Files and scripts for a workshop on introducing R.
I have a PhD in Quantitative Methods from York University. QM is an area that bridges the gaps between statistical theory, research design and methodology, and their applied aspects, such as client consultation and data interpretation. Please visit this page to peruse a recent version of my curriculum vitae (last updated: February 25th, 2020).
I am particularly interested in methods of data visualization (especially for truly multivariate analyses), multilevel and structural equation modeling, Monte Carlo simulations, and statistical Pedagogy. Some of my recent research pertains to the implementation of interactive graphics for model diagnostics.
As of January 2018, I am a continuing lecturer in the Psychology Department at Simon Fraser University and a course coordinator at Fraser Institute College. My typical courses include PSYC 210 (Introduction to Data Analysis in Psychology), PSYC 301 (Intermediate Research Methods and Data Analysis), PSYC 201 (Introduction to Research Methods in Psychology), and PSYC 391⁄715 (a special topics course on Data Communication). As of Spring 2021, I will also be responsible for PSYC 824E (Research Issues in Psychology). In addition, I am the Director of the Psychological Methods Consulting group.
PhD in Quantitative Methods, 2017
York University
MA in the History of Psychology, 2011
York University
BA (Hons.) in Psychology, 2008
Bishop's University
2020-06-25, Presentation given in at A Meeting of Methodologies (AMOM) Conference
2020-02-26, Workshop given in conjunction with the Psychology Graduate Students Caucus
2020-01-22, Presentation at HQT Area Seminar
I have had the pleasure of directing the following classes:
In addition, I have run the following short courses and workshops:
Files and scripts for a workshop on introducing R.
A brief vignette on incorporating interactions with continuous predictors.
A demonstration of a custom function for generating stratified random samples from an arbitrary number of factors.