Rory Waisman

photo of Business PhD Marketing student Rory Waisman

PhD Candidate
Marketing

Email: rwaisman@ualberta.ca

Department: Marketing, Business Economics and Law
Office Hours: By appointment

Address: Business Building Room 2-24
University of Alberta
Edmonton, AB T6G 2R6
Canada


Research Interests

I am broadly interested in how consumers construct judgments, decisions, and preferences. I employ experimental methods, big data analysis, and computational cognitive modeling to investigate how choice architecture and contextual factors interact with basic psychological processes to drive consumer behavior. My research has three primary streams; evaluation of consumption objects and experiences, financial decision making, and persistence of the behavioral effects of nudges.

My research is supported by the Social Sciences and Humanities Research Council (SSHRC) via the Joseph-Armand Bombardier Canada Graduate Scholarship - Doctoral Program (CGS-D).

Published Research

Li, Johnson C-H., Marcello Nesca, Rory M. Waisman, Yongtian Cheng, Virginia Man Chung Tze (2021), “A Robust Effect Size Measure Aw for MANOVA with Non-Normal and Non-Homogenous Data,” Methodological Innovations, 14(3), 1-12.

Donkers, Bas, Benedict G.C. Dellaert, Rory M. Waisman, and Gerald Häubl (2020), “Preference Dynamics in Sequential Consumer Choice with Defaults,” Journal of Marketing Research.

Li, Johnson C-H. and Rory M. Waisman (2019), “Probability of Bivariate Superiority: A Non-Parametric Common-Language Statistic for Detecting Bivariate Relationships,” Behavior Research Methods. 51(1), 258-279.

Runner up for the Canadian Psychological Association 2020 Quantitative Methods Research Award.

Three Minute Thesis

At the 3MT UAlberta Finals on April 11, 2018, I presented my three minute thesis "Nudging Sustained Behaviour Change."

View 2018 3MT video: YouTube (3:22)

I was also a finalist in the 2020 3MT UAlberta Competition where I remotely presented my three minute thesis "Confidence from Uncertainty."

View 2020 3MT video: YouTube (3:19)

CV