As a belated follow-up to Mel Mark’s Evaluation Pie contribution to the 2011 AEA conference, we just had to share this mouthwatering gem for the amusement (and gastronomic tantalization) of evaluators around the globe …
The Venn Piagram
We got this masterpiece from flowingdata.com.
[A little late for this as a Friday Funny because
Read the whole post –> The Friday Funny: The Venn Piagram
In light of Jane’s post yesterday on Sizeless Science, it’s interesting to consider the position outlined in a policy statement in Epidemiology,the Official Journal of the International Society for Environmental Epidemiology. (Rothman, K. J. (1998). Special article: Writing for epidemiology. Epidemiology, 9(3):333–337). which argues not only for thoughtful interpretation of findings, but for not
Read the whole post –> Does testing for statistical significance encourage or discourage thoughtful data analysis?
Greetings, genuwiners! Thought I’d toss a small puzzle into the stream of discussions to start my visit.
Ideally, almost all program evaluations need to include a long term follow up, but almost none of the clients can wait for long-term results, so we rarely have the chance to provide one of these. This means
Read the whole post –> Long-term effects; what to do with them and without them
We might remember ‘regression to the mean‘ from those lists of threats to validity (in terms of causal analysis). But when is it actually likely to be a problem for genuine evaluation? In a recent post by Rebecca Goldin on the stats.org blog, “Why any ol’ diet will work (if your BMI is high
Read the whole post –> Does regression to the mean explain successful diet programs?