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Big, Small, They’re All the Same to Me: Accounting for Varied Factor Structures in Two-Table Multivariate Analysis - Psychology Lecture Series

Psychology Lecture Series - Virtual Talk

Title - Big, Small, They’re All the Same to Me: Accounting for Varied Factor Structures in Two-Table Multivariate Analysis

Speaker - Luke Moraglia
PhD Student - UT Dallas

Researchers often analyze the relationships between the variables of two data tables, such as measures of behavior and measures of brain activity. However, the two data tables often contain subtables of variables, e.g., brain regions within the brain activity table, and subtables with different sizes and factor structures could bias the results of the analysis. This talk will give a brief overview of a two-table multivariate technique called partial least squares correlation (PLSC), and will detail a new adaptation to PLSC that prevents the problems created by subtables.

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Dial-In Information

 

 

Thursday, January 28 at 2:30pm to 3:30pm

Virtual Event

Persons with disabilities may submit a request for accommodations to participate in this event at UT Dallas' ADA website. You may also call (972) 883-5331 for assistance or send an email to ADACoordinator@utdallas.edu. All requests should be received no later than 2 business days prior to the event.

Event Type

Lectures & Workshops

Target Audience

Undergraduate Students, Faculty & Staff, General Public, Graduate Students

Topic

Research, Science & Technology

Tags

Varied Factor Structures, Two-Table, Multivariate Analysis

Department
Behavioral and Brain Sciences
Contact Information
Leslie Grimmer
Leslie.Grimmer@utdallas.edu
972-883-2734
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