Dr. Mariola Moeyaert obtained her Ph.D. in Educational Statistics in 2014 from the University of Leuven (Belgium) and worked as a Postdoctoral fellow at the Center of Advanced Study in Education at the City University of New York. She joined the faculty of Educational Psychology and Methodology in the Fall of 2015.
Her major research interests and publications are in the field of multilevel analysis, meta-analysis, large-scale data analysis, and interrupted time series. She has (co)authored approximately 50 international publications, for instance in Psychological Methods, Multivariate Behavior Research, Behavior Research Methods, Journal of School Psychology, and School Psychology Quarterly, reporting about developments in Educational research methodology (including several extensive simulation studies) and about applications of statistical models to educational data.
Dr. Moeyaert obtained the 2016 Anastasi Dissertation Award Division 5 of the American Psychological Association (innovative quantitative research methods). She is currently conducting research as PI on an early career grant awarded by the Institute of Education Sciences (Grant # R305D190022: “Assessing Generalizability and Variability of Single-Case Design Effect Sizes Using Multilevel Modeling Including Moderators”) and she completed another grant as co-PI, also sponsored by IES (Grant # R305D15000703: ‘Multilevel modeling of single-subject experimental data: Handling data and design complexities’).