- What is a large effect size? In the Huffington Post, Robert Slavin educational research and finds average effect sizes differ depending on whether the sample size is small or large, and non-experimental (matching) or randomized – and comes up with the table below. The average effect size for a randomized evaluation on a large sample is 0.11 S.D. compared to 0.32 S.D. for a matching-based evaluation on a small sample. He suggests effect sizes therefore need to be “graded on a curve”, with what constitutes big depending on the method of evaluation and the size of the sample.(Although also recall our posts on the problems of using S.D. to compare effect sizes in the first place).
- From VoxEU – a potentially low-cost way to help job-seekers- give them automated, personalized advice on what other types of jobs to search for based on their initial preferred occupation - this helped Scottish unemployed get more job interviews.
- Michael Kremer’s guide to conducting field research in developing countries (note: the hyperlink seems to be having trouble, here is the full link: instructure-uploads.s3.amazonaws.com/account_18750000000000001/attachments/1352977/Michael Kremer Conducting_Field_Research__PART_1 151026.pdf?AWSAccessKeyId=AKIAJFNFXH2V2O7RPCAA&Expires=1457727947&Signature=hF14bn5c%2FuxWwqkzRoNwJ4li0Bo%3D&response-content-disposition=attachment%3B%20filename%3D%22Michael%20Kremer%20Conducting_Field_Research__PART_1%20151026.pdf%22%3B%20filename%2A%3DUTF-8%27%27Michael%2520Kremer%2520Conducting%255FField%255FResearch%255F%255FPART%255F1%2520151026.pdf )
- The American Statistical Association’s new statement on p-values including “Scientific conclusions and business or policy decisions should not be based only on whether a p-value passes a specific threshold” and “A p-value, or statistical significance, does not measure the size of an effect or the importance of a result.”
- Humans of Papua New Guinea
- Call for papers: population, reproductive health, and economic development conference at IFPRI.
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