Quantitative Solutions for Program Evaluation

My focus is on best methods to establish causal relationships between program operations and outcomes. Using complex statistical models, I address common obstacles to effective program evaluation such as selection bias, measurement error, and attrition bias. I estimate the effects of programs and policies using cutting-edge statistical methods, such as structural equation modeling, multilevel modeling, and propensity score analysis.

I am a member of the program evaluation team of the Lastinger Center for Learning. I have worked in cooperation with researchers from the Center of Education Policy of SRI International to evaluate the outcomes of the school improvement and teacher improvement programs of the Lastinger Center for Learning. I am currently working on analyzing data from millions of student interactions with the Algebra Nation system to identify causal relationships between Algebra Nation use and student scores in Florida’s Algebra I End-of-Course Assessment.