I want to compute linear model based repeatability of a behaviour using intraclass correlation coefficient (the proportion of the total variance accounted for by the interindividual differences).
Equation= variance explained by individual id/ variance explained by individual id + residual variance
I made the model
j1 <- lmer(boldnessj~ assay +
(1|id), data=juvenile)
The output
Groups Name Variance Std.Dev.
id (Intercept) 0.2817 0.5308
Residual 0.7155 0.8459
Number of obs: 120, groups: id, 60
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.10301 0.25362 81.54591 0.406 0.686
assay -0.05997 0.15444 59.00000 -0.388 0.699
Correlation of Fixed Effects:
(Intr)
assay -0.913
can I use this model for finding the repeatability of specified behaviour? because p value for the assay is not significant.
is the model good for estimating repeatability