In this paper we explore when trained and untrained researchers start to perceive a correlation or mean difference as 'meaningful'. This is the first of a set of studies aiming to improve our understanding of the 'smallest meaningful effect size', a value that is imperative for power analyses, equivalence testing, effect size interpretation, etc.
Couldn't be more proud of Nataly Beribisky, the 'People's Choice" winner in the Three Minute Thesis (3MT) competition at York University. Her presentation was entitled 'Power Analysis: A Multifaceted Mess'. It is tough to discuss statistical concepts with a broad audience, but she nailed it!