(From the video at the end of the post)Guest post by Jeff Mosenkis of Innovations for Poverty Action Oxfam releases a report around the same time as Davos every year on who owns what portion of global wealth. Their spin on it is designed to make headlines, but Dylan Matthews explains why it’s really hard to measure.Also in Vox, Stephanie Wykstra provides a nice plain-language summary of what the research says about microloans. A very cool very cross randomized experiment (more than 50...
Read More »Andrew Gelman — Gaydar and the fallacy of objective measurement
Stripping a phemenon of its social context, normalizing a base rate to 50%, and seeking an on-off decision: all of these can give the feel of scientific objectivity—but the very steps taken to ensure objectivity can remove social context and relevance. Statistical Modeling, Causal Inference, and Social ScienceGaydar and the fallacy of objective measurementAndrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University
Read More »Genetics as an Omitted Variable in Psychology and Social Science
Here’s the abstract of an article by Frank Schmidt in the Archives of Scientific Psychology: Governments often base social intervention programs on studies done by psychologists and other social scientists.Often these studies fail to mention other research suggesting that such interventions may have a limited chance of actually working. The omitted research that is not mentioned often shows that the behaviors and performances targeted for improvement by...
Read More »I feel like this is something that most social scientists can…
[unable to retrieve full-text content]I feel like this is something that most social scientists can relate to… (See more on economistsdoitwithmodels.com.)
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