Choice Data in R
Discrete Choice, Best-Worst, and Volumetric Choice Data in R, Remote workshop taught by Towhid Islam, 1-3 Dec 2022
Author: Towhid Islam
Discrete Choice, Best-Worst, and Volumetric Choice Data in R
A 3-Day Remote Workshop Taught by Towhid Islam, PhD., Professor, Department of Marketing and Consumer Studies, University of Guelph, Ontario, Canada.
This workshop provides a comprehensive introduction to the design and analysis of traditional discrete choice experiments (DCE), best-worst scaling (BWS), and the recently developed volumetric choice experiment (VCE) that elicits discrete count quantities. Choice models are frequently used by academics, industry researchers, and public policymakers to understand individual choice behavior and are applied in a dozen disciplines, including economics, finance, urban planning and transportation, environmental economics, health, and agriculture, among other strategic and tactical areas of interest.
Thursday, December 1, 2022 – Saturday, December 3, 2022.
Live Lecture and Lab Session: 10 am–3:00 pm Eastern Time (New York Time) each day with one hour break at noon. Video-recorded versions will be accessible for 8 weeks,
Payment: The fee of Canadian $700 Regular, $500 for Students, includes lecture material, R codes, and data.
Visit the link for details: https://dataorbit.ca/course/11