Posts Tagged ‘ Methods/Statistics ’

Preemptive Review Comments

February 14, 2013
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I link to and briefly discuss the paper "Rookie Mistakes," recently published in PS.

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Preemptive Review Comments

February 14, 2013
By

I link to and briefly discuss the paper "Rookie Mistakes," recently published in PS.

Read more »

The Problem with Testing for Heteroskedasticity in Probit Models

February 12, 2013
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The Problem with Testing for Heteroskedasticity in Probit Models

A friend recently asked whether I trusted the inferences from heteroskedastic probit models. I said no, because the heteroskedastic probit does not allow a researcher to distinguish between non-constant variance and a mis-specified mean function. In particular, my friend had a hypothesis that the variance of the latent outcome (commonly called "y-star") should increase with an [...]

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Is Significance Significant?

February 5, 2013
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Justin Esarey has a post up on his blog about the amount of information contained in a statistically significant result. I offer my quick thoughts and reactions.

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Learning New Methods: Just-in-Time or Just-in-Case

January 21, 2013
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Matt Dickenson has an interesting new post up at his blog that discuss strategies for learning new skills. You will never be dumber than you are right now. You will also never have more time than you do right now. Thus, you have a relative abundance of time and a relative dearth of knowledge. How [...]

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The Prevalence of Hypotheses of "No Effect"

January 16, 2013
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I've been actively arguing for a while now that political scientists often want to test hypotheses of "no effect" or "no meaningful effect" but don't do so in a compelling manner. (See blog posts here here, here, and here. Also see this project page, this poster, these slides, and this working paper.)  Today, I'd like to briefly argue that [...]

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Software Signals

January 7, 2013
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This blog post by Sean Taylor generated quite a stir. He discussed the signals one sends by using certain software packages and seems to think that R users are more competent. The reactions ranged from amusement to bashing. In defense of hard to learn statistical tools, i.e. #rstats prsm.tc/gyTBRK <- pretty funny 'who uses what [...]

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What Are Your Favorite Methodology and Statistics Blogs?

January 6, 2013
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I recently searched for a list of the "top statistics blogs" or the "top methodology blogs" and I couldn't find a recent compilation. This contrasts with visualization blogs, which are relatively easily to find (e.g. top visualization blogs). I've decided to initiate the provision of this public good, but would like to draw on others' [...]

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Top Posts of 2012

December 31, 2012
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This has been a great year for my blog. I've seen tremendous growth in my subscribers. I look forward to engaging with and learning from my followers in 2013 and I plan to offer valuable content in return. If you're interested in following along, you can quickly subscribe via RSS or e-mail. I use Google [...]

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Another Example of Causal Creep

December 5, 2012
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I examine a good example of a writer admitting that data do not provide any compelling causal evidence, but then interpreting the results in a totally causal manner.

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