Peter Steiner

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EDUCATIONAL PSYCHOLOGY
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Peter Steiner
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Peter Steiner


Educational Psychology (EdPsych)

1061 Educational Sciences  binoculars icon
1025 West Johnson Street
Madison, WI 53706
Office: 608/262-0842
Fax: 608/262-0843

psteiner@wisc.edu
Curriculum Vitae

Education

2005 - Dr. (PhD), Statistics
University of Vienna
Vienna, Austria

2000 - Mag. (MS), Statistics
University of Vienna
Vienna, Austria

1997 - Mag. (MS), Economics
Vienna University of Economics and Business Administration
Vienna, Austria


 

 

Teaching Interests

Experimental and quasi-experimental designs for causal inference, parametric and nonparametric regression, computational statistics

Scheduled Teaching

  • Fall 2012 - Topics in Regression Analysis
    Course Prefix: 315, Course Number: 711, Section: 2, Maximum Credit Hours: 3, Course Delivery Mode: Seminar
     
  • Spring 2012 - Design & Analysis of Quasi-Experiments for Causal Inference
    Course Prefix: 315, Course Number: 711, Section: 4, Maximum Credit Hours: 3, Course Delivery Mode: Seminar
    Course Syllabus
     
  • Fall 2011 - Topics in Regression Analysis
    Course Prefix: 315, Course Number: 711, Section: 3, Maximum Credit Hours: 3, Course Delivery Mode: Seminar
    Course Syllabus
     
  • Spring 2011 - Design & Analysis of Quasi-Experiments for Causal Inference
    Course Prefix: 315, Course Number: 711, Section: 8, Maximum Credit Hours: 3, Course Delivery Mode: Seminar
     
  • Fall 2010 - Topics in Regression Analysis
    Course Prefix: 315, Course Number: 711, Section: 3, Maximum Credit Hours: 3, Course Delivery Mode: Seminar
     

Research Interests

causal inference, quasi-experimental designs, experimental designs, regression discontinuity designs, interrupted time series analysis, non-equivalent control group designs (propensity score matching), factorial survey / vignette experiments

Publications

  • Shadish, W.R., Galindo, R., Wong, V.C., Steiner, P.M., & Cook, T.D. (2011). A randomized experiment comparing random to cutoff-based assignment. Psychological Methods, 16(2), 179-191.
  • Steiner, P.M., Cook, T.D., & Shadish, W.R. (2011). On the importance reliable covariate measurement in selection bias adjustments using propensity scores. Journal of Educational and Behavioral Statistics, 36(2), 213-236.
  • Steiner, P.M. (2011). Propensity score methods for causal inference: On the relative importance of covariate Selection, reliable measurement, and choice of propensity score technique. AlmaLaurea Working Paper, ISSN 2239-9453.
    Online Publication/Abstract
  • Cook, T.D., & Steiner, P.M. (2010). Case matching and the reduction of selection bias in quasi-experiments: The relative importance of the pretest as a covariate, unreliable measurement and mode of data analysis. Psychological Methods, 15(1), 56-68.
  • Atzmüller, C., & Steiner, P.M. (2010). Experimental vignette studies in survey research. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 6(3), 128-138.
  • Steiner, P.M., Cook, T.D., Shadish, W.R., & Clark, M.H. (2010). The importance of covariate selection in controlling for selection bias in observational studies. Psychological Methods, 15(3), 250-267.
  • Cook, T.D., Steiner, P.M., & Pohl, S. (2009). Assessing how bias reduction is influenced by covariate choice, unreliability and data analytic mode: An analysis of different kinds of within-study comparisons in different substantive domains. Multivariate Behavioral Research, 44, 828-847.
  • Pohl, S., Steiner, P.M., Eisermann, J., Soellner, R., & Cook, T.D. (2009). Unbiased causal inference from an observational study: Results of a within-study comparison. Education Evaluation and Policy Analysis, 31(4), 463-479.
  • Shadish, W.R., Clark, M.H., & Steiner, P.M. (2008). Can nonrandomized experiments yield accurate answers? A randomized experiment comparing random to nonrandom assignment (with comments by Little/Long/Lin, Hill, and Rubin, and a rejoinder). Journal of the American Statistical Association, 103, 1334-1356.
  • Steiner, P.M., & Hudec, M. (2007). Classification of large data sets with mixture models via sufficient EM. Computational Statistics & Data Analysis, 51, 5416-5428.
  • Bock-Schappelwein, J., Huber, P., Huemer, U., Mahringer, H., Lassingg, L., & Steiner, P.M. (2007). Prognose des Arbeitskräfteangebots in Oberösterreich bis 2010 [Forcast of Labor supply for upper Austria 2010]. WISO, 30(2).
  • Wong, V.C., Steiner, P.M., & Cook, T.D. (in press). Analyzing regression-discontinuity designs with multiple assignment variables: A comparative study of four estimation methods. Journal of Educational and Behavioral Statistics.
  • Steiner, P.M., & Cook, D.L. (in press). Matching and Propensity Scores. The Oxford Handbook of Quantitative Methods.
  • Wong, V.C., Wing, C., Steiner, P.M., Wong, M., & Cook, T.D. (in press). Research Designs for Program Evaluation. Handbook of Psychology.

