The Quantitative Methodology Center (QMC) is a specialized service area under the College of Education and Human Ecology’s Office of Research, Innovation and Collaboration (ORIC). Our mission is to provide quantitative research data services to administrators, faculty, students, post-doctoral scholars, visiting scholars, and staff of the College of Education and Human Ecology (
The QMC office is located in Room 350, Campbell Hall, at 1787 Neil Avenue, across from Mirror Lake.
Stop in or send us an email at firstname.lastname@example.org.
QMC is focused on quantitative methodology. If you were looking for assistance with qualitative research, please visit QualLab.
Beverly Vandiver, Ph.D.
Director of QMC
Interim Executive Director of the Kirwan Institute for the Study of Race and Ethnicity
Beverly is one of the most prominent scholars in her field. Her research interests include culturally appropriate measurement, scale development and validation; race and gender identity development and multicultural theory, most notably on Black racial identity. She is editor-in-chief of the Journal of Black Psychology and holds fellow status in three divisions of the American Psychological Association: the Society for Counseling Psychology; Quantitative and Qualitative Methods; and the Society for the Psychological Study of Culture, Ethnicity and Race. The latter gave her its 2017 Distinguished Career-Contributions to Research Award. Beverly also has chaired the association’s Committee on Psychological Tests and Assessment and served as its liaison to the official U.S. source for evaluation standards, the Joint Committee on Standards for Educational Evaluation.
Beverly has published and presented widely. She is the lead author and developer of the Cross Racial Identity Scale, identified as a best practice in scale development. Recently, as a Buros-Spencer Scholar with the Buros Center for Testing, she consulted in creating its online Socio-Emotional Learning Assessment Technical Guidebook for selecting assessments for K-12 students. She has served on editorial boards for numerous journals, most recently The Counseling Psychologist.
Before arriving to OSU and QMC, Beverly was a professor in the Department of Counselor Psychology and Counselor Education at Western Michigan University. Prior to that, she was also an associate professor of education specializing in counseling and school psychology at The Pennsylvania State University. While there, she also directed the Africana Research Center.
Brian Timm, Ph.D.
Associate Director of QMC
Brian completed his undergraduate degree at Ohio State University before spending a year as an AmeriCorps College Guide, working with junior high youth in the Columbus City School system. He received an M.A. in Sociology at Bowling Green State University (BGSU) and completed his doctorate at BGSU in Spring 2022. While at BGSU, Brian worked extensively within and outside his department, serving on multiple teams and boards promoting academic and research excellence. Brian has experience and training in quantitative methodologies for both cross-sectional and longitudinal research. As the Associate Director of the QMC, Brian manages the office and collaborates with the team in support of the quantitative research of EHE faculty and students. Brian’s research focuses on a variety of topics, ranging from juvenile delinquency, offending across the life course, peer and romantic relationships, and school punishment.
Susie Mauck, Ph.D.
Research Development Specialist
Susie was a public elementary school teacher before completing her doctorate at OSU in the College of Education and Human Ecology (EHE), Quantitative Research, Evaluation, and Measurement program. She specializes in quantitative methodology and has been supporting the work of the faculty and students in EHE since 2015. Susie manages the quantitative methodology consulting team and supports the QMC office in general. Her research interests center around quantitative measurement and psychometrics.
Xin Feng, Ph.D.
ORIC Faculty Research Fellow
Associate Professor, Department of Human Sciences
Xin’s research centers on the interplay of temperament, emotion regulation, parent-child interaction, and contextual influences (e.g., parental mental health and culture) in the development of adaptive and maladaptive socioemotional functioning throughout childhood. Using advanced longitudinal and observational methods, her research has contributed to the understanding of the risk mechanisms of childhood internalizing symptoms, such as depression and anxiety, as well as the processes of emotional development and adjustment outcomes across normative and at risk populations.
Xin has several ongoing research projects that investigate emotional and cognitive regulation in preschool-age children of depressed and non-depressed mothers. She is particularly interested in examining the intricate relations between cognitive and emotion regulation, the role they play in the development of early emotional and behavioral problems, and how these cognitive and emotional processes may serve as mechanisms that link maternal depression and child adverse outcomes.
Graduate Research Associate
Wu is a third-year Ph.D. student in Higher Education and Student Affairs at Ohio State. She received two M.S. in Electrical Engineering from Nanjing Tech University and The University of Nottingham before working as an electrical engineer. Following that, she completed a M.Ed. in College Student Services Administration from Oregon State University. Her research interests include STEM education, organizational theory and organizational behavior of higher education, and internationalization of higher education, with a personal penchant for both quantitative methods and qualitative methods.
Graduate Research Associate
Josh is a fourth-year Ph.D. student in the Quantitative Research, Evaluation and Measurement program at Ohio State. He previously worked as an evaluation assistant for the food supplement nutrition education program at University of Maryland Extension. His research interests are in applications of quantitative methods using structural equation modelling (SEM) and Multilevel Modeling (MLM). Currently, he is interested in measurement models (EFA & CFA) and growth modelling.