Skills-Building Workshops

The APS Annual Convention includes these extended educational sessions that offer attendees the opportunity to learn research methods and techniques from prominent psychological scientists.

Workshops are open to Convention and/or Teaching Institute registrants only and require separate registration. Workshops are co-sponsored by APS and the Society of Multivariate Experimental Psychology (SMEP)

Computational Models for Formalizing Theories

Eiko Fried, Leiden University, Netherlands
Don J. Robinaugh
, Massachusetts General Hospital

Experience Sampling Methods and Implementation

Sabrina J. Thai, Brock University, Canada

Introduction to Bayesian Statistics

Johnny J. Zhang, University of Notre Dame

Machine Learning and Python

Multilevel Modeling

Jeremy C. Beisanz, University of British Columbia, Canada

Regression, Classification, and Clustering

Irini Moustaki, The London School of Economics and Political Science, United Kingdom

Scientific Writing for Psychological Scientists

Rob V. Kail, Purdue University

Statistical Analysis using R

William R. Revelle, Northwestern University
David M. Condon, University of Oregon
Sara J. Weston, University of Oregon

The General Linear Model

Yasmin Ghodse-Elahi, New York University
Patrick E. Shrout,
New York University

Workshops are still being added to the program. Last updated December 11, 2019.