| Mariya Shiyko PhD|
Department: Department of Counseling and Applied Educational Psychology
Ph.D., The Graduate Center, City University of New York, 2009 (Educational Psychology, Quantitative Methods)
M.A., The Graduate Center, City University of New York, 2008 (Educational Psychology, Quantitative Methods)
M.A., Smolensk State Pedagogical University, Russia, 2002 (Pedagogy of History & Law)
B.A., Smolensk State Pedagogical University, Russia, 2002 (Pedagogy of History & Law)
Specializations: Quantitative Psychology
Research Interests: My primary research interests are in the area of intensive longitudinal data (ILD) design and analysis. With advances in data-collection technology (e.g. hand-held computers, automated portable devices), more behavioral and social scientists collect data intensively (e.g. through ecological momentary assessments and experience sampling). I am interested in questions related to design of studies employing ecological momentary assessments, including sampling frequency and questionnaire development. In addition, I am interested in developing, validating, and applying statistical models that allow for a full exploration of ILD, including mixed-effects models, mixture models, time-varying effects models, joint models, and varying-effects regression models. I am interested in applying these methods to studies of health-related behaviors, such as smoking, medication adherence, physical activity, etc.
Courses: Fall 2011: 6202 Research, evaluation, & data analysis
Shiyko, M. P., & Ram, N. (in press). Conceptualizing and estimating process speed in studies employing ecological momentary assessment designs: A multilevel variance decomposition approach. Multivariate Behavioral Research.
Shiyko, M. P., Ram, N., & Grimm, K. J. (in press). An Overview of Growth Mixture Modeling: A Simple Nonlinear Application in OpenMx. A book chapter for Handbook of Structural Equation Modeling. Hoyle, R. H. (Ed.)
Shiyko, M. P., Li, Y., & Rindskopf, D. (in press). Poisson growth mixture modeling of intensive longitudinal data: An application to smoking cessation behavior. Structural Equation Modeling.
Tan, X., Shiyko, M. P., Li, R., Li, Y., Dierker, L. (in press). Intensive longitudinal data and the time-varying effects model. Psychological Methods.
DeRose, L. M., Shiyko, M.P., Foster, H., & Brooks-Gunn, J. (2011). Trajectories of developmental change in social skills and behavior problems in girls: Effects of early pubertal timing. Journal of Youth and Adolescence.
Rindskopf, D., & Shiyko, M. (2010). Measures of Dispersion, Skewness, and Kurtosis. In McGaw, B., Baker, E., & Peterson, P. P. (Eds).International Encyclopedia of Education, 3rd Ed. Oxford: Elsevier.
Campo, M., Shiyko, M., & Lichtman, S.W. (2010). Sensitivity and specificity: A review of related statistics and current controversies in physical therapist education. Journal of Physical Therapy Education, 24(3), 69-78.
DuBois, J. M., Boylan, L.S., Shiyko, M., Barr, W.B., Devinsky, O. (2010). Seizure prediction and awareness. Epilepsy & Behavior, 18, 106-109.
Shiyko, M., & Pappas, E. (2009). Validation of preadmission requirements in a doctor of physical therapy program with a large representation of minority students. Journal of Physical Therapy Education, 23(3), 29-36.