Interesting. Data source? Engle's group finds a stronger association with more fluid intelligence measures: http://englelab.gatech.edu/2016/Tsukahara,%20Harrison,%20and%20Engle_2016.pdf …
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Work in progress. Data is VES, n≈4400. https://www.cdc.gov/nceh/veterans/default1c.htm … We will be releasing this as an open dataset for all. :)
@Kane_WMC_Lab -
I was lazy and only used AFQT for this, but will use g factor from ~20 tests later. http://rpubs.com/EmilOWK/VES_dataset_paper …
@Kane_WMC_Lab -
Maybe unreliable pupil var? What's your regression of pupil size on IQ? 1 SD in IQ -> .45 mm in earlier study.
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Read the link and you will see that left eye x right eye is r = .97.
@pnin1957@Kane_WMC_Lab -
That seems like a strong indication of unreliability, given how common anisocoria is: https://en.wikipedia.org/wiki/Anisocoria
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The unstandardized regression slope would be interesting as measurement error in DV doesn't bias it.
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I guess you can examine that when the data comes out. :) It is only intended to showcase the dataset.
@pnin1957@Kane_WMC_Lab - 5 more replies
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weird, this found a quite higher correlation http://www.sciencedirect.com/science/article/pii/S0010028516300585 … I thought >250 N was ok to avoid fluctuation like this
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Let me moderator games begin! Their measures are more fluid, mine is AFQT. But I have fluids too.
@SilverVVulpes
End of conversation
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