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 registrants only and require additional registration fees. Workshops can be added when you register for the APS Convention. If you’ve finalized your registration, please follow these instructions to add a workshop.

THURSDAY, MAY 25

Introduction to Dyadic Data Analysis for Psychological Scientists – 3

Presenter: William J. Chopik, Michigan State University, USA

Thursday, May 25, 9:00 am – 11:50 am  

This workshop will provide an accessible introduction to dyadic data analysis; show how to build intuitions by providing sample data/syntax/walk-throughs of preliminary models; and provide a demonstration/guide on longitudinal dyadic analyses (e.g., growth curves, common fate models, non-normal outcomes, measurement issues, mutual influence).

Understanding Bayesian – 2

Presenter: Brian Leventhal, James Madison University, USA

Thursday, May 25, 9:00 am – 12:50 pm  

This workshop introduces steps of Bayesian analysis: 1) specifying a prior, 2) using a likelihood, 3) forming a posterior and 4) making inferences. Attendees will be able to articulate major considerations of a Bayesian analysis, contrast Bayesian and Frequentist approaches, and identify components of Bayesian research.

Introduction to Structural Equation Modeling in the Psychological Sciences – 4

Presenter: Tim Hayes, Florida International University, USA

Thursday, May 25, 9:00 am – 12:50 pm  

Structural Equation Modeling (SEM) combines common factor analysis with multiple regression to allow researchers to assess true score relations among constructs of theoretical interest. This workshop presents an overview of the logic, implementation, and interpretation of SEMs. Topics covered will include path analysis, confirmatory factor analysis, and structural regression analysis. Software packages used: lavaan (R) and Mplus. 

Meta-Analysis When Effects Vary – 1

Presenters: Elizabeth Tipton, Northwestern University, USA, and Terri Deocampo Pigott, Georgia State University, USA

Thursday, May 25, 9:00 am – 12:50 pm  

Most meta-analyses in psychology include moderate to large numbers of studies. The effect sizes vary both within and between studies. This workshop introduces methods for handling heterogeneous effect sizes in MA, including planning for variation, coding moderators, prediction intervals, multivariate models, and robust variance estimation using R.

Targeting Mechanisms of Behavior Change: A Hands-On Workshop to Improve the Value and Rigor of Your Research Using the Science Of Behavior Change – 5

Presenters: Jeffrey Birk, Columbia University Irving Medical Center, Janine Simmons, National Institute on Aging, Division of Behavioral and Social Research, Melissa Riddle, National Insitute of Dental and Craniofacial Research, Behavioral and Social Sciences Research Program, Lisa Onken, National Insitute on Aging, Behavior Change and Intervention Program

(Sponsored by the Science of Behavior Change Research Network)

Registration fee:

Thursday, May 25, 1:00 pm – 4:20 pm

The workshop will feature talks from NIH officials and hands-on activities. Attendees will learn how to apply a rigorous mechanistic approach to behavior-change research. Attendees will practice writing mechanism-focused specific aims and will learn about a new checklist to enhance the planning, conduct, and reporting of their own research.

This workshop is presented by the Science of Behavior Change (SOBC) Research Network. If you have questions about the session, please contact Jeffrey Birk, Ph.D., at jlb2287@cumc.columbia.edu.

Introduction to Multilevel Modeling – 6

Presenter: Jason Rights, The University of British Columbia, Canada

Thursday, May 25, 1:30 pm – 3:20 pm           

Multi-Level Modeling (MLM) is widely used in psychology and other fields to analyze nested data structures (e.g., students nested within schools). This workshop will provide a brief introduction to MLM, including both theoretical foundations as well as tools for practical application.

Meta-Analytic SEM – 8

Presenter: Suzanne Jak, Universiteit Van Amsterdam, Netherlands

Thursday, May 25, 1:30 pm – 4:20 pm    

Meta-analytic structural equation modeling (MASEM) is a statistical technique that allows one to fit SEM models on meta-analytic data. Learn the basics of MASEM and get practical experience with fitting MASEM models using the dedicated online app webMASEM.

Mediation and Moderation Analysis With PROCESS – 7

Presenter: Jacob Coutts, The Ohio State University, USA

Thursday, May 25, 1:30 pm – 4:20 pm           

Models with mediated and/or moderated components are often better specifications of real-world causal effects. PROCESS is a popular, freely available tool used to estimate effects in these models.

