1-31.
30. Porter, A.C., Smithson, J., Blank, R., & Zeidner, T. (2007). Alignment as a teacher variable. Applied Measurement in Education, 20, 27-51.
31. Raudenbush, S.W. (2004). What are value-added models estimating and what does this imply for statistical practice? Journal of Educational and Behavioral Statistics, 29, 121-129.
32. Raudenbush, S.W., & Bryk, A.S. (2002). Hierarchical linear models. Thousand Oaks, CA: Sage.
33. Raudenbush, S.W., & Wilms, J.D. (1995). The estimation of school effects. Journal of Educational and Behavioral Statistics, 20, 307-335.
34. Rivkin, S.G., Hanushek, E.A., & Kain, J.F. (2005). Teachers, schools, and academic achievement. Econometrica, 73, 417-458.
35. Rowan, B., Correnti, R., & Miller, R.J. (2002). What large scale, survey research tells us about teacher effects on student achievement: Insights from the prospects study of elementary schools. Teachers College Record, 104, 1525-1567.
36. Sanders, W.L., & Rivers, J.C. (1996). Cumulative and residual effects of teachers on future student academic achievement. Knoxville: University of Tennessee, Value-Added Research and Assessment Center.
37. Schmidt, W.H., Houang, R.T., & McKnight, C.C. (2005). Value-added research: Right idea but wrong solution? In R. Lissitz (Ed.), Value-added models in education: Theory and applications (pp. 145-165). Maple Grove, MN: JAM Press.
38. Shadish, W.R., Cook, T.D., & Campbell, D.T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.
39. Walker, D.F., & Schaffarzick, J. (1974). Comparing curricula. Review of Educational Research, 44, 83-111.