This website is devoted to work done in the field of Quantitative Methods for Psychology by Canadian (and affiliated) Researchers. The website is affiliated with the Quantitative Methods Section of the Canadian Psychological Association
The current serving members of the Quantitative Methods executive committee are:
Dr. Andrea Howard (current chair)
Dr. Howard is an Associate Professor in the Department of Psychology at Carleton University, with a research program focused on promoting well-being and mental health in adolescence and the transition to adulthood. The unique challenges of the transition to university figure prominently in her work. Dr. Howard trained as a developmental psychologist during her PhD program at the University of Alberta, and worked for three years as a postdoctoral researcher in the quantitative psychology program at the University of North Carolina at Chapel Hill studying innovative methods for developmental data analysis. She teaches quantitative methods courses in her graduate program and publishes research answering a diverse range of questions about youth development, health behaviours, mental health, and quantitative methods . Her research is currently funded by grants from the Social Sciences and Humanities Research Council of Canada, the Canadian Institutes of Health Research, and the U.S. National Institutes of Health.
Dr. Donald Sharpe (past chair)
Dr. Sharpe is a Professor in the Department of Psychology at the University of Regina. He received his PhD from the Department of Psychology at the University of Manitoba specializing in Social Psychology. He teaches both graduate and undergraduate psychology courses in quantitative methods at the University of Regina. His current research interests include applications of quantitative approaches (e.g., meta-analysis; structural equation modeling), and research methodology.
Dr. Robert Cribbie (chair elect)
Dr. Cribbie is a Professor in the Quantitative Methods Area of the Department of Psychology at York University. He received his PhD from the Department of Psychology at the University of Manitoba specializing in robust ANOVA strategies, structural equation modeling, and multiplicity control. At York he teaches both graduate and undergraduate psychology courses in quantitative methods and has been a long time member of the Statistical Consulting Service. His current research centers around equivalence testing, multiplicity control, effect sizes, robust statistics, and related topics.
Dr. Oscar L. Olvera Astivia (communications)
Dr. Olvera Astivia is an assistant professor in the Educational Measurement and Research Program at the University of South Florida’s College of Education. Dr. Olvera Astivia specializes in psychometric and statistical research, with special emphasis on the mathematical properties of data-generating algorithms for Monte Carlo simulations. He is interested in studying multivariate, non-normal spaces through the use of copula distribution theory and how this framework can be applied to latent variable modelling. He also has a special focus on revisiting what can be considered “best practices” or “common knowledge” in data analysis and look at their implicit assumptions.
Dr. Olvera Astivia’s work has been published in the “British Journal of Mathematical and Statistical Psychology,” the “Journal of Educational and Behavioral Statistics,” and “Educational and Psychological Measurement,” among others.
Dr. Alyssa Counsell (secretary/treasurer)
Dr. Alyssa Counsell is an assistant professor in the Department of Psychology at Ryerson University and director of the Research Methods and Statistics lab. She is primarily interested in structural equation modeling and equivalence testing, as well as identifying new ways to bridge the gap between methodological innovation and applied statistical practice. Dr. Counsell further researches topics related to statistics pedagogy such as attitudes toward statistics and using statistical software.
Dr. Alyssa Counsell’s work has been published in journals such as Multivariate Behavioral Research, the British Journal of Mathematical and Statistical Psychology, Educational and Psychological Measurement, Canadian Psychology, among others.
Udi Alter (student representative)
Udi Alter is a second-year master’s student at Ryerson University’s Research Methods and Statistics lab in the Psychology Department. He is interested in equivalence testing, accuracy in parameter estimation, effect sizes, and Monte Carlo simulations. In addition, Udi is passionate about teaching statistics, data science, programming, and philosophy of science. He is an advocate for open-science practices, replicable and reproducible research, and an avid R user.