RMC Affiliates Program
The mission of the RMC is to advance the design and conduct of high-quality research in education and human ecology, thus promoting the well-being and development of children, adults, families, communities, and schools. Activities of the RMC focus on strengthening and supporting researchers’ skills, with an emphasis on being inclusive of the rich and varied methodologies used throughout our college. Our RMC affiliates program is structured to encourage faculty, postdocs, and researchers from across the OSU campus to contribute to the ongoing growth of a strong, productive research environment.
RMC Affiliates will receive the following benefits:
- The opportunity to network among a community of scholars engaged in diverse research practices
- Assistance with grant writing and development
- The opportunity to have their scholarly achievements profiled in RMC public communications
- Access to a developing database of successful grants and other extramural applications for use in improving grant-writing techniques
- Invitation to present in the RMC Methodology Leadership Series
- Participation in Methodology Work Groups sponsored through the RMC
Affiliates are encouraged to support the RMC and our community of scholars by providing meaningful contribution to our research community:
- Attend at least one RMC event per year
- Be willing to participate in one or more of the following ways:
- Provide a research talk at an RMC event within three years of becoming an affiliate
- Provide assistance with a consultation
- Review a resource guide in your area of expertise for inclusion on RMC methodology resource pages
- Participate in various stages in the development of our EMUs (EHE Methodology User-guides), which provide comprehensive instructional information on existing and emerging research and statistical methodologies
Who can apply?
Open to interested members of the College of EHE (faculty, postdocs, research scientists) and our colleagues across the OSU research community
How to apply?
|Dr. Ingrid Adams, , Associate Professor of Medical Dietetics & Extension, College of Food, Agricultural and Environmental Sciences.
Dr. Adams’ research interests include (a) Critical thinking (b) The development of evidence-based obesity prevention programs suitable for community outreach, information dissemination, and public health education; and tailoring these programs so that they are culturally appropriate to minority and other audiences and (c ) Health disparity.
|Dr. Eric Anderman, , Chair and Professor of Educational Studies
Dr. Andermans’s interests include Academic motivation; adolescent development; prevention of risky behaviors in adolescent populations; research methods in social science.
|Dr. Rebecca Andridge, Associate Professor, Biostatistics, College of Public Health
Dr. Andridge’s research is focused on imputation methods for missing data, primarily in large-scale probability samples. In particular, she works on methods for imputing survey data when missingness is driven by the missing values themselves (missing not at random). She also is involved in research on statistical issues in group-randomized trials. She collaborates with researchers across campus, including the Institute for Behavioral Medicine Research, the Nisonger Center for Excellence in Developmental Disabilities, and The OSU Comprehensive Cancer Center..
|Dr. Suzanne Bartle-Haring, Professor of Human Development and Family Science, Dept. of Human Science
Dr. Bartle-Haring’s main areas of interest include couple relationships and processes with in them, working largely with clinical samples. She has expertise in dyadic data analysis, multilevel modeling, structural equation modeling, and mixture modeling.
|Dr. Audrey Begun, Professor, College of Social Work
Dr. Begun’s research is focused on substance use and addiction, community reentry following release from incarceration, and batterers’ readiness to change. She is an experienced intervention and translational scientist. Dr. Begun’s methodological expertise includes participant recruitment and retention. She also has experience in psychometric testing.
|Dr. Mollie Blackburn, Professor, Dept. of Teaching and Learning
Dr. Blackburn’s area of expertise is adolescent literacy and language with a particular focus on LGBTQ youth and their ally teachers. She engages in sociocultural and activist ethnographic and qualitative research.
|Dr. David Bloome, EHE Distinguished Professor, Dept. of Teaching and Learning
Dr. Bloome’s research focuses on how people use spoken and written language for learning, teaching, creating social relationships, constructing knowledge, and creating communities, social institutions, and shared histories and futures. The logic-of-inquiry and methodologies he employs in his research are grounded in interactional sociolinguistics, cultural, linguistic, and educational anthropology, literary theories associated with Bakhtin and Volosinov, and studies of literacy as a social process. Methodologically, he employs discourse analysis and ethnographic perspectives in his research.
|Dr. Matt Brock, Assistant Professor, Department of Educational Studies
Dr. Brock’s research discipline is special education for students with severe disabilities. Within this discipline, his research is focused on three interrelated strands: systematic instructional practices, training teachers and paraprofessionals, and school and community inclusion. Dr. Brock has expertise in meta-analysis of experimental studies, and single-case design research. He also has experience with small randomized-controlled trials using growth modeling
|Dr. Richard Bruno, Professor in Human Nutrition, Dept. of Human Sciences
Dr. Bruno’s research is in biomolecular nutrition, focusing on mechanisms regulating the bioavailability of phytochemicals and antioxidants in relation to establishing dietary requirements, and defining the anti-inflammatory mechanisms by which these dietary constituents serve to treat nonalcoholic fatty liver disease and vascular endothelial dysfunction.
