Category Archives: statistical modeling

A frustrating discussion

I’m not totally sure what my opinion of Data Colada is. It’s an odd mix of thought-provoking and frustrating. The most recent example is yesterday’s post (by Uri Simonsohn) on the prejudice of (one particular type of) Bayesian t-test. Directly … Continue reading

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More thoughts on GRT wIND

Since yesterday’s post on GRT wIND, I’ve been thinking quite a bit about the model. I am now reasonably confident I know why the two models I simulated didn’t produce identical data, my intuition still tells me that the model is over-parameterized, and I … Continue reading

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A critical assessment of GRT wIND

I’ve blogged about GRT (General Recognition Theory) at least a few times before (e.g., here, here, here). The third of those links goes to an introductory GRT post (#1 of an unknown number of planned posts). Here’s the super-abbreviated version: GRT … Continue reading

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A partially problematic paragraph

I just read an interesting new paper (Hoekstra, et al., 2014) on how people – even those with substantial training in inferential statistics – consistently misinterpret confidence intervals (CIs). Reading this paper got me thinking about CIs in general, and I’ll probably … Continue reading

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