Hello,
Is there a widely accepted cut-off value for the Intraclass Correlation Coefficient (ICC) to determine whether there is substantial between-group variance, indicating a significant clustering effect?
Best,
Not to my knowledge. Any "cut-off" value would be completely arbitrary. Even small ICCs can lead to substantial distortion of standard errors and Type-I error rates. Therefore, clustering should be taken into account in statistical analyses whenever ICC > 0 .
Yes, there are general guidelines for interpreting the Intraclass Correlation Coefficient (ICC) that are widely accepted in many fields, particularly in the context of determining whether there is substantial between-group variance or a significant clustering effect. However, it's important to note that these guidelines can vary slightly depending on the specific discipline and context of the study.
The ICC ranges from 0 to 1, where:
ICC close to 0 indicates little to no between-group variance (i.e., groups are relatively homogeneous, or individual measurements are largely due to within-group variance).
ICC close to 1 suggests that most of the variance is between groups, indicating a strong clustering effect or between-group variance.
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