Seminar: Same Same But Different: How to Actually Prove Things Are Similar

Overview

A pervasive misinterpretation in research occurs when investigators conclude that two treatments or conditions are "the same" based solely on obtaining a non-significant p-value. This common error stems from a fundamental misunderstanding: the absence of evidence for a difference is not evidence of equivalence. Traditional hypothesis testing is designed to detect differences, not to demonstrate similarity. This presentation is designed for researchers across disciplines who regularly encounter questions about whether treatments, methods, or conditions can be considered "equivalent".

Unlike conventional null hypothesis significance testing, equivalence tests explicitly attempt to prove that differences between groups fall within pre-specified bounds of practical irrelevance. The presentation will demonstrate how thinking in terms of equivalence margins, even without formal equivalence testing, can dramatically improve research design and interpretation. Generic methodology will be introduced that can be implemented across any statistical software.

The talk will be about 40 minutes long and following by discussion.

Date: Thursday 25 September 2025

Time: 2.30pm - 3.30pm

Speaker: Eve Slavich, Statistical Consultant, UNSW Stats Central

Delivery Mode: Hybrid

Location: TBA

FAQs

How can I contact the organiser with any questions?

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