معرفی
M.H. Clark, Ph.D., is an Associate Lecturer at the Department of Learning Sciences and Educational Research, College of Community Innovation and Education, University of Central Florida (UCF). She specializes in causal inference, selection bias in non-randomized experiments, and propensity score methods. As a statistical consultant and program evaluator, she teaches graduate courses in statistics and research methods, coordinates the Computing and Statistical Technology Laboratory in Education (CASTLE), and contributes to the UCF Court Health Services and Policy Workgroup. She also collaborates with the Program Evaluation and Educational Research Group.
- Education: Ph.D. in Experimental Psychology (Research Design and Statistics), University of Memphis
Her research focuses on causal inference, propensity score methods, and their applications in education and public health. Recent work examines substance use disorder treatment in judicial systems, program evaluation in educational settings, and behavioral interventions for early childhood education. Her publications span topics like police chief attitudes toward opioid interventions, sedentary behavior reduction in kindergartens, and disparities in overdose reporting.
Clark’s articles demonstrate expertise in propensity score adjustments, program evaluation, and policy analysis. Her collaborations include the UCF Court Health Services and Policy Workgroup and CASTLE, where she provides statistical consultation. She actively presents at the American Evaluation Association conventions.
- Professional Affiliations: Member of the American Evaluation Association
