title: Effect size - large, medium, and small.
abstract: The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researchers alike increase awareness of how to use statistics and why/how we fall into inappropriate choices or interpretations. We hope to help readers understand common misconceptions and give clear guidance on how to avoid common pitfalls by offering simple tips to improve your reporting of quantitative research findings. Each entry discusses a commonly encountered inappropriate practice and alternatives from a pragmatic perspective with minimal mathematics involved. We encourage readers to share comments on or suggestions for this section on Twitter, using the hashtag: #mededstats.
authors.affiliation: University Maastricht, Maastricht, The Netherlands. jimmie.leppink@maastrichtuniversity.nl.
authors.forename: Jimmie
authors.initials: J
authors.lastname: Leppink
authors.affiliation: University of California, San Francisco, USA.
authors.forename: Patricia
authors.initials: P
authors.lastname: O'Sullivan
authors.affiliation: The Commonwealth Medical College, Pennsylvania, USA.
authors.forename: Kal
authors.initials: K
authors.lastname: Winston