education sciences and professional programs
Dr. Cody Ding is a professor of measurement and data science in Education Sciences and Professional Programs at University of Missouri–St. Louis. His research interests relevant to geospatial include study of spatial model of psychosocial adaptation using multidimensional scaling.
With expertise in quantitative research design, in particular experimental design and survey research, he focuses on multidimensional scaling, data visualization and multilevel modeling. Psychometric expertise includes item response theory and multidimensional scaling applied to measurement and evaluation research. Ding has been actively involving in research on multidimensional scaling as latent growth model and cognitive measurement model in education and psychological assessment. His research interests include exploratory latent variable analysis via multidimensional scaling, applications of Item Response Theory and Structural Equation Modeling in studying psychosocial adaptation of adolescents and young adults. He is also interested in big data analysis within the context of evaluation and assessment.
Ding has been conducting substantive research regarding the effects of social experiences, particularly negative ones, on cognition/attention, which may lead to psychological distress. The research also includes dynamic interaction between teaching and learning. The research is carried out based on data from questionnaire, behavioral experiments and neuroscience studies. He has provided high-level consulting services to quantitative researchers in the social and behavioral sciences, including several evaluation grants that investigate the program effectiveness on student learning.