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Pre-Conference Workshops

Pre-Conference Workshop #1
Tuesday, September 18 and Wednesday, September 19, 2012
8:30 a.m. - 4:30 p.m.

Introduction to Using ERPLAB Toolbox for ERP Data Analysis
Steven J. Luck, Ph.D.
University of California (UCSD)
Davis, CA

This two-day workshop description is forthcoming. Please check back here soon.


Pre-Conference Workshop #2
Wednesday, September 19, 2012
8:30 a.m. - 4:30 p.m.

ICA/PCA of ERP Data: An EP Toolkit Tutorial Workshop
Joseph Dien, Ph.D.
University of Maryland
College Park, MD

This one-day workshop is an introduction to the use of independent components analysis (ICA) and principal components analysis (PCA) for the purposes of preprocessing data, identification of ERP components, inference testing, and enhancement of source analysis. The session will consist of a mix of lecture and hands-on tutorials. The EP Toolkit (Dien, 2010) will be used to conduct all the analyses. The EP Toolkit is an open source software package that requires Matlab (2006 or later) to run. Attendees will need to bring a laptop with Matlab if they are to participate in the tutorials. A CD with the installation files for the EP Toolkit (not including Matlab) and tutorial datasets will be provided. Attendees are also welcome to bring their own data as an alternative to the tutorial datasets.


Pre-Conference Workshop #3
Wednesday, September 19, 2012
8:30 a.m. - 4:30 p.m.

Beyond Traditional Approaches to Analyzing Repeated Measures: Applying Multi-level Modeling in Psychophysiological Research
Theodore P. Beauchaine, Ph.D.
State University of New York at Stony Brook
Pullman, WA

Most psychophysiological research in which data are collected across multiple measurement points are analyzed with either repeated measures analysis of variance (ANOVA) or multivariate analysis of variance (MANOVA). Although multilevel modeling (MLM) is well suited for such data and has several advantages including less restrictive assumptions, greater statistical power, and provision for direct modeling of time-varying covariates, it is still used sparingly by psychophysiologists. In this workshop, I will (1) describe different approaches to analyzing repeated measures data, including ANOVA, MANOVA, growth curve analysis (the basis of MLM), and MLM; (2) present illustrative examples of the advantages of MLM with data collected in my lab; and (3) provide a hands-on tutorial on using and interpreting results from Hierarchical Linear Modeling (HLM) software, version 7. Participants are encouraged to download the free Student Edition of HLM 7 (http://www.ssicentral.com/hlm/student.html) before arriving. Although a dataset will be provided to run practice analyses on in the afternoon, participants may also bring their own data.