Are standard errors equivalent or somehow comparable to the increase in standard deviations? Using other words do standard errors play the same role in terms of regression coefficients as standard deviation in terms of mean scores? Thank you
Sample variance is only an asymptotically unbiased estimator of population variance: the former consistently underestimates the latter by the factor of (n - 1) / n, where n is sample size. I do not know what algorithm Mplus uses, but I would assume that Monte Carlo artificially increased your n resulting in a better estimate.
Here's an online explanation that I like: http://www.graphpad.com/guides/prism/6/statistics/index.htm?stat_semandsdnotsame.htm, This may help.
Dear Gordon, the link you provided is for standard errors pertaining to means and SDs. Is there anything similar for standard errors and regression coefficients? Thank you
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