MNA completes a statistical design/ methodology report to explain the process of case matching in a quasi-experimental design (QED) for its DOL-funded TAACCCT grants. Using the process of genetic matching, a method of multivariate matching that uses an evolutionary search algorithm, the report explains the processes and procedures that greatly improve covariate balances.
Kavita Mittapalli, Ph.D., is the CEO of MN Associates, Inc. She brings over 18 years of experience in conducting research and evaluation for various programs and initiatives. She started MNA while in grad school at George Mason University (VA). An agriculture graduate turned applied sociologist and a mixed methodologist by training, Kavita brings her extensive qualitative and quantitative research skills to the evaluation work she does.