Measurement, Evaluation and Assessment
Ph.D., Statistics, Northwestern University, 2008
M.S., Applied Mathematics and Statistics, Stony Brook University, 2003
B.A., Philosophy, Haverford College, 1996
Areas of Expertise:
Optimal Design of Quantitative Educational Research
Causal Inference in Statistics
Power Analysis and Sample Size Determination
Dr. Chris Rhoads received his Ph.D. in Statistics from Northwestern University in 2008. From 2008-2011 he was an Institute of Education Sciences postdoctoral fellow in policy research at the Institute of Policy Research at Northwestern University, under the mentorship Dr. Larry Hedges. His research interests focus on methods for improving causal inference in educational research, particularly in the areas of experimental design and the analysis of multi-level data structures. Rhoads’ current work involves:
- exploring the implications of “contamination” of experimental interventions for the design and analysis of experiments with clustering
- using prior information about the correlation structure to improve power and precision in experiments with clustering
- determining optimal experimental designs for regression discontinuity studies
- exploring uses of implementation fidelity measures to improve learning from field experiments in education
- Understanding connections between different effect size measures in multi-level contexts.
Currently Funded Research Projects
2012-2017. Co-Investigator: Evaluation Methodology and Statistics. Grant to study, develop and disseminate a model of Intensive Supportive Housing for Families. Children’s Bureau, Administration for Children, Youth and Families (ACF), U.S. Department of Health and Human Services ($5 million to CT Dept of Children and Families, $1.1 million to UConn PI: Anne Farrell).
2013-2017. Co-Investigator: Methodology. Developing STEM Workforce Skills and Dispositions through the GlobalEd 2 Project. Institute of Education Science, Educational Technology competition ($3.5 million, PI: Scott Brown).
2014-2016. Co-Principal Investigator. National Center for Research on Gifted Education. U.S. Dept. of Education. ($2 million, PI: Del Siegle).
2016-2018. Principal Investigator. Evaluation of the MathBrainius software. National Science Foundation ($730,000 to Mgenuity; $68,000 to UConn).
Selected Recent Publications:
Rhoads, C. (2016). The Implications of Contamination for Educational Experiments with Two Levels of Nesting. Journal of Research on Educational Effectiveness, 9(4), 531-555.
Louie, J., Rhoads, C, and Mark, J. (2016). Challenges when using the Regression Discontinuity Design in educational evaluations: Lessons from the Transition to Algebra study. American Journal of Evaluation, 37(3), 381-407.
Kennedy, C., Rhoads, C. and Leu, D. (2016). The new literacies of online research and comprehension: A Performance Based Assessment using One-to-One Laptops in Two States. Computers and Education, 100, 141-161
Rhoads, C. and Dye, C. (2016). Optimal Design for Two Level Random Assignment and Regression Discontinuity Studies. Journal of Experimental Education, 84(3), 421-448.
Rhoads, C. (2014) Under what circumstances does external knowledge about the correlation structure improve power in cluster randomized designs? Journal of Research on Educational Effectiveness, 7(2), 205-224.
Hedges, L.V. and Rhoads, C. (2011). Correcting an Analysis of Variance for Clustering. British Journal of Mathematical and Statistical Psychology, 64(1), 20-37.
Rhoads, C. (2011) The Implications of Contamination for Experimental Design in Education Research. Journal of Educational and Behavioral Statistics,36(1), 76-104.
Hedges, Larry and Rhoads, Christopher (2009). Statistical Power Analysis in Education Research (NCSER 2010-3006). Washington, DC: National Center for Special Education Research, Institute of Education Sciences, U.S. Department of Education.
American Educational Research Association
|Phone||860 486 3321|
|Mailing Address||Unit 3064|
|Office Location||Gentry 337|