Presentations

  • Atzmüller, C., & Steiner, P.M. (2011, July 22). Measuring the Perception of Gender Income Gaps Using a Vignette Experiment, 4th Conference of the European Survey Research Association (ESRA), Lausanne (Switzerland).
  • Steiner, P.M. (2011, July 22). Propensity Score Methods for Causal Inference: The Relative Importance of Covariate Selection, Reliable Measurement, and Choice of Analytic Technique, 4th Conference of the European Survey Research Association (ESRA), Lausanne (Switzerland).
  • Steiner, P.M. (2011, March 11). Propensity Score Methods for Causal Inference: On the Relative Importance of Covariate Selection, Reliable Measurement, and Choice of Propensity Score Technique, Invited presentation at the International Conference on Human Capital and Employment in the European and Mediterranean Area, Bologna (Italy).
  • Steiner, P.M. (2011, March 5). Matching Strategies for Observational Data with Multilevel Structure, Spring Conference of the Society for Research on Educational Effectiveness, Society for Research on Educational Effectiveness, Washington DC.
  • Steiner, P.M. (2010, November 6). Can Comparison Group Designs Replicate Experimental Impact Estimates?, Invited discussion at the APPAM Fall Conference 2010, Boston.
  • Steiner, P.M. (2010, August 15). Conditions Under Which Propensity Score Analyses Work in Practice, APA Anual Convention 2010, San Diego.
  • Steiner, P.M. (2010, July 16). Challenges and Stratagies in Estimating Propensity Scores in Educational Research, Invited focus presentation at the symposium on Causality, Jena.
  • Steiner, P.M. (2009, December 9). The Relative Importance of Covariate Selection, Reliable Measurement, and Choice of Propensity Score Technique, University of Wisconsin, Department of Educational Psychology, Madison.
  • Steiner, P.M. (2009, October 29). Propensity Score Methods for Causal Inference: The Relative Importance of Covariate Selection, Reliable Measurement, and Choice of Propensity Score Technique, Invited talk at Northwestern University, Psychology Department.
  • Steiner, P.M. (2009, June 3). Are Propensity Score Methods Superior to Regression Analysis in Estimating Causal Effects?, Invited talk at Jena Graduate School in Human Behavior in Social & Economic Change, Jena.
  • Steiner, P.M., Cook, T.D., & Shadish, W.R. (2009, March 3). On the Importance of Reliable Covariate Measurement in Selection Bias Adjustments Using Propensity Scores, Annual Conference of the Society for Research on Educational Effectiveness, Washington D.C.
  • Steiner, P.M. (2008, July 25). Emperically Validated Quasi-Experimental Methods in Evaluation, International Congress of Psychology, Berlin.
  • Steiner, P.M. (2008, July 19). Main Threats to Causal Inference in Observational Studies, Invited discussion at the Symposium on Causality, Jena.
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