"curious whats going on here hmmm"https://twitter.com/NickWolfinger/status/1103403311577718784 …
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that is to say, your R^2 = 0.48 probably includes a substantial effect from AFQT (or whatever that proxies) simply mediated by those other, plausibly-downstream variables so getting only a 0.02 R^2 increase from adding it doesn't mean its explanatory power is so limited
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the other issue is that unless you're being extremely aggressive about model specification and didn't mention it, your RE panel is not going to pick up the full plausible explanatory power of your variables in the way that a more flexible model class would
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