The Research Methodology Center in the College of Education and Human Ecology aims to support faculty, research staff, and students in their research. We are dedicated to advancing methodology and strengthening the skills of faculty and students across a variety of approaches (qualitative, quantitative, and mixed methods). We aim for this support to enhance research productivity and quality across the College.
The RMC offers professional development and research support services designed to advance methodologies to promote well-being and development of children, adults, families, communities, and schools.
Stop by our Center or set up an appointment to learn how we can help you reach your research goals.
Want to get involved? Check out our Faculty Affiliates program.
|Dr. Ann A O’Connell, Director
Dr. O’Connell’s research focuses on the appropriate application of multivariate and multilevel methodologies for education and health intervention research, particularly for analyzing discrete or non-normally distributed outcome variables. Her work has been published in Evaluation and the Health Professions, Journal of Educational Psychology, Women and Health, Measurement and Research in Counseling and Development, MMWR, and the Journal of Modern Applied Statistical Methods.For information about Dr. O’Connell’s work in Ethiopia, please visit her presentation: Teaching, Research, and Service Opportunities in Ethiopia.
|Dr. Sandra J. Reed, Associate Director
Dr. Reed is a 2012 graduate of the Quantitative Research, Evaluation, and Measurement (QREM) program in the College of Education and Human Ecology at The Ohio State University. To date, her research has focused on behavioral measurement. Her current work is examines intervention science, with a specific emphasis on the use of the use of behavioral data analytics to support intervention design, translation, implementation, and evaluation.
|Dr. Natasha Bowen, Associate Director
Dr. Bowen joined the faculty at The Ohio State University in 2015, moving from the University of North Carolina – Chapel Hill, where she taught for 13 years. In addition to her work developing the multi-domain, multiple-source social environmental tool Elementary School Success Profile (ESSP), Dr. Bowen has taught courses in measurement and structural equation modeling, as well as courses for graduates in Social Work. Dr. Bowen has published in journals such as Journal for the Society for Social Work, and is the co-author of Structural Equation Modeling, part of the Pocket Guides to Social Work Research Methods series, published by Oxford University Press. Dr. Bowen’s expertise extends to HLM, latent profile analyses, confirmatory factor analyses, and software including Mplus.
Graduate Research Assistants
Nivedita Bhaktha is a doctoral student in the Quantitative Research, Evaluation and Measurement program in the College of Education and Human Ecology. Nivedita has a Master’s degree in statistics and her research interests are in latent variable modeling, multilevel analysis and generalized linear modeling. She primarily uses R, Stata and SAS for data analysis and is also proficient in LISREL, Mplus and SPSS. She has taught undergraduate and graduate level stat courses. Nivedita likes learning about new quantitative techniques and has a rich experience in interdisciplinary research.
|Meng-Ting Lo is a doctoral student in the Quantitative Research, Evaluation and Measurement program in the College of Education and Human Ecology. Her research interests center around three topics: (a) structural equation modeling; (b) multilevel modeling; (c) Rasch modeling. Particularly, she has strong interest in learning how the advanced statistical models can be applied to various research topics in education, especially related to students’ psychological features, behaviors, academic achievements, and potential risk factors within the context of secondary education and higher education. Meng-Ting is also very interested in applying various psychometric methods to solve measurement problems. She has extensive experience working with Mplus, Winsteps, HLM, SPSS, and SAS.|
|Susie Mauck Susie Mauck received a Bachelor of Science degree in 1977 and is a PhD candidate in Quantitative Research, Evaluation, & Measurement. Currently she is working on the development of an instrument that measures graduate students’ basic statistical knowledge. She has worked extensively with SPSS, MPlus, and HLM as an instructor and researcher. She also has experience with Lisrel and the R programming language. Susie enjoys helping others develop their skills with quantitative methodologies, has read widely, and can help identify available resources that address issues related to quantitative research.|