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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 vote

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 …
user1205901 - Слава Україні's user avatar
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 …
user1205901 - Слава Україні's user avatar
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 …
user1205901 - Слава Україні's user avatar
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 …
user1205901 - Слава Україні's user avatar
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 …
user1205901 - Слава Україні's user avatar