J. R. Lockwood

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Senior Statistician
Pittsburgh Office

Education

Ph.D. and M.S. in statistics, Carnegie Mellon University; B.A. in environmental science and policy, Duke University

Overview

Biography

J.R. Lockwood is a senior statistician at the RAND Corporation, where he has worked on a variety of quantitative analyses of education, environmental, and health policy problems. Lockwood specializes in longitudinal modeling of student achievement, value-added models for estimating teacher effects, relationships between teaching practices and student achievement, and experimental and quasi-experimental methods in educational evaluation. His methodological areas of expertise include hierarchical, longitudinal, and random effects modeling; Bayesian methods; statistical computing; and regression discontinuity analysis. His extensive work with value-added modeling for estimating teacher effects includes several papers on statistical and computational methods and the development of software for implementing complex models with large datasets. Lockwood has led two Institute of Education Sciences projects to develop enhanced models for estimating teacher effects and is currently conducting two randomized trials on teacher pay for performance. Lockwood received his Ph.D. in statistics from Carnegie Mellon University.

Recent Projects

  • Enhanced Value-Added Models for Estimating Teacher Effects
  • National Center for Performance Incentives
  • Understanding Teacher Quality
  • Mosaic II: A Longitudinal Investigation of the Effects of Systemic Reforms on Student Achievement
  • Edison Schools Evaluation

Selected Publications

Lockwood J.R., McCombs J.S. and Marsh J., "Linking Reading Coaches and Student Achievement: Evidence From Florida Middle Schools," Education Evaluation and Policy Analysis, 2010

Lockwood J.R., McCaffrey D.F., Setodji C. and Elliott, M.N., "Smoothing Across Time in Repeated Cross-Section Data," Statistics in Medicine, 2010

Lockwood J.R., and McCaffrey D.F., "Exploring Student-Teacher Interactions in Longitudinal Achievement Data," Education Finance and Policy, 2009

Lockwood J.R., McCaffrey D.F., Mariano L.T., and Setodji C., "Bayesian Methods for Scalable Multivariate Value-Added Assessment," Journal of Educational and Behavioral Statistics, 32(2):125-150, 2007

Lockwood, J.R., and McCaffrey, D.F., "Controlling for Individual Heterogenity in Longitudinal Models, with Applications to Student Achievement," Electronic Journal of Statistics, 1:223-252, 2007

Lockwood JR, McCaffrey DF, Hamilton LS, Stecher BM, Le V and Martinez F., "The Sensitivity of Value-Added Teacher Effect Estimates to Different Mathematics Achievement Measures," Journal of Educational Measurement, 44(1):47-67, 2007

Daniel F. McCaffrey et al., Evaluating Value-Added Models for Teacher Accountability, RAND Corporation (MG-158), 2004

McCaffrey, D., Lockwood, J.R., Koretz, D., Louis, T., and Hamilton, L., "Models for Value-Added Modeling of Teacher Effects," Journal of Educational and Behavioral Statistics, 29(1):67-101, 2004

Publications