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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