Measuring teacher quality in practice

Measurement Issues and Assessment for Teaching Quality

Volumn , Issue , 2009, Pages 80-98

  Ball, Deborah Loewenberg ^a   Payne, William H ^a   Hill, Heather C ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b HARVARD GRADUATE SCHOOL OF EDUCATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84949808919     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4135/9781483329857.n6     Document Type: Chapter

References (29)

1. Bacolod, M. (2007). Do alternative opportunities matter? The role of female labor markets in the decline of teacher quality, 1960-1990. Review of Economics and Statistics, 89, 737-751. doi:10.1016/S0094-1190(03)00004-4 http://dx.doi.org/10.1016/S0094-1190%2803%2900004-4
2. Borko, H., Stecher, B., Alonzo, A. A., Moncure, S., & McClam, S. (2005). Artifact packages for characterizing classroom practice: A pilot study. Educational Assessment, 10, 73-104. doi:10.1207/s15326977ea1002_1 http://dx.doi.org/10.1207/s15326977ea1002_1
3. Clotfelter, C., Ladd, H. F., & Vigdor, J. (2004). Teacher quality and minority achievement gaps. Durham, NC: Terry Sanford Institute of Public Policy.
4. Corcoran, S. P., Evans, W. N., & Schwab, R. M. (2004). Women, the labor market, and the declining relative quality of teachers. Journal of Policy Analysis and Management, 23, 449-470. doi:10.1002/pam.20021 http://dx.doi.org/10.1002/pam.20021
5. Dolton, P., & van der Klaauw, W. (1995). Leaving teaching in the UK: A duration analysis. The Economic Journal, 105, 431-444. doi:10.2307/2235502 http://dx.doi.org/10.2307/2235502
6. Feinman-Nemser, S. (2003). What new teachers need to learn. Educational Leadership 60(8), 25-29.
7. Ferguson, R. F. (1991). Paying for public education: New evidence on how and why money matters. Harvard Journal on Legislation, 28, 458-498.
8. Goldhaber, D. D., & Brewer, D. J. (1997). Evaluating the effect of teacher degree level on educational performance. In W. J.Fowler (Ed.), Developments in school finance, 1996 (pp. 197-210). Washington, DC: National Center for Education Statistics.
9. Goldhaber, D. D., Brewer, D. J., & Anderson, D. J. (2000). A three-way error components analysis of educational productivity. Education Economics, 7, 199-208. doi:10.1080/09645299900000018 http://dx.doi.org/10.1080/09645299900000018
10. Goldhaber, D. D., DeArmond, M., Lui, A., & Player, D. (2007). Returns to skill and teacher wage premiums: What can we learn by comparing the teacher and private sector labor markets? (Working Paper 8). Seattle, WA: School Finance Redesign Project.
11. Harbison, R. W., & Hanushek, E. A. (1992). Educational performance for the poor: Lessons from rural northeast Brazil. Oxford, UK: Oxford University Press.
12. Hill, H. C. (2007). Mathematical knowledge of middle school teachers: Implications for the No Child Left Behind policy initiative. Educational Evaluation and Policy Analysis, 29, 95-114. doi:10.3102/0162373707301711 http://dx.doi.org/10.3102/0162373707301711
13. Hill, H. C., & Ball, D. L. (2004). Learning mathematics for teaching: Results from California's Mathematics Professional Development Institutes. Journal for Research in Mathematics Education, 35, 330-351. doi:10.2307/30034819 http://dx.doi.org/10.2307/30034819
14. Hill, H. C., Ball, D. L., Blunk, M., Goffney, I. M., & Rowan, B. (2007). Validating the ecological assumption: The relationship of measure scores to classroom teaching and student learning. Measurement: Interdisciplinary Research and Perspective, 5, 107-117. doi:10.1080/15366360701487138 http://dx.doi.org/10.1080/15366360701487138
15. Hill, H. C., Blunk, M., Charalambous, C. Y., Lewis, J., Phelps, G. C., Sleep, L., et al. (in press). Mathematical knowledge for teaching and the mathematical quality of instruction: An exploratory study. Cognition and Instruction.
16. Hill, H. C., Dean, C., & Goffney, I. M. (2007). Assessing elemental and structural validity: Data from teachers, non-teachers, and mathematicians. Measurement: Interdisciplinary Research and Perspectives, 5, 81-92. doi:10.1080/15366360701486999 http://dx.doi.org/10.1080/15366360701486999
17. Hill, H. C., Rowan, B., & Ball, D. L. (2005). Effects of teachers' mathematical knowledge for teaching on student achievement. American Educational Research Journal, 42, 371-406. doi:10.3102/00028312042002371 http://dx.doi.org/10.3102/00028312042002371
18. Hill, H. C., & Schilling, S. G. (in press). Evaluating value-added models: A measurement perspective. Educational Researcher.
19. Ingersoll, R. M., & Smith, T. M. (2003). The wrong solution to the teacher shortage. Educational Leadership, 60(8), 30-33.
20. Kane, T. J., Rockoff, J. E., & Staiger, D. O. (2006). What does certification tell us about teacher effectiveness? Evidence from New York City (NBER Working Paper No. 12155). Cambridge, MA: National Bureau of Economic Research.
21. Kimball, S. M., White, B., Milanowski, A. T., & Borman, G. (2004). Examining the relationship between teacher evaluation and student assessment results in Washoe County. Peabody Journal of Education, 79(4), 54-78. doi:10.1207/s15327930pje7904_4 http://dx.doi.org/10.1207/s15327930pje7904_4
22. Kupermintz, H. (2003). Teacher effects and teacher effectiveness: A validity investigation of the Tennessee value-added assessment system. Educational Evaluation and Policy Analysis, 25, 287-298. doi:10.3102/01623737025003287 http://dx.doi.org/10.3102/01623737025003287
23. Loeb, S., & Reininger, M. (2004). Public policy and teacher labor markets: What we know and why it matters. East Lansing: Michigan State University, Education Policy Center.
24. McCaffrey, D. F., Lockwood, J. R., Koretz, D., & Hamilton, L. S. (2004). Evaluating value-added models for teacher accountability. Santa Monica, CA: RAND.
25. Mullens, J. E., Murnane, R. J., & Willett, J. B. (1996). The contribution of training and subject matter knowledge to teaching effectiveness: A multilevel analysis of longitudinal evidence from Belize. Comparative Education Review, 40, 139-157. doi:10.1086/447369 http://dx.doi.org/10.1086/447369
26. Nye, B., Konstantopoulos, S., & Hedges, L. V. (2004). How large are teacher effects? Educational Evaluation and Policy Analysis, 26, 237-257. doi:10.3102/01623737026003237 http://dx.doi.org/10.3102/01623737026003237
27. Raudenbush, S. W. (2004). What are value-added models estimating and what does it mean for statistical practice? Journal of Educational and Behavioral Statistics, 29, 121-129. doi:10.3102/10769986029001121 http://dx.doi.org/10.3102/10769986029001121
28. Rowan, B., Chiang, F., & Miller, R. J. (1997). Using research on employees' performance to study the effects of teachers on students' achievement. Sociology of Education, 70, 256-284. doi:10.2307/2673267 http://dx.doi.org/10.2307/2673267
29. 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. doi:10.1111/1467-9620.00212 http://dx.doi.org/10.1111/1467-9620.00212