Academic Work

Curriculum Vitae – Full Listing of Academic Work

Click here to download a copy of Stephen Raudenbush’s CV.

Selected Recent Publications

Raudenbush, S. W., (2018) On Randomized Experimentation in Education: A Commentary on Deaton and
Cartwright in Honor of Fredrick Mosteller, forthcoming in Social Sciences and Medicine. [Download PDF]

Raudenbush, S. W., and Hong, G. (2017). Three Mediation Stories, Three Analytic Strategies. Association for
Psychological Science Observer 
[Download PDF]

Howard S. Bloom, Stephen W. Raudenbush, Michael J. Weiss & Kristin Porter (2017). Using Multisite
Experiments to Study Cross-Site Variation in Treatment Effects: A Hybrid Approach with Fixed
Intercepts and a Random Treatment Coefficient, Journal of Research on Educational Effectiveness,
10(4). Pages 817-842. [Download PDF]

Nomi, T. and Raudenbush, S. W., (2016) Making a Success of “Algebra for All:” the Impact of Extended
Instructional Time and Classroom Peer Skill in Chicago. Educational Evaluation and Policy Analysis,
vol. 38, No 2, pp 431–451. [Download PDF]

Raudenbush, S. W., and Bloom, H. (2015) Learning about and From a Distribution of Program Impacts Using
Multisite Trials. American Journal of Evaluation. 36:475-499, first published Sep 4, 2015 . [Download PDF]

Raudenbush, S. W. and Eschmann, R. D., (2015) Does schooling increase or reduce social inequality?
Annual Review of Sociology, Vol. 41: 443-470. [Download PDF]

Raudenbush, S.W., Reardon, S. and Nomi, T. (2012). Statistical analysis for multi-site trials using instrumental
variables. Journal of Research and Educational Effectiveness. Vol. 5, No. 3, pp 303 – 332. [Download PDF]

Raudenbush, S. W. (2009). Adaptive centering with random effects: An alternative to the fixed effects model
for studying time-varying treatments in school settings. Journal of Education, Finance and Policy.
Vol. 4, No. 4, pp 468 – 491. [Download PDF]

Hong, G., & Raudenbush, S.W. (2008). Causal inference for time-varying instructional treatments. The Journal of
Educational and Behavioral Statistics, 33(3), 333-362. [Download PDF]

Hong, G., & Raudenbush, S. W. (2006). Evaluating kindergarten retention policy: A case study of causal
inference for multi-level observational data. Journal of American Statistical Association, 101(474),901-
910. [Download PDF]

Raudenbush, S.W., Johnson, C., & Sampson, R. J. (2003). A multivariate, multilevel Rasch model for self-reported
criminal behavior. Sociological Methodology, 33(1), 169-211. [Download PDF]

Raudenbush, S.W., & Liu, X. (2001). Effects of Study Duration, Frequency of Observation, and Sample Size on
Power in Studies of Group Differences in Polynomial Change. Psychological Methods, 6(4), 387.401. [Download PDF]

Raudenbush, S.W., & Liu, Xiaofeng. (2000). Statistical power and optimal design for multisite randomized trials.
Psychological Methods, 5(3), 199-213. [Download PDF]

Raudenbush, S.W., Yang, Meng-Li, & Yosef, M. (2000). Maximum likelihood for generalized linear models with
nested random effects via high-order, multivariate Laplace approximation. Journal of Computational
and Graphical Statistics, 9(1), 141-157. [Download PDF]

Raudenbush, S.W., & Sampson, R. (1999). Ecometrics: Toward a science of assessing ecological settings, with
application to the systematic social observations of neighborhoods. Sociological Methodology, 29, 1-41. [Download PDF]

Raudenbush, S.W. (1997). Statistical analysis and optimal design for cluster randomized trials. Psychological
Methods, 2(2), 173-185. 

Raudenbush, S.W., & Willms, J.D. (1995). The estimation of school effects. Journal of Educational and
Behavioral Statistics, 20(4), 307-335. [Download PDF]