[From the blog “Misinterpreting Tests, P-Values, Confidence Intervals & Power” by Dave Giles, posted at his blogsite, Econometrics Beat] “Today I was reading a great paper by Greenland et al. (2016) that deals with some common misconceptions and misinterpretations that arise not…

Read More[This blog is based on the paper “Pitfalls of significance testing and p-value variability: An econometrics perspective” by Norbert Hirschauer, Sven Grüner, Oliver Mußhoff, and Claudia Becker, Statistics Surveys 12(2018): 136-172.] Replication studies are often regarded as the means to…

Read More[From the article, “The effect of the conservation reserve program on rural economies: Deriving a statistical verdict from a null finding” by Jason Brown, Dayton Lambert, and Timothy Wojan, recently published in the American Journal of Agricultural Economics] “This article suggests…

Read More[From the paper, “Perceived Crisis and Reforms: Issues, Explanations, and Remedies”, authored by Paul De Boeck and Minjeong Jeon, published in the July issue of Psychological Bulletin] “…we believe that the OSC [Open Science Collaboration] study allows us to obtain…

Read More[From the working paper, “How Often Should We Believe Positive Results? Assessing the Credibility of Research Findings in Development Economics” by Aidan Coville and Eva Vivalt] Over $140 billion is spent on donor assistance to developing countries annually to promote…

Read MoreObserved power (or post-hoc power) is the statistical power of the test you have performed, based on the effect size estimate from your data. Statistical power is the probability of finding a statistical difference from 0 in your test (aka…

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