Linear mixed model fit by REML ['lmerMod']
Formula: 
Score ~ 1 + (1 | Person) + (1 | Item) + (1 | RaterInItem) + (1 |  
    Person:Item)
   Data: long_data

REML criterion at convergence: 487.3

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-2.45030 -0.61295  0.08199  0.65026  1.82598 

Random effects:
 Groups      Name        Variance Std.Dev.
 Person:Item (Intercept) 0.5595   0.7480  
 RaterInItem (Intercept) 0.6475   0.8047  
 Person      (Intercept) 0.4730   0.6878  
 Item        (Intercept) 0.3253   0.5704  
 Residual                2.3803   1.5428  
Number of obs: 120, groups:  
Person:Item, 30; RaterInItem, 12; Person, 10; Item, 3

Fixed effects:
            Estimate Std. Error t value
(Intercept)   4.7500     0.4982   9.535
          grp        var1 var2      vcov     sdcor
1 Person:Item (Intercept) <NA> 0.5595499 0.7480307
2 RaterInItem (Intercept) <NA> 0.6474889 0.8046669
3      Person (Intercept) <NA> 0.4730233 0.6877669
4        Item (Intercept) <NA> 0.3253211 0.5703693
5    Residual        <NA> <NA> 2.3802862 1.5428176
[1] 0.4730233 0.3253211 0.6474889 0.5595499 2.3802862
  Items Raters Relative_Error Absolute_Error G_Coefficient
1     1     12         0.7579         1.1372        0.3843
2     2      6         0.4781         0.6948        0.4973
3     3      4         0.3849         0.5473        0.5514
4     4      3         0.3382         0.4735        0.5831
5     5      2         0.3499         0.4798        0.5748
6     6      2         0.2916         0.3998        0.6186
  Phi_Coefficient
1          0.2938
2          0.4051
3          0.4636
4          0.4997
5          0.4965
6          0.5420
