To link to the “Top 15″ suggested research articles, click here. To link to all suggested research articles published in AERA journals, click here. To link to all suggested research articles, books, etc., click here.

1. American Educational Research Association (AERA) Council. (2015). AERA statement on use of value-added models (VAM) for the evaluation of educators and educator preparation programs. Educational Researcher, X(Y),1-5. doi:10.3102/0013189X15618385
2. American Statistical Association (2014). ASA statement on using value-added models for educational assessment. Alexandria, VA.
3. Amrein-Beardsley, A. (2008). Methodological concerns about the Education Value-Added Assessment System (EVAAS). Educational Researcher, 37(2), 65-75. doi: 10.3102/0013189X08316420.
4. Amrein-Beardsley, A., & Collins, C. (2012). The SAS Education Value-Added Assessment System (SAS® EVAAS®) in the Houston Independent School District (HISD): Intended and unintended consequences. Education Policy Analysis Archives, 20(12), 1-36.
5. Baker, E. L., Barton, P. E., Darling-Hammond, L., Haertel, E., Ladd, H. F., Linn, R. L., Ravitch, D., Rothstein, R., Shavelson, R. J., & Shepard, L. A. (2010). Problems with the use of student test scores to evaluate teachers. Washington, D.C.: Economic Policy Institute.
6. Baker, B. D., Oluwole, J. O., & Green, P. C. (2013). The legal consequences of mandating high stakes decisions based on low quality information: Teacher evaluation in the Race-to-the-Top era. Education Policy Analysis Archives, 21(5), 1-71.
7. Berliner, D. C. (2014). Exogenous variables and value-added assessments: A fatal flaw. Teachers College Record, 116(1).
8. Blazar, D., Litke, E., & Barmore, J. (2016). What does it mean to be ranked a ‘‘high’’ or ‘‘low’’ value-added teacher? Observing differences in instructional quality across districts. American Educational Research Journal, 53(2), 324–359.  doi:10.3102/0002831216630407
9. Briggs, D. & Domingue, B. (2011). Due diligence and the evaluation of teachers: A review of the value-added analysis underlying the effectiveness rankings of Los Angeles Unified School District Teachers by the Los Angeles Times. Boulder, CO: National Education Policy Center.
10. Corcoran, S. P. (2010). Can teachers be evaluated by their students’ test scores? Should they be? The use of value-added measures of teacher effectiveness in policy and practice. Providence, RI: Annenberg Institute for School Reform.
11. Darling-Hammond, L., Amrein-Beardsley, A., Haertel, E., & Rothstein, J. (2012). Evaluating teacher evaluation. Phi Delta Kappan, 93(6), 8-15.
12. Fryer, R. G. (2013). Teacher incentives and student achievement: Evidence from New York City Public Schools. Journal of Labor Economics, 31(2), 373-407.
13. Gabriel, R. & Lester, J. N. (2013). Sentinels guarding the grail: Value-added measurement and the quest for education reform. Education Policy Analysis Archives, 21(9), 1-30.
14. Glass, G. V. (1990). Using student test scores to evaluate teachers. In Jason Millman & Linda Darling-Hammond (Eds.), The new handbook of teacher evaluation: Assessing elementary and secondary school teachers (pp. 229-240). Newbury Park, CA: SAGE Publications.
15. Haertel, E. H. (2013). Reliability and validity of inferences about teachers based on student test scores. Princeton, NJ: Education Testing Service.
16. Hill, H. C., Kapitula, L., & Umland, K. (2011). A validity argument approach to evaluating teacher value-added scores. American Educational Research Journal, 48(3), 794-831. doi:10.3102/0002831210387916
17. Jackson, C. K. (2012). Teacher quality at the high-school level: The importance of accounting for tracks. Cambridge, MA: The National Bureau of Economic Research.
18. Kennedy, M. M. (2010). Attribution error and the quest for teacher quality. Educational Researcher, 39(8), 591-598. doi:10.3102/0013189X10390804
19. Newton, X., Darling-Hammond, L., Haertel, E., & Thomas, E. (2010). Value-added modeling of teacher effectiveness: An exploration of stability across models and contexts. Educational Policy Analysis Archives, 18(23), 1-27.
20. Papay, J. P. (2010). Different tests, different answers: The stability of teacher value-added estimates across outcome measures. American Educational Research Journal, 48(1), 163-193. doi:10.3102/0002831210362589
21. Paufler, N. A. & Amrein-Beardsley, A. (2014). The random assignment of students into elementary classrooms: Implications for value-added analyses and interpretations. American Educational Research Journal, 51(2), 328-362. doi: 10.3102/0002831213508299
22. Polikoff, M. S., & Porter, A. C. (2014). Instructional alignment as a measure of teaching quality. Education Evaluation and Policy Analysis. doi:10.3102/0162373714531851
23. Reardon, S. F., & Raudenbush, S. W. (2009). Assumptions of value-added models for estimating school effects. Education Finance and Policy, 4(4), 492-519. doi:10.1162/edfp.2009.4.4.492
24. Rothstein, J. (2009). Student sorting and bias in value-added estimation: Selection on observables and unobservables. Education Finance and Policy, 4(4), 537-571. doi: http://dx.doi.org/10.1162/edfp.2009.4.4.537
25. Schochet, P. Z., & Chiang, H. S. (2013). What are error rates for classifying teacher and school performance using value-added models? Journal of Educational and Behavioral Statistics, 38(2), 142-171. doi:10.3102/1076998611432174