2009 R305D090006
Practical Solutions for Missing Data and Imputation
Columbia University
Gelman, Andrew
Jennifer Hill (New York University)
Publications:
Gelman, A. (2011). Induction and Deduction in Bayesian Data Analysis. Rationality, Markets and Morals (RMM), 2, 67-78.
Gelman, A. (2010). Bayesian Statistics Then and Now. Statistical Science, 25(2), 162.
Gelman, A., and Shalizi, C. (2013). Philosophy and The Practice Of Bayesian Statistics. British Journal Of Mathematical and Statistical Psychology, 66(1): 8-38.
Gelman, A., and Unwin, A. (2013). Tradeoffs in Information Graphics. Journal of Computational and Graphical Statistics, 22(1), 45-49.
Gelman, A., and Unwin, A. (2013). Infovis and Statistical Graphics: Different Goals, Different Looks. Journal of Computational and Graphical Statistics, 22(1), 2-28.
Lock, K., and Gelman, A. (2010). Bayesian Combination of State Polls and Election Forecasts. Political Analysis, 18(3), 337-348.
R305D090008
Statistical Properties of Regression Discontinuity Analysis and Comparative Interrupted Time Series Analysis for Estimating Impacts
MDRC
Bloom, Howard
Publications:
Jacob, R. T., Zhu, P., Somers, M. A., and Bloom, H. S. (2012). A Practical Guide to Regression Discontinuity. MDRC.
R305D090009
Using Instrumental Variables Analysis Coupled with Rigorous Multi-Site Impact Studies to Study the Causal Paths by which Educational Interventions Affect Student Outcomes MDRC
Bloom, Howard
Publications:
Bloom, H.S. (2012). Modern Regression Discontinuity Analysis. Journal of Research on Educational Effectiveness 5(1): 43-82.
Bloom, H. S. (2012). Comments: Statistical Analysis for Multisite Trials.Journal of Research on Educational Effectiveness, 5(3), 333-335.
Raudenbush, S. W., Reardon, S. F., and Nomi, T. (2012). Statistical Analysis for Multisite Trials Using Instrumental Variables With Random Coefficients. Journal of Research on Educational Effectiveness, 5(3), 303-332.
R305D090011
Reducing Bias and Improving Efficiency of Estimated Teacher Effects from Value-Added Models
RAND Corporation
Lockwood, J.R.
Daniel McCaffrey
Publications:
Han, B. (2013). Conditional Akaike Information Criterion In The Fay-Herriot Model. Statistical
Methodology, 11: 53-67.
McCaffrey, D.F., and Lockwood, J.R. (2011). Missing Data In Value-Added Modeling Of Teacher
Effects. Annals of Applied Statistics, 5 (2A): 773-797.
R305D090013
Examining the Changes in Methodology that Occur Between the Design and Implementation of Field Trials in Education
Western Michigan University
Spybrook, Jessica
Publications:
Spybrook, J., Puente, A. C., and Lininger, M. (2011). An Examination of the Impact of Changes in Federal Policies on the Landscape of Educational Research in the USA. Effective Education, 3(2), 83-88.
R305D090016
Estimation and Inference in Education Research when Actions by Participants Impact Validity and Availability of Data
RAND Corporation
Engberg, John
Related IES Projects: Determinants of Student Outcomes in an Urban School District: Educational Interventions and Family Choices (R305A070117)
Publications:
Davis, B., Engberg, J., Epple, D.N., Sieg, H., Zimmer, R. (2010). Evaluating The Gifted Program Of An Urban School District Using A Modified Regression Discontinuity Design. National Bureau of Economic Research, Working Paper 16414
Engberg, J., Epple, D., Imbrogno, J., Sieg, H., and Zimmer, R. (in press). Bounding the Treatment Effects of Education Programs That Have Lotteried Admission and Selective Attrition. Journal of Labor Economics.
R305D090019
Hierarchical Linear Modeling Under Multilevel Non-Ignorable Non-Responses with Applications to NAEP Data
University of California, Riverside
Li, Jun
Publications:
R305D090020
Using Imperfect Fidelity Measures to Improve Statistical Inferences about Educational Interventions
Southern Methodist University
Stokes, S. Lynne
Jill Allor, Ian Harris
Publications:
R305D090021
Developing Time-Indexed Effect Size Metrics for K–12 Reading and Math Educational Evaluation
State University of New York, Buffalo
Lee, Jaekyung
Jeremy Finn
Project Website: http://gse.buffalo.edu/faculty/centers/ties
Publications:
R305D090022
Development of Accessible Methodologies and Software in Hierarchical Models with Missing Data
NORC
Raudenbush, Stephen
Yongyin Shin
Related IES Projects: Accessible Methodology and User-Friendly Software for Multivariate Hierarchical Models Given Incomplete Data (R305D130033)
Publications:
Shin, Y. (2012). Do Black Children Benefit More from Small Classes? Multivariate Instrumental Variable Estimators with Ignorable Missing Data. Journal of Educational Behavioral Statistics, 37: 543-574.
Shin, Y. (2013). Efficient Handling of Predictors and Outcomes Having Missing Values. In Rutkowski, L., von Davier, M., and Rutkowski, D. (Eds.), A Handbook of International Large- Scale Assessment Data Analysis, Chapman and Hall.
Shin, Y. and Raudenbush, S.W. (2011). The Causal Effect of Class Size on Academic Performance: Multivariate Instrumental Variable Estimators With Tennessee Class Size Data Missing at Random. Journal of Educational and Behavioral Statistics, 36(2): 154-185.
Shin, Y. and Raudenbush, S.W. (2010). A Latent Cluster-Mean Approach to the Contextual Effects Model With Missing Data. Journal of Educational and Behavioral Statistics, 35(1): 26–53.
R305D090024
Cross-Classified Structural Equations Model: Development of an OpenMX Module and its Application to Multiyear Assessment and Intervention Data in Literacy Research
University of Houston
Mehta, Paras
Related IES Projects: Language and Literacy Abilities in Spanish Language Speaking Children (R305A100272) and The Roles of Instruction and Component Skills in Reading Achievement (R305A120785)
Publications:
Branum-Martin, L. (2013). Multilevel Modeling: Practical Examples to Illustrate a Special Case of SEM. Applied Quantitative Analysis in Education and the Social Sciences. Rutledge.
Mehta, P.D. (2013). nLevel Structural Equation Modeling. Applied Quantitative Analysis in Education and the Social Sciences. Rutledge.
Share with your friends: |
