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Research Digest: Thinking about Statistics

  1. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs [http://journal.frontiersin.org/article/10.3389/fpsyg.2013.00863/full]
  2. Understanding the Role of P Values and Hypothesis Tests in Clinical Research [http://jamanetwork.com/journals/jamacardiology/article-abstract/2566171]
  3. At what sample size do correlations stabilize? [http://www.sciencedirect.com/science/article/pii/S0092656613000858]
  4. Robust correlation analyses: false positive and power validation using a new open source Matlab toolbox [http://journal.frontiersin.org/article/10.3389/fpsyg.2012.00606/full]
  5. Multiple statistical tests: Lessons from a d20 [https://f1000research.com/articles/5-1129/v2]
  6. How to become a Bayesian in eight easy steps: An annotated reading list [https://www.researchgate.net/publication/301981861_How_to_become_a_Bayesian_in_eight_easy_steps_An_annotated_reading_list]
  7. Charting the future of social psychology on stormy seas: Winners, losers, and recommendations [http://www.sciencedirect.com/science/article/pii/S002210311600007X]

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