Students

Our graduate students are highly valued members of the Quantitative Methods Area. Many of our students are funded by external grants, such as Canadian Graduate Scholarships and Ontario Graduate Scholarships, as well serving as statistical consultants with the Statistical Consulting Service.

In addition, our graduate students are highly collaborative and productive, publishing with faculty and other students not only in quantitative and statistical journals but also in other substantive journals in psychology.

Click here for a list of recent graduate student publications.
Click here for a list of recent graduate student conference presentations.


Mark Adkins 
Advisor: Dr. Christopher Green
madkins@yorku.ca
Research Interests: Structural equation modeling, pedagogical methods for improving statistical literacy, mediation analysis, and data visualization


Nataly Beribisky
Advisor: Dr. Robert Cribbie
natalyb1@yorku.ca
Research Interests:
Effect sizes, equivalence testing, multiplicity control, improvements in statistical literacy.

Alyssa Counsell
Advisor: Dr. Robert Cribbie
counsela@yorku.ca
Research Interests: equivalence testing, robust statistics, measurement invariance, structural equation modeling, longitudinal data, pedagogical methods for improving statistical knowledge and attitudes towards quantitative methods, increasing statistical literacy in applied psychological research, statistical modeling of clinical and health data.
Website


Heather Davidson
Advisor: Dr. Robert Cribbie
davi9640@yorku.ca
Research Interests: equivalence testing, effect size measures, replicability of psychological findings, experimental design of social and clinical research, improving statistical literacy


Linda Farmus
Advisor: Dr. Robert Cribbie
lifarm@yorku.ca
Research Interests:
Suppression effects in repeated-measures designs, regression artifacts, multiplicity and replication, and effect sizes.


jooannJoo Ann Lee
Advisor: Dr. David Flora
jooannlee@gmail.com
Research Interests: I am interested in issues surrounding combining data from multiple sources or studies, data visualization, measurement issues, as well as utilizing advanced statistical methods and machine learning in data analysis. I am also a data product developer enthusiast.


sigalMatthew Sigal
Advisor: Dr. Michael Friendly
msigal@yorku.ca
Research Interests: Data visualization and graphical methods, statistical pedagogy, the use of geographic information in statistical analyses
Website


stacks_image_44_1Carrie Smith
Advisor: Dr. Robert Cribbie
smithce@yorku.ca
Research Interests: Multiplicity control in SEM, robust statistical methods via trimming and bootstrapping, graphical methods and data visualization
Website