This week the reader is directed to Messy Matters to read up on research conducted by Sharad Goel, Duncan Watts and Dan Goldstein in which they hunted for traces of "viral" diffusion on Twitter, Facebook, Yahoo!, and beyond. The results run counter to mainstream intuition.
PREDICTING CONSUMER BEHAVIOR FROM SOCIAL NETWORKS This week, Decision Science News is doing a special cross-posting with Messy Matters. The post below is by Sharad Goel and describes work that he and your Decision Science News editor Dan Goldstein are jointly undertaking at Yahoo! Do you know what the #$*! your social media strategy...
MYTHS AND TRUTHS ABOUT AN OFTEN-USED, LITTLE-UNDERSTOOD STATISTICAL PROCEDURE If you go to a consumer research conference, you will hear tales of how experiments have undergone particular statistical rites: the attainment of the elusive crossover interaction, the demonstration of full mediation through Baron and Kenny’s sacred procedure, and so on. DSN has nothing against...
In baseball, what are the chances the winner will win again against the same opponent the very next day?
INCENTIVES TO STATE PROBABILITIES OF BELIEF TRUTHFULLY We have all been there. You are running an experiment in which you would like participants to tell you what they believe. In particular, you’d like them to tell you what they believe to be the probability that an event will occur. Normally, you would ask them....
NEW YORK TIMES STORY ON THE APPEAL OF R (click to view movie) It is no secret that Decision Science News is crazy about the R language for statistical computing. Find out why R is so great in this New York Times article. Then start to teach yourself R with our short series of...
SIMPLE WAYS TO DETECT AND COMMUNICATE STATISTICAL EFFECTS Decision Science News is fond of heuristics and the Simonian view that for many problems organisms face, optimization is a fiction and satisficing makes us smart. Statistics is an area in which it is easy to see precision that isn’t there and find “optima” in problems...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).