worth adding that significant variables aren’t automatically good for understanding either http://jakewestfall.org/publications/ivy.pdf …https://twitter.com/russpoldrack/status/664496223395557376 …
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Replying to @talyarkoni
@talyarkoni Good that someone wrote about that problem. I had also noticed it before, but never wrote anything about it.1 reply 0 retweets 1 like -
Replying to @KirkegaardEmil
@KirkegaardEmil epidemiologists call it “residual confounding" (see our paper for refs), but hasn’t been discussed in psychology@CookieSci1 reply 0 retweets 2 likes -
Replying to @talyarkoni
@talyarkoni@CookieSci The implication for discriminant validity analysis is probably one of the reasons for rampant construct proliferation1 reply 0 retweets 0 likes -
Replying to @KirkegaardEmil
@KirkegaardEmil@CookieSci no doubt. “we need this new measure because it captures error differently from all the other existing measures."1 reply 0 retweets 1 like -
Replying to @talyarkoni
@talyarkoni@CookieSci That was one thing that bothered me about your paper. The subjective temperature ratings errors would correlate IRL.2 replies 0 retweets 0 likes
@talyarkoni @CookieSci Just in the example given, the calculations took "shared error" into account ("delta").
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