The morning workshop is by Professor Michel Regenwetter:

Time: 9am-12pm

Heterogeneity of Behavior: Order-Constrained Modeling and Data Analytics

Synopsis: Conceptual, mathematical, and statistical framework to model heterogeneity of behavior and better understand the scope of psychological theory. Workshop participants will learn to move beyond a psychology of averages and think of variability of behavior as a source of information for scientific inquiry rather than mere noise. This workshop provides a basic introduction to order-constrained models and associated statistical inference methods, including frequentist and Bayesian approaches. No advanced mathematical modeling or quantitative analytics skills are required. The workshop aims to speak to a broad audience with a broad range of scientific interests. If you are willing to think deeply about variability and heterogeneity, this workshop should have something to offer.

Requirements: You may wish to bring a laptop to follow along with demonstrations on an online app.

The afternoon workshop is by Professor Andrew Heathcote:

Time: 2pm-5pm

Extended Models of Choice in R

Synopsis: This workshop will provide an overview of the EMC2 package, which supports Bayesian hierarchical fitting of a range of cognitive models of choice. The workshop will focus on four basic Evidence Accumulation models, the Diffusion Decision Model (DDM), the Linear Ballistic Accumulator (LBA), the Racing Diffusion Model (RDM) and the Lognormal Race (LNR). It will demonstrate how to estimate these models using R's linear model language to specify the mapping of design factors to each type of model parameter, with fits to both individuals and to groups of participants with a population model allowing for correlations among model parameters. Methods of model checking, posterior inference and model comparison will be demonstrated, with the latter using DIC, BPIC, and marginal likelihoods (i.e., Bayes Factors) estimated by the IS2 and bridge sampling methods.

Requirements: In order to follow along with demonstrations bring a laptop with a recent version of R and the EMC2 package and dependencies installed (details will be provided to participants before the workshop).