This page exists only to recognize the contributions of past students
in this course and to serve as examples and guidance for current
students. It is also a tribute to their work and enthusiasm!
Any materials linked on this page are the intellectual property of
the students in this course. They may not be reproduced or used in any
other manner without express permission of the student involved. Don’t
even think about it.
2026
Team 6136
Students in Psych 6136, Winter, 2026

Final Projects
WIP! Some of the abstracts submitted are in Psy6136 Final
Project Abstracts
- Kyra Farrelly, Latent Class Analysis Tutorial: Understanding
Cannabis and Other Drug Usage Patterns
- Gavin Klorfine, Steps Toward Tidy Categorical Data Analysis in
R
- Felicia Tassone & Nathaniel Goldstein, Using Categorical
Data Methods to Quantify Reaching and Grasping Kinematics Video
presentation
- Riya Trikha, Exploring Free Association
- Haley Bernusky, LCA for categorical substance use data
- Gabriel Crone & Naomi Martinez Gutierrez, Shiny Mosaics
app
2023
Team 6136
Students in Psych 6136, Winter, 2023

Final Projects

The following projects were submitted in the course. All were of
sufficient quality to be forwarded to the nacent Journal of
Categorical Data Analysis.
- Feldman, Samantha and Levi, Adina, and Baptist-Mohseni, Natasha.
A Broad Review of Categorical Data Analysis in Clinical and
Neuropsychology.
- Forsythe, Jeremy and Forchuk, Callista, and Kian Alan . Nascent
Areas for Categorical Data Analysis: Describing and Applying Latent
Class Analysis (LCA) with a focus on Clinical Psychology
Research.
- Lee, Hyeonchung & Kim, Jueun. Predicting the Stay of Removal
Decisions.
- Lott, Kristen. Latent Class Analysis for the Social and
Behavioural Sciences.
- Simon, Jenny Royze. Recent Developments in Categorical Data
Analysis.
- Singh, Arjunvir. Tidy CDA.
- Truong, Michael and Alter, Udi. Throwing a fit: A novel method
to properly evaluate goodness-of-fit between discrete
distributions.
- Yang, Dia. Analysis of Canadian Refugee Board Stay of Removal
Decisions.
Copyright © 2018 Michael Friendly. All rights reserved. ||
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