Project Activities
The two primary model enrichments (1) allowed teacher effects to depend on the latent student parameters, and (2) allowed the probability of students missing testing to depend on the latent student parameters.
People and institutions involved
IES program contact(s)
Products and publications
Journal article, monograph, or newsletter
Lockwood, J.R., and McCaffrey, D.F. (2007). Controlling for Individual Heterogeneity in Longitudinal Models, With Applications to Student Achievement. Electronic Journal of Statistics, 1, 223-252.
Lockwood, J.R., and McCaffrey, D.F. (2009). Exploring Student-Teacher Interactions in Longitudinal Achievement Data. Education Finance and Policy, 4(4), 439-467.
Lockwood, J.R., Mccaffrey, D.F., Hamilton, L.S., Stecher, B., Le, V., and Martinez, J. (2007). The Sensitivity of Value-Added Teacher Effect Estimates to Different Mathematics Achievement Measures. Journal of Educational Measurement, 44(1): 47-67.
Lockwood, J.R., Mccaffrey, D.F., Mariano, L.T., and Setodji, C. (2007). Bayesian Methods for Scalable Multivariate Value-Added Assessment. Journal of Educational and Behavioral Statistics, 32(2): 125-150.
Mariano, L.T., Mccaffrey, D.F., and Lockwood, J.R. (2010). A Model for Teacher Effects From Longitudinal Data Without Assuming Vertical Scaling. Journal of Educational and Behavioral Statistics, 35(3): 253-279.
McCaffrey, D.F., and Lockwood, J.R. (2011). Missing Data in Value-Added Modeling of Teacher Effects. The Annals of Applied Statistics, 773-797.
** This project was submitted to and funded as an Unsolicited application in FY 2006.
Additional project information
Email J.R. Lockwood for additional information: lockwood@rand.org.
Questions about this project?
To answer additional questions about this project or provide feedback, please contact the program officer.