|Dr. Alicia Bunger, Assistant Professor, College of Social Work
Dr. Bunger’s research examines strategies for improving coordination and quality care across human service organizations and systems, including how organizations collaborate with one another, the role of knowledge sharing for implementation of evidence-based practices, and how front-line workers coordinate with one another. She addresses her research questions using social network analysis, mixed methods, or other approaches for accommodating small sample sizes often in the context of naturally occurring experiments or system demonstrations.
|Dr. Scottye Cash, Associate Professor, Social Work
Dr. Cash conducts research in child welfare and adolescent mental health and technology. Her statistical analysis skills include multiple regression, structural equation modeling, exploratory factor analysis, logistic regression, and survival analysis. She has used a number of methodologies in her research including surveys, administrative data, case record reviews, content analysis, and grounded theory.
|Dr. Jennifer Cooper, Research Assistant Professor, Dept. of Pediatrics, OSU College of Medicine
Dr. Cooper is clinical epidemiologist and biostatistician with a focus on health services and comparative effectiveness research in pediatric health care. She uses large clinical and administrative databases in her research, and both applies and develops novel methods in statistics and machine learning. Her research involves the combined use of causal inference methods such as propensity score matching and weighting with data-adaptive machine learning methods and methods traditionally used for policy evaluation such as difference-in-difference and interrupted time series models. She also has expertise in generalized linear models, mixed effects models and survival analysis methods.
|Dr. Ana-Paula Correia, Associate Professor, Department of Educational Studies
Dr. Correia’s research program encompasses three interrelated foci: collaborative learning, online learning and teaching, and curriculum development in educational technology. These overlap significantly because they are connected to a common and underlying theme in her research: Learning Design. Methodological expertise: mixed methods, naturalistic inquiry, and factor analysis. Experience in developing measurement instruments, and in exploring the dimensions of psychological constructs.
|Dr. Lin Ding, Associate Professor in Science Education, Dept. of Teaching and Learning
Dr. Ding has extensive experience in discipline-based physics education research, including students’ conceptual learning, problem solving and scientific reasoning, curriculum development and assessment design. His research interests include investigating and assessing student conceptual learning, problem solving, reasoning and epistemologies in physics.
|Dr. Dorinda Gallant, Associate Professor in QREM, Dept. of Educational Studies
Dr. Gallant’s work is in the area of applied measurement in education, with several focal areas including issues of validity; classroom assessment practices; and predictors of students’ academic achievement in mathematics and English language arts.
|Dr. Joe Guada, Associate Professor in Social Work, College of Social Work
Dr. Guada’s areas of interest focus on individuals living with a serious mental illness and how this impacts different aspects of their lives. His career started with a focus on the relationships between people living with schizophrenia and their families and looking at differences in such relationships across ethnic groups. He has studied health disparities for people living with a serious mental illness and models of how to address disparities. His recent interests include the impact that pets might have on the overall health and social functioning of homeless and low-income individuals, many of whom live with a serious mental illness.
|Dr. Cristian Gugiu, Assistant Professor in Educational Studies, QREM program
Dr. Gugiu’s interest is in psychometrics with a particular emphasis on survey development and validation. A secondary, though related area of research, focuses on valid ways of treating ordinal data.
|Dr. Joshua Hawley, Associate Professor Glenn College of Public Policy and College of EHE
Dr. Hawley’s research is focused on workforce and education policy for state and national governments.
|Dr. Susan Jones, Professor in Higher Education and Student Affairs, Dept. of Educational Studies
Much of Dr. Jones’ work is qualitative in nature and she teaches a graduate level qualitative course. In her own research she uses narrative approaches, grounded theory, and case study designs. She has also co-authored a text on qualitative research titled Negotiating the Complexities of Qualitative Research in Higher Education: Fundamental Elements and Issues (now in its 2nd edition, 2014).
|Dr. Laurie Katz, Associate Professor in Early Childhood Education, Dept. of Teaching and Learning
Dr. Katz’s research interests include early childhood teaching education; inclusive practices; narrative structures and styles of young children.
