Why big effects are more important than small effects

Statistical Modeling, Causal Inference, and Social Science 2013-03-15

Summary:

The title of this post is silly but I have an important point to make, regarding an implicit model which I think many people assume even though it does not really make sense. Following a link from Sanjay Srivastava, I came across a post from David Funder saying that it’s useful to talk about the [...]

Link:

http://andrewgelman.com/2013/03/01/why-big-effects-are-more-important-than-small-effects/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

decision theory miscellaneous science multilevel modeling causal inference

Authors:

Andrew

Date tagged:

03/15/2013, 12:48

Date published:

03/01/2013, 09:34