Many Outcomes, Many Approaches: Making Sense of Multivariate Data

Many studies collect multiple, often correlated outcome measures, also known as multivariate data, such as responses to items within a psychological scale, abundance of multiple species across sites, or concentrations of chemical elements. Researchers often struggle with deciding how to analyse such data appropriately. This seminar will explore analytical strategies for analysing multiple correlated outcomes in low-dimensional settings. Using examples, we will illustrate different approaches, and discuss the trade-offs between statistical power, interpretability and model complexity.

Date: 23 October 2025

Time: 2.30pm - 3.30pm

Speaker: Maeve McGillycuddy, Statistical Consultant, UNSW Stats Central

Delivery Mode: Hybrid

Location: AGSM Room G04

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Please send us an email at: stats.central@unsw.edu.au

Many Outcomes, Many Approaches: Making Sense of Multivariate Data

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