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Intraclass correlation coefficient (ICC) measures how much quantitative values are similar or associated within groups. There exist several versions and alternative formulations of ICC. The correlation is used to assess a dataset clusteredness, agreement among raters and in other settings.
1
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Is high ICC essential when using HLM?
Nezlek (2008) on p.857 puts forward a case that
analysts should use multilevel modeling when they have a multilevel data structure – pure and simple. When I am asked for advice regarding whether or n …
15
votes
2
answers
915
views
ICC as expected correlation between two randomly drawn units that are in the same group
In multilevel modelling the intraclass correlation often gets calculated from a random-effects ANOVA
$$ y_{ij} = \gamma_{00} + u_j + e_{ij} $$
where $u_j$ are the level-2 residuals and $e_{ij}$ are th …
6
votes
1
answer
10k
views
What's the difference between concordance correlation and intraclass correlation?
I understand there are various formulae for calculating an intraclass correlation, and various formulae for calculating a concordance correlation. Is there something that all intraclass correlations h …
1
vote
1
answer
932
views
Random Intercept Model: Will including Level 1 predictors necessarily reduce ICC?
Heck et al (2013) describe a process of building multilevel models that makes use of the concept of intraclass correlation (ICC).
They recommend calculating the ICC from a random-effects ANOVA
FIRST …
2
votes
1
answer
300
views
Using a Fixed-Effects ANOVA to help decide whether to conduct a multilevel analysis
Heck et al (2013) write that
Generally, the first step in a multilevel analysis is partitioning the
variance (referred to as $\sigma^2$) in an outcome variable into
its within- and between-gr …