All this talk about p-values for LME and mcmc reminds me of an old question. To compare the sizes of the coefficients within a single ordinary linear regression model, we can standardize them (by multiplying each by sd(x)/sd(y)) and look at the difference in their sizes. But we're not allowed to test whether this difference is statistically significant. I don't know enough math to know why not.
Why couldn't we test the null hypothesis by resampling? Compute the standardized regression coefficients for each new sample, and count how many samples show a difference at least as large as the difference for the actual data. Is there any literature on this? Any a priori objections? -- James Myers Graduate Institute of Linguistics National Chung Cheng University 168 University Road, Min-Hsiung Chia-Yi 62102 TAIWAN _______________________________________________ R-lang mailing list [email protected] https://ling.ucsd.edu/mailman/listinfo.cgi/r-lang