|Dr. Minjung Kim, Assistant Professor, Dept. of Educational Studies
Dr. Kim’s research interests are in quantitative research methods including Structural Equation Modeling (SEM) and Multilevel Modeling (MLM). She is also interested in longitudinal data analysis using latent growth modeling under the SEM framework. Dr. Kim’s current research focuses on evaluating the use of regression mixture models which permit investigation of the potential differential effects of predictors on outcomes. She is also interested in applying these advanced statistical models to empirical data in psychology and education.
|Dr. Alison Koenka, Post-Doctoral Researcher, Dept. of Educational Studies
Dr. Koenka’s research interests currently lie in the area of motivational consequences of feedback delivered to students in academic contexts, especially on assessments. As a complement to her substantive research focus, she is also interested in developing recommendations for using statistical and methodological approaches that are accessible to a broader audience. Methodologically, she is experienced in meta-analysis, ANOVA, regression, multi-level models, and mediation/moderated mediation (i.e., conditional process) analysis. Alison also has experience with handling missing data through both maximum likelihood and multiple imputation procedures, and extensive experience in using large secondary data sets.
|Dr. Weidong Li, Professor in Kinesiology, Dept. of Human Science
Dr. Li’s research focus centers student motivation, weight-related teasing and coping, and lifestyle interventions and its impact on K-12 students’ health and cognition/academic achievement. Li has a dual M.S. degree in statistics, and is a SAS user.
|Dr. Jessica Logan, Assistant Professor, Dept. of Educational Studies
Dr. Logan’s work focuses on research questions relevant to early childhood research, and specifically growth and change in children’s skills within the contexts of their homes and classrooms. Her methodological expertise includes: Research design, randomized control trials and their alternatives, quantile regression, structural equation modeling, factor analysis, latent class analysis, hierarchical linear modeling, latent and multilevel growth modeling.
|Dr. Cazilia Loibl, Associate Professor in Consumer Science, Dept. of Human Sciences
Dr. Loibl’s research interests are in the financial decisions of low-income families, for example regarding saving, debt, food security. She uses standard statistical methods.
|Dr. Leeann Lower, Assistant Professor in Sports Management, Dept. of Human Sciences
Dr. Lower’s primary research interests are in the areas of organizational effectiveness and sport for development. Her scholarship examines the effectiveness of sport programs and mechanisms of participant development within the contexts of collegiate recreational sport and youth sport. Dr. Lower has completed the General Interdisciplinary Specialization in Quantitative Research Methodology at OSU as a former PhD student. Her methodological training has focused on survey design, scale development and testing, univariate/multivariate analyses, and structural equation modeling.
|Dr. Arati Maleku, Assistant Professor, College of Social Work
Dr. Maleku’s research focuses on understanding social determinants of health inequities at the intersection of gender, race/ethnicity, and class in the migration context; and exploring pathways to build community resilience and improve well-being among vulnerable communities in transition. She uses mixed methods research approaches to study population health with particular expertise in Community Based Participatory Research, Community Engaged Research, Intervention Research, Evaluation Engagement, Collective Impact, and Intersectional analysis. Her methodological expertise also includes survey methodology and analysis of large scale datasets, both nationally and internationally.
|Dr. Kathy Malone, Assistant Professor in Science Education, Dept. of Teaching and Learning
Dr. Malone’s research interests include STEM integration pK12; model based reasoning and modeling in science K12 and the integration of the engineering design process in K12. Her expertise is in verbal protocol analysis specifically talk aloud protocols.
|Dr. Lisa Militello, Assistant Professor, College of Nursing
Dr. Militello’s work pairs personalized text messaging with cognitive behavioral science to promote healthy lifestyle choices in families with preschoolers. She believes in a pragmatic approach to support families. Her most recent research pilot tests adaptive treatment strategies using a SMART design within the MOST framework. She also recently concluded a Pokémon GO study to learn more about the user-experience from a family (child-adult) perspective. She hopes to gain insight into motivation, engagement, and relative influence on physical activity, as well as inform mHealth design as it relates to behavior change over time.
|Dr. Leslie Moore, Associate Professor, Dept. of Teaching and Learning
Dr. Moore’s is an applied linguist and a linguistic anthropologist. Her research examines the social and cultural patterning of learning and language development in communities whose members use multiple languages and participate in multiple learning traditions. She currently focus on informal science learning for preschool dual language learners.
|Dr. Rita Pickler, FloAnn Sours Easton Endowed Professor of Child and Adolescent Health, College of Nursing
Dr. Pickler has a broad range of experience from phenomenology and grounded theory, to human factors, to observational, correlational, experimental studies. Her current works include completing data analysis on a randomized control trial testing an intervention for preterm infants, a human factors study of barriers to adherence to a safety protocol in the NICU, analysis of a descriptive qualitative study of transition to home from the NICU, a randomized trial of a nurse home visit following discharge to home, and analysis of biological measures of stress and well-being in mothers of preterm infants.
