The six-target, four-judge worked example from Shrout and Fleiss (1979), in
the long, one-rating-per-row format that icc() consumes. Every subject is
rated by every rater (a complete, balanced two-way design), so it is the
reference case on which icc() returns the canonical coefficients
ICC(A,1) = 0.290, ICC(A,k) = 0.620, ICC(C,1) = 0.715, and
ICC(C,k) = 0.909.
Format
A data frame with 24 rows and 3 columns:
- subject
Factor with 6 levels: the target being rated (the object of measurement).
- rater
Factor with 4 levels: the judge providing the rating.
- score
Numeric rating.
Source
Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420-428. The example in their Table 2.
See also
ratings_incomplete for a connected incomplete variant.
Examples
icc(ratings, score, subject, rater, seed = 2024)
#> ── Intraclass correlation: two-way random, absolute agreement & consistency ────
#> Subjects: 6 | Raters: 4 (random) | Observations: 24 of 24 cells (complete)
#> Engine: glmmTMB (REML) | CI: 95% montecarlo (10000 draws)
#>
#> index estimate 95% CI
#> Absolute agreement
#> ICC(A,1) 0.290 [0.050, 0.711]
#> ICC(A,k) 0.620 [0.173, 0.908]
#> Consistency
#> ICC(C,1) 0.715 [0.340, 0.926]
#> ICC(C,k) 0.909 [0.673, 0.980]
#>
#> Variance components: subject 2.556, rater 5.244, residual 1.019
#> Shrout & Fleiss equivalent: ICC(A,1) = ICC(2,1), ICC(A,k) = ICC(2,k)
