jkaufman comments on 2013 Survey Results - Less Wrong
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This sounds plausible, but from looking at the data, I don't think this is happening in our sample. In particular, if this were the case, then we would expect the SAT scores of those who did not submit IQ data to be different from those who did submit IQ data. I ran an Anderson–Darling test on each of the following pairs of distributions:
The p-values came out as 0.477 and 0.436 respectively, which means that the Anderson–Darling test was unable to distinguish between the two distributions in each pair at any significance.
As I did for my last plot, I've once again computed for each distribution a kernel density estimate with bootstrapped confidence bands from 999 resamples. From visual inspection, I tend to agree that there is no clear difference between the distributions. The plots should be self-explanatory:
(More details about these plots are available in my previous comment.)
Edit: Updated plots. The kernel density estimates are now fixed-bandwidth using the Sheather–Jones method for bandwidth selection. The density near the right edge is bias-corrected using an ad hoc fix described by whuber on stats.SE.
Thanks for digging into this! Looks like the selection bias isn't significant.