An Introduction to Social Network Analysis | Data Visualization in R | An Introduction to Longitudinal Dyadic Analyses | The Open Science Framework: Practical Steps to Increase Reproducibility | Setting Up a Social Psychophysiological Lab | Bayesian Analysis with JASP: A Fresh Way of Doing Statistics | MEMORE: Mediation and Moderation in Repeated Measures Designs
Workshops provide convention attendees with an in-depth learning experience on a specific topic. Space is limited in these session and an application to attend is required.
Applications to attend these workshops will be open from November 7th through December 5th or until filled. Decisions on selected participants will be sent in late December.
Fri, January 20th, 2:00 PM - 4:30 PM
Chair & Speaker: Gregory Webster, Univ. of Florida
Social network analysis is becoming the vanguard of methodological approaches to understanding individuals in social contexts. Because social networks integrate information about individuals (nodes) and their relationships (ties), they are ideal for understanding human social interaction. This workshop will provide a primer on social network analysis for social–personality psychologists.
Who should attend: This workshop is geared toward anyone who’s interested in learning about social network analysis, from undergraduates to full professors.
Fri, January 20th, 2:00 PM - 4:30 PM
Chair: Maike Luhmann, Ruhr Univ. Bochum
Speakers: Maike Luhmann, Ruhr Univ. Bochum; Frederik Aust, Univ. of Cologne
This workshop provides an introduction to graphics in R using the R plot and ggplot2 packages. Various methods for data visualization will be demonstrated and actively practiced. Graphical functions for both quick data visualization and publication purposes will be covered. No prior knowledge of R is required.
Who should attend: Prospective and advanced R users interested in learning about the powerful R functionality. No prior knowledge of R required.
Sat, January 21st, 8:00 AM - 12:15 PM
Chairs & Speakers: Robert Ackerman, Univ. of Texas at Austin; Deborah Kashy, Michigan State Univ.
This workshop provides an introduction to Dyadic Growth-Curve Models and Cross-Lagged dyadic models within the Actor-Partner Interdependence Model context (Kenny, Kashy, & Cook, 2006). Students will learn basic features of longitudinal dyadic data and how to estimate and interpret the results of these models using Multilevel Modeling.
Who should attend: Graduate students, faculty, and professionals who possess a strong familiarity with Multiple Regression and SPSS and some familiarity with multilevel modeling.
Sat, January 21st, 8:00 AM - 11:00 AM
Chair & Speaker: Courtney Soderberg, Center for Open Science
This practical workshop will review laboratory and personal research practices to improve reproducibility. Topics include project and data management, preregistration, managing collaborations, and getting the most out of the Open Science Framework (http://osf.io/) for private and public laboratory operations. This workshop will be hands-on, so please bring your laptop.
Who should attend: This session is geared towards researchers at all levels (e.g. graduate students, post docs, professors) who are interested in learning how to increase the reproducibility of their work and/or getting a better understanding of how to use the OSF specifically.
Sat, January 21st, 12:30 PM - 3:00 PM
Chairs & Speakers: Elizabeth Page-Gould, Univ. of Toronto; Pranjal Mehta, Univ. of Oregon
This workshop explains how to setup a new social psychophysiological lab or add a psychophysiological component to your existing lab, focusing on neuroendocrine and autonomic nervous system measurement with discussion of dyadic and longitudinal designs. The workshop’s modular format allows you to personalize the lab setup to your research questions.
Who should attend: The workshop is geared toward junior faculty, post-docs, and grad students who may build a lab from scratch. However, we anticipate that some more senior researchers who want to add psychophysiology to their research will also be interested.
Sat, January 21st, 2:00 PM - 5:00 PM
Chair & Speaker: Alexander Etz, Univ. of California, Irvine
The main purpose of this workshop is to provide participants with a gentle introduction to key Bayesian concepts in estimation and hypothesis testing, as well as familiarize them with the free statistics software JASP.
Who should attend: This workshop is relevant to any student or researcher who wishes to draw conclusions from empirical data. No background in Bayesian statistics is required. It is recommended that participants bring a laptop with the latest version of JASP installed.
Sat, January 21st, 3:30 PM - 6:15 PM
Chair & Speaker: Amanda Montoya, Ohio State Univ.
This workshop overviews mediation and moderation analysis in repeated-measures designs when the independent variable of interest is a within-participant factor. We will cover implementation (using a freely available tool for SPSS and SAS) interpretation for questions of mediation and moderation in these designs. Participants are strongly encouraged to bring laptops.
Who should attend: Researchers already familiar with linear regression and basic principles of mediation and moderation will benefit most from this workshop. Anyone with previous experience using PROCESS or similar tools will find this workshop helpful.