search for: icc1

...d to get a between-component variance (e.g. random effects Anova), but using lmer I don't get the same results (variance component) than using random effects Anova. I am using a database of students, clustered on schools (there is not the same number of students by school). According to the ICC1 command, the interclass correlation is .44 > ICC1(anova1) [1] 0.4414491 However, I cannot get the same ICC from the lmer output: > anova2 <- lmer(math ~ 1 + (1|schoolid), data=nels88) > summary(anova2 <- lmer(math ~ 1 + (1|schoolid), data=nels88)) Linear mixed model fit by REM...

Hi R users: Is there a function to obtain the correlation within groups from this very simple lme model? > modeloMx1 Linear mixed-effects model fit by REML Data: barrag Log-restricted-likelihood: -70.92739 Fixed: fza_tension ~ 1 (Intercept) 90.86667 Random effects: Formula: ~1 | molde (Intercept) Residual StdDev: 2.610052 2.412176 Number of Observations: 30 Number

...reas others may even have ratings by up to 5 judges. My problem is that I don't see how I can use the icc or ICC functions for determining the icc's these groups, since icc/ICC require that all groups have the same number of judges (as far as I understand). Alternatively, I could report the ICC1 and ICC2 (in the multilevel package), but these are different from the Shrout & Fleiss ones, and we would like to be consistent. (of course, I know that not all 6 icc's apply in every case, but we would like to stay within the Shrout & Fleiss framework and then report the relevant icc)....