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SAS Code Fragment: 
Computing Intraclass Correlation

* This is based on the example from Winer Page 288

data test;
 input score1 score2 score3 score4 pid;
cards;
2 4 3 3 1
5 7 5 6 2
1 3 1 2 3
7 9 9 8 4
2 4 6 1 5
6 8 8 4 6
;
run;

proc glm data=test;
  class pid;
  model score1 score2 score3 score4 = pid / nouni;
  repeated judge 4;
run;

----------------------------------

The GLM Procedure
Repeated Measures Analysis of Variance
Tests of Hypotheses for Between Subjects Effects

Source                      DF     Type III SS     Mean Square    F Value    Pr > F

pid                          5     122.5000000      24.5000000        .       .
Error                        0        .               .

The GLM Procedure
Repeated Measures Analysis of Variance
Univariate Tests of Hypotheses for Within Subject Effects

                                                                                    Adj Pr > F
Source                     DF    Type III SS    Mean Square   F Value   Pr > F    G - G    H - F

judge                       3    17.50000000     5.83333333       .      .        .        .
judge*pid                  15    18.50000000     1.23333333       .      .        .        .
Error(judge)                0     0.00000000      .

----------------------------------------

* You can then take the output from above and use the
* formulas on page 288 and 289 for computing the intraclass correlation.

You may also wish to see http://ftp.sas.com/techsup/download/stat/intracce.html 

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