Mariola Moeyart

Mariola Moeyaert

Multilevel analysis, meta-analysis, single-case experimental data, Bayesian statistics, bootstrapping, structural equation modeling, longitudinal data analysis, and international comparative research.

The World Within Reach
Mariola Moeyaert, Ph.D.
Assistant Professor
 

School of Education
Department: Educational and Counseling Psychology

Division of Educational Psychology and Methodology
Address:
ED 231
Phone:
518-442-5050

 

Additional Information

Dr. Mariola Moeyaert joined the faculty of Educational Psychology and Methodology in the Fall of 2015. She received her PhD from the Katholieke Universiteit Leuven (KU Leuven) in Belgium and worked as a Postdoctoral fellow at the Center of Advanced Study in Education at the City University of New York. Her major research interests and publications are in the field of multilevel analysis, meta-analysis and single-case experimental data. She is also interested in Bayesian statistics, bootstrapping, structural equation modeling, longitudinal data analysis, and international comparative research. She (co)authored about 20 international publications, in such journals as Psychological Methods, Mutlivariate Behavior Research, Journal of School Psychology, Behavior Research Methods, School Psychology Quarterly, etc., reporting about developments in research methodology (including several extensive simulation studies) and about applications of statistical models on educational data. Currently, she is involved as Co-PI in a research project funded by the Institute of Educational Sciences titled “Multilevel Modeling of single-subject experimental data: Handling data and design complexities”.

Publications

Moeyaert, M., Ugille, M., Ferron, J., Onghena, P., Heyvaert, M, & Van den Noortgate, W. (2015). Estimating intervention effects across different types of single-subject experimental designs: Empirical illustration. School Psychology Quarterly, 25, 191-211. doi: 10.1037/spq0000068

Moeyaert, M., Ferron, J., Beretvas, S., & Van den Noortgate, W. (2014). From a single-level analysis to a multilevel analysis of single-subject experimental data. Journal of School Psychology, 52, 191-211. doi: 10.1016/j.jsp.2013.11.003

Moeyaert, M., Ugille, M., Ferron, J., Beretvas, S., & Van den Noortgate, W. (2014). The influence of the design matrix on treatment effect estimates in the quantitative analyses of single-case experimental design research. Behavior Modification, 38, 665-704. doi: 10.1177/0145445514535243

Moeyaert, M., Ugille, M., Ferron, J., Beretvas, S., & Van den Noortgate, W. (2013). The three-level synthesis of standardized single-subject experimental data: A Monte Carlo simulation study. Multivariate Behavioral Research, 48, 719-748. doi: 10.1080/00273171.2013.81662

Moeyaert, M., Ugille, M., Ferron, J., Beretvas, S., & Van den Noortgate, W. (2013). Three-level analysis of single-case experimental data: Empirical Validation. Journal of Experimental Education, 82, 1-21. doi: 10.1080/00220973.2012.745470

Moeyaert, M., Ugille, M., Ferron, J., Beretvas, S., & Van Den Noortgate, W. (2013). Modeling external events in the three-level analysis of multiple-baseline across-participants designs: A simulation study. Behavior Research Methods, 45, 547-559. doi: 10.3758/s13428-012-0274-1

 

 

 

Awards and Honors

Dr. Mariola Moeyaert, received the 2016 Anastasi Dissertation Award from Division 5 of the American Psychological Association for her dissertation, “Three-level synthesis of single-subject experimental data: Further developments, empirical validation and applications."