Date of Award
4-2013
Degree Name
Doctor of Philosophy
Department
Educational Leadership, Research and Technology
First Advisor
Dr. Brooks Applegate
Second Advisor
Dr. Joseph Kretovics
Third Advisor
Dr. Warren E. Lacefield
Keywords
Monte Carlo simulation, matching, propensity score, exact matching, education, social sciences
Abstract
Often researchers face situations where comparative studies between two or more programs are necessary to make causal inferences for informed policy decision-making. Experimental designs employing randomization provide the strongest evidence for causal inferences. However, many pragmatic and ethical challenges may preclude the use of randomized designs. In such situations, subject matching provides an alternative design approach for conducting causal inference studies. This study examined various design conditions hypothesized to affect matching procedures’ bias recovery ability.
See attachment for full abstract.
Access Setting
Dissertation-Open Access
Recommended Citation
Itang'ata, Mukaria J. J., "A Comparative Study of Exact Versus Propensity Matching Techniques Using Monte Carlo Simulation" (2013). Dissertations. 148.
https://scholarworks.wmich.edu/dissertations/148
Abstract
Included in
Design of Experiments and Sample Surveys Commons, Educational Assessment, Evaluation, and Research Commons