This article has been getting a lot media play over the past couple of days (which is interesting in itself, since it was published back in April). It strikes me, however, as a classic example of paying way too much attention to p-values and not enough to effect sizes. Yes, the effects are significant (mostly), but if you look at the full article, it appears that the R-squares range from .11 downwards. Not exactly a Eureka! moment.
http://www.ncbi.nlm.nih.gov/pubmed/25491047?utm_content=buffer077fa&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer Chris ....... Christopher D Green Department of Psychology York University Toronto, ON M3J 1P3 43.773759, -79.503722 [email protected] http://www.yorku.ca/christo --- You are currently subscribed to tips as: [email protected]. To unsubscribe click here: http://fsulist.frostburg.edu/u?id=13090.68da6e6e5325aa33287ff385b70df5d5&n=T&l=tips&o=47730 or send a blank email to leave-47730-13090.68da6e6e5325aa33287ff385b70df...@fsulist.frostburg.edu
