Students

Our graduate students are highly valued members of the Quantitative Methods Area. We are very proud of the accomplishments and career paths of our past graduate students, and are enjoying watching our current cohort of graduate students grow into established researchers, teachers and consultants.

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


 

Sarah Campbell
Advisor: Dr. R. Philip Chalmers
scampb@yorku.ca
Research Interests: Item response theory, reliable change, judgment and decision-making. 


Victoria Celio
Advisor: Dr. Rob Cribbie
celio12@my.yorku.ca
Research Interests: Negligible effect testing, effect sizes, minimum meaningful effect size, distribution shapes, artificial intelligence, statistics education


Gabriel Crone
Advisor:
Dr. R. Philip Chalmers
gc2001@my.yorku.ca
Research Interests: Contemporary statistical issues within psychology (e.g., p-hacking, statistical misreporting, questionable research practices), statistics education and pedagogy, and statistical methods to detect data anomalies within published research.
Website: gabrielcrone.com


Arjunvir Ghumman
Advisor:
Dr. Phil Chalmers
arjun10@yorku.ca
Research Interests: Machine learning, high-dimensional data, applied statistics, psychometrics, factor analysis, and implementing visual and interactive tools in statistical pedagogy.


Aishvien Nagendran
Advisor: Dr. Cathy (Xijuan) Zhang; Dr. Rob Cribbie
aishvien@yorku.ca
Research Interests: TBD


Deborah Laze
Advisor: Dr. Cathy (Xijuan) Zhang
laze@yorku.ca
Research Interests: Psychometrics, large language models, prompt engineering, development of psychological scales


Michael Truong
Advisor: Dr. Dave Flora
mtruong@yorku.ca
Research Interests:
Latent variable modeling, machine learning, structural equation modeling, psychometric network modeling, multiverse analyses, 'Falsificatory Data Analysis' and neuroimaging.