I am trying to run a simple reliability analysis on a dataset. There is one rater (a vertical jump machine), 12 subjects (id) and 3 trials for each measurement (trial_num). I'd like to run a two-way, mixed-effect model with absolute agreement and 1 rater. But when I run the following code for each variable, I get the output that says "number of raters: 3". I want 1 rater. The file is below. The code I was using for the measurements was (this example mass):

##icc trial_mass id trial_num, mixed absolute

My question:
Am I doing this correctly? If so, why does the output state, "number of raters = 3"

Thanks so much for any help



Code:
* Example generated by -dataex-. For more info, type help dataex
clear
input float id byte trial_num float(trial_mass trial_max_vertical_jump_height trial_jumpheightin trial_weightlb)
 1 1  84.57809 .56535256 22.302954 186.46275
 1 2  84.95605  .5680401 22.618944   187.296
 1 3  84.99895 .55363834 21.868334 187.39063
 2 1 100.26184 .39130875 15.775138  221.0395
 2 2 100.25306   .378609 15.065652 221.02017
 2 3  99.80279  .3566728 14.255203  220.0275
 3 1 100.53568  .4381121 17.478779 221.64323
 3 2 100.43395  .4327689 17.207268 221.41896
 3 3 100.18822  .4359472 17.354591  220.8772
 4 1  73.96666  .3827422 15.253942 163.06856
 4 2  73.80708  .3963084 15.960067 162.71677
 4 3  73.77235  .3828004   15.3741  162.6402
 5 1  63.44285  .3730977  15.02799 139.86754
 5 2  63.19592  .3947114 15.716672 139.32315
 5 3  63.26389 .38132685 15.283814   139.473
 6 1  84.95241  .4295206 17.267824   187.288
 6 2  85.64352  .4136767 16.590279 188.81165
 6 3  85.55541   .410433 16.302185  188.6174
 7 1  112.7546  .3559773  14.18249 248.58133
 7 2 112.41522   .346472  13.70214 247.83313
 7 3 112.46645  .3411824 13.527913 247.94608
 8 1  89.78938  .4905796 19.822495  197.9517
 8 2  91.74284  .4653954 18.490026 202.25833
 8 3  91.17175  .4658659 18.526012  200.9993
 9 1  87.65997  .4683681  18.68028 193.25716
 9 2   87.9024  .4702503 18.700102 193.79163
 9 3  88.32197  .4611177 18.205156  194.7166
10 1  80.26067   .463775  18.30828  176.9445
10 2  80.36559  .4670442  18.57144  177.1758
10 3  80.81774  .4265247 17.043653  178.1726
11 1  91.89381  .3217529 12.865891  202.5912
11 2  91.58101  .3212434 12.822665 201.90155
11 3  91.57702  .3173118  12.61827 201.89276
12 1  70.98322  .3498859  13.95046 156.49123
12 2  71.17576  .3494379 14.272867  156.9157
12 3  71.19571  .3366549 13.532935 156.95967
end
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