FRIDAY, MAY 26

Aligning Policies and Incentives with Institutional Values

Presenters: Michael Dougherty, University of Maryland and Caitlin Carter, Higher Education Leadership Initiative for Open Scholarship (HELIOS) and Open Research Funders Group

Friday, May 26, 1:00 pm –2:20 pm

The Alliance for Open Scholarship and HELIOS are hosting a workshop at the 2023 APS Annual Convention focused on aligning our reappointment, promotion, tenure, and hiring policies with our institutional and disciplinary values. This workshop is open to all APS Convention attendees with no additional registration fee. Find more information and RSVP here.  

Psi Chi Sponsored Workshop: Tiny Tasks in R – 9

Presenters: Jordan R. Wagge, Avila University and Kelly M. Cuccolo, Alma College

Friday, May 26, 3:00 pm – 5:00 pm

In this session, attendees will learn how to work with the statistical analysis program R. Attendees will work alongside our facilitators using open data from Psi Chi publications to learn how to open a data set, prepare data, and do basic descriptive statistics, inferential statistics, and data visualization tasks. This workshop is sponsored by Psi Chi and is open to all APS Convention attendees with no additional registration fee.

SUNDAY, MAY 28

Data Visualization Using R for Researchers Who Don’t Use R – 10

Presenter: Emily Nordmann, University of Glasgow

Sunday, May 28, 9:00 am – 11:50 am

This workshop will provide a pragmatic introduction to the programming language R through focusing on data visualization using materials adapted from the PsyTeachR team at the University of Glasgow. No prior knowledge of R or programming is required.

Prerequisite:

• Laptop with R and Rstudio installed or access to Rstudio Cloud
• Please complete the workshop prep so that you have all the necessary packages and data before the workshop: https://emilynordmann.github.io/aps-dataviz/index.html

Survival Analysis – 12

Presenter: Meghan Cain, StataCorp LLC, USA

Sunday, May 28, 9:00 am – 11:50 am   

Learn how to effectively model time-to-event data with survival analysis. This workshop introduces the concepts of censoring, truncation, hazard rates, and survival functions. Describing data, plotting Kaplan–Meier curves, fitting Cox proportional-hazards models, and more will be demonstrated in Stata.

Getting Started With Registered Reports – 11

Presenters: William Krenzer, Duke University, USA and Tristan Tibbe, University of California, Los Angeles, USA

Sunday, May 28, 9:00 am – 11:50 am         

Academic publishing has seen rapid change over the years – one of which being the creation of registered reports, a submitted project proposal to a journal prior to data collection. This workshop will inform researchers about what registered reports are, how to find examples, and guidance for publishing them.

Experience Sampling Methods and Implementation – 13

Presenter: Sabrina Thai, Brock University, Canada

Sunday, May 28, 9:00 am – 12:50 pm          

Learn how to create and integrate ExperienceSampler on your own sampling smartphone app and with survey software. Issues related to conducting and experience sampling studies design decisions, best practices, data organization, and data analysis will be discussed. 

Power Analysis – 14

Presenters: Han Du, University of California, Los Angeles, USA & Zhiyong Johnny Zhang, University of Notre Dame, USA

Sunday, May 28, 9:00 am – 12:50 pm 

Power analysis is a statistical method used in psychological research to determine the appropriate sample size for a study and is often required in grant proposals and by journals as part of the research submission process. WebPower is a software platform that provides a user-friendly interface for conducting power analyses for various statistical methods, including t-tests, ANOVA, regression, mediation analysis, multilevel modeling, longitudinal data analysis, and structural equation modeling. The workshop will focus on teaching participants how to use this software to conduct power analyses for their own research

Bayesian SEM With blavaan – 15

Presenter: M. (Mauricio) Garnier-Villarreal, Vrije Universiteit Amsterdam, Netherlands & Ellen Fitzimmons, University of Missouri

Sunday, May 28, 9:00 am – 12:50 pm      

Instruction in SEM from the Bayesian paradigm. Covering common SEM models, and Bayesian (inference) topics such as prior selection, model comparison, and evaluation of results. This seminar is design to portray the advantages of the Bayesian paradigm, both philosophical and practical, within the application of SEM.   

Data Science for Psychologists -16

Presenter: Mason Garrison, Wake Forest University, USA

Sunday, May 28, 9:00 am – 12:50 pm             

Data Science for Psychologists introduces the principles of data science. Gain a strong foundation in R and the tidyverse, including data wrangling, modeling, visualization, and communication. This workshop is suitable for both beginners and those seeking to expand their research toolbox. No prior R coding experience is required.