Science Training Sessions

This training further describes how to properly specify the effects of individual-level predictors in multilevel models for clustered data

This session delves into what eye-tracking entails, what it helps us measure, and how to create research designs specifically for eye-tracking studies in psychology

Explore popular missing data methodologies such as maximum likelihood, Bayesian estimation, and multiple imputation

An introduction to the five tenets of QuantCrit. The presentation will explain how researchers can use QuantCrit to make equitable shifts regarding race and racism in their quantitative analyses.

The workshop will explore the pros and cons of using smartphone apps to gather sensor data on users' behavior, including language, cognition, activity, sleep, mobility, and environmental exposure

Provides a general overview of the dynamic structural equation modeling approach to intensive longitudinal data

Four early-career Indigenous psychologists share their experiences and expertise concerning the identification and application of Indigenous ways of knowing for research in psychology

Demonstrates how the multilevel model can easily accommodate common features of intensive longitudinal data

This session covers techniques for diagnosing the presence of latent subgroups (classes) with homogeneous change patterns, model fitting, and interpretation of results based on exploratory and confirmatory approaches

Explores the challenges of intensive longitudinal methods in detail

Artificial intelligence and data science techniques for processing unstructured data are introduced, and the ethical considerations that accompany the implementation of these cutting-edge models is also examined

This session discusses what factor analysis is as well as the differences between factor analysis and principal components analysis

This training focuses on GIMME, a method for the discovery and estimation of network models

Provides an overview and definition of intensive longitudinal methods that focuses on the importance of within-person change processes

This session covers the underlying principles and application of mediation using ordinary least squares regression and the PROCESS macro for SPSS, SAS, and R

This session covers the underlying principles and application of moderation using ordinary least squares regression and the PROCESS macro for SPSS, SAS, and R

Get an introduction to multilevel models for clustered data and learn how to interpret the effects of cluster-level predictors

Learn about the general framework of network models for multivariate data

Learn common methods of network analysis through practical examples; these include identifying central individuals, conducting community detection, and fitting social network models

This session covers advances in artificial intelligence, with a focus on the innovations that helped lead to generative AI, and how these innovations also improved automated scoring and the processing of text

Outlines advances in and adoption of wearable technology for the collection of biobehavioral data in research settings

Introduces experience sampling methods and outlines issues that need to be considered when using these methods.

Researchers and practitioners will share perspectives and experience with regard to assessment methodological research and practice with and for Indigenous Peoples.

Introduces the basic steps of performing a meta-analytic review, from identifying research questions, searching and coding the literature, statistical analysis, through presenting results.

In this program, participants will learn about the fundamentals of fMRI data acquisition, processing, and analysis.

Explains what mainstream journalists are looking for and offer tips to help you work with them to produce accurate, compelling stories.