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.
Daily Archives: March 27, 2019
Congrats to Nataly Beribisky: 3MT Winner!
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!
