Hi all,
I am trying to calculate 95% limits of agreement, rather than using bias +/- 1.96 SD I have read that using bias +/- 1.96 (Squareroot of 2 x mean square error from ANOVA) is a better approach as this accounts for heteroscedasticity, would i be right in assuming this and just to double check the mean square errors are the "mean square sphericity assumed" under the within-subjects output of SPSS?
Any help would be hugely appreciated!
Thanks in advance!
I am trying to calculate 95% limits of agreement, rather than using bias +/- 1.96 SD I have read that using bias +/- 1.96 (Squareroot of 2 x mean square error from ANOVA) is a better approach as this accounts for heteroscedasticity, would i be right in assuming this and just to double check the mean square errors are the "mean square sphericity assumed" under the within-subjects output of SPSS?
Any help would be hugely appreciated!
Thanks in advance!
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