Posts Tagged ‘ Miscellaneous Science ’

How can statisticians help psychologists do their research better?

May 17, 2013
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I received two emails yesterday on related topics. First, Stephen Olivier pointed me to this post by Daniel Lakens, who wrote the following open call to statisticians: You would think that if you are passionate about statistics, then you want to help people to calculate them correctly in any way you can. . . . [...]The post How can statisticians help psychologists do their research better? appeared first on Statistical…

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Cleaning up science

May 5, 2013
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David Hogg pointed me to this post by Gary Marcus, reviewing this skeptics’ all-star issue of Perspectives on Psychological Science that features replication culture heroes Jelte Wicherts, Hal Pashler, Arina Bones, E. J. Wagenmakers, Gregory Francis, Hal Pashler, John Ioannidis, and Uri Simonsohn. I agree with pretty much everything Marcus has to say. In addition [...]

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Cleaning up science

May 5, 2013
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David Hogg pointed me to this post by Gary Marcus, reviewing this skeptics’ all-star issue of Perspectives on Psychological Science that features replication culture heroes Jelte Wicherts, Hal Pashler, Arina Bones, E. J. Wagenmakers, Gregory Francis, Hal Pashler, John Ioannidis, and Uri Simonsohn. I agree with pretty much everything Marcus has to say. In addition [...]The post Cleaning up science appeared first on Statistical Modeling, Causal Inference, and Social Science.

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The blogroll

April 29, 2013
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The blogroll

I encourage you to check out our linked blogs. Here’s what they’re all about: Cognitive and Behavioral Science BPS Research Digest: I haven’t been following this one recently, but it has lots of good links, I should probably check it more often. There are a couple things that bother me, though. The blog is sponsored [...]The post The blogroll appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Time-Sharing Experiments for the Social Sciences

April 27, 2013
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James Druckman and Jeremy Freese write: We are pleased to announce that Time-Sharing Experiments for the Social Sciences (TESS) was renewed for another round of funding by NSF starting last Fall. TESS allows researchers to submit proposals for experiments to be conducted on a nationally-representative, probability-based Internet platform, and successful proposals are fielded at no [...]The post Time-Sharing Experiments for the Social Sciences appeared first on Statistical Modeling, Causal Inference,…

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Recently and not-so-recently in the sister blog

April 9, 2013
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Recently and not-so-recently in the sister blog

Pushback from the elites Insides and essences: Early understandings of the non-obvious The post Recently and not-so-recently in the sister blog appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Likelihood Ratio ≠ 1 Journal

March 22, 2013
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Likelihood Ratio ≠ 1 Journal

Dan Kahan writes: The basic idea . . . is to promote identification of study designs that scholars who disagree about a proposition would agree would generate evidence relevant to their competing conjectures—regardless of what studies based on such designs actually find. Articles proposing designs of this sort would be selected for publication and only [...]

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Recently in the sister blog

March 16, 2013
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Recently in the sister blog

1. New Italian production of Life on Mars. 2. Psychological essentialism in everyday thought.

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Watership Down, thick description, applied statistics, immutability of stories, and playing tennis with a net

March 5, 2013
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Watership Down, thick description, applied statistics, immutability of stories, and playing tennis with a net

For the past several months I’ve been circling around and around some questions related to the issue of how we build trust in statistical methods and statistical results. There are lots of examples but let me start with my own career. My most cited publications are my books and my methods papers, but I think [...]

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Why big effects are more important than small effects

March 1, 2013
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Why big effects are more important than small effects

The title of this post is silly but I have an important point to make, regarding an implicit model which I think many people assume even though it does not really make sense. Following a link from Sanjay Srivastava, I came across a post from David Funder saying that it’s useful to talk about the [...]

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