@ericozkan1 Here you go! I was lucky to find something.
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Asians is a heterogeneous category in the US, changed over time, and may include not actual Asians (MEMAPs, Indians).
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More UK: practical assessment of clinical examination skills (PACES). Nice of them to hide the specific non-whites https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2596701/ …pic.twitter.com/4gyxjLyf9q
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And so on. Not hard to find more of these. Gaps are real ~everywhere, so they show up in exams (non-linear transformations ) too.pic.twitter.com/UetcT2I2YN
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Same in education, too... though they just do away with the test if they don't get politically correct results:http://www.chalkbeat.org/posts/ny/2017/03/13/new-york-officials-vote-to-eliminate-controversial-literacy-exam-for-prospective-teachers/ …
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I recommend le Griffe du Lion's writings. They and Jensen's got me on track for understanding this topic. http://www.lagriffedulion.f2s.com/
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No idea. Hard to find that detailed data.
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Data are already collected for sure, but getting access to them is not so easy. By all means, try writing some big collectors and ask.
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"Dear data collector. We'd like to see how many extra patients are harmed by malpractice due to your racial discrimination in hiring."
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Try FOIA requests.
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Predictive validity seems off; evidence seems to indicate that medical outcomes from woman doctors are equal or better
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It's common to find women doing better than test scores predict. They have some other personality advantages. Shows up like predictive bias.
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Same is seen for SAT for predicting college GPA, as I recall. Here's a simulation. http://emilkirkegaard.dk/understanding_statistics/?app=test_bias_omitted_variable_bias …
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Yeah I agree re SAT, but my recollection (which plausibly totally wrong) is this goes away when adding school performance to the regression
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It is an article of faith, not science
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