|Dr. Keeley Pratt, Assistant Professor in Human Development and Family Science, Dept. of Human Sciences
Dr. Pratt’s areas of expertise include mixed methodologies, qualitative interviewing and focus groups, intervention design, and healthcare treatment research.
|Dr. Anna Rhoad Drogalis, Post-Doctoral Researcher, Crane Center for Early Childhood Research and Policy
Dr. Rhoad Drogalis is interested in the social-emotional development of young children – particularly in how home and school contextual factors relate to children’s learning behaviors and problem behaviors. Her areas of methodological expertise include psychometrics, structural equation modeling, and hierarchical linear modeling.
|Molly Schmied, Director, Market Research & Insights, OSU Office of Advancement
Molly Schmied’s specialties include questionnaire development, consumer panel management, brand awareness and omni-channel customer experience. Currently, she manages Ohio State’s Alumni Insights Panel, a virtual community of alumni which gathers real-time insights to inform data-driven decisions while engaging alumni through non-traditional methods of communication. She also has extensive experience with the analysis of large data sets to educate her business partners on long and short-term customer experience trends.
|Dr. David Stein, Associate Professor of Workforce Development and Education, Dept. of Educational Studies
Dr. Stein’s research focus on teaching and learning in networked environments. His methodological expertise and interests include transcript content analysis and qualitative inquiry.
|Dr. Tracey Stuckey-Mickell (aka Dr. Tray), Senior Lecturer in Learning Technologies, Dept. of Educational Studies
Dr. Tray’s research interests include: instructional/learning strategies and cognition, interactive learning technologies, and academic success in at-risk, adolescent/young adult populations. Her methodological expertise is in mixed-methods approaches, grounded theory research and experimental designs. She is very passionate about enhancing rigor in study design. Some selected areas of practical focus include: Instructional design (specifically learner characteristics and instructional methods), and blended/hybrid learning..
|Dr. Ian Wilkinson, Professor of Language and Literacy, Dept. of Teaching and Learning
Dr. Wilkinson’s research interests are learning, teaching, and research methodology related to the study of literacy. Within these areas, he is interested in socio-cognitive and sociocultural views of learning, group and classroom processes, classroom dialogue, discussion, argumentation, and research methods suited to classroom-based inquiry. Much of Dr. Wilkinson’s work is classroom-based and involves the application of different methods of inquiry to address substantive issues in the learning and teaching of literacy. His methodological interests are broad, and include quantitative, qualitative, and mixed methodologies.
|Dr. Jen Wong, Assistant Professor, Dept. of Human Sciences
Dr. Wong’s research program focuses on the impacts of self-reported and biological indicators of stress on the psychological well-being, physical health, and time use of individuals who experience normative and non-normative transitions in midlife and late adulthood with a particular emphasis on family caregivers of individuals with disabilities (e.g., autism spectrum disorder). She has methodological expertise in daily diary designs, longitudinal designs, and secondary data analyses.
|Dr. Susan Yoon, Assistant Professor, College of Social Work
The overarching goal of Dr. Yoon’s research is to promote resilience and well-being in children who have experienced childhood trauma, including child maltreatment and exposure to family violence. Her research focuses on investigating pathways to positive and healthy development among maltreated and violence exposed children, with a particular interest in identifying multi-level protective factors that buffer against early trauma exposure. Dr. Yoon has taught multiple social work courses, including Research Methods in Social Work, both at the undergraduate and graduate level. Her areas of methodological expertise and interests include longitudinal data analysis, structural equation modeling (SEM), growth mixture modeling (GMM), exploratory and confirmatory factor analyses (EFA, CFA), and generalized estimating equations (GEE). She has experience working with SAS, SPSS, and MPlus.
|Dr. Jing Zhang, Senior Research Associate, Dept. of Human Sciences
Dr. Zhang’s research focuses on mechanisms linking contextual risks and behavioral and health outcomes of marginalized youth and families, and the related preventive interventions. In her work, she has gained extensive experience and expertise in modeling longitudinal intervention data.
|Jordan Zivoder, Senior Market Research Analyst, OSU Office of Advancement
Jordan is interested in quantitative methodologies in the social sciences, and more recently in predictive modeling. He has a thorough understanding of survey best practices and programming online surveys using Qualtrics. He has experience using SPSS and R to clean, manipulate, analyze, and visualize large sets of data. Jordan has also used SPSS and R to create predictive models using logistic regression, decision tree, and random forest machine learning algorithms.