proc freq - agree option for matched pairs

[kc]

I have a health status scale measured at 2 different timepoints (baseline and 1 month) with 5 different response levels (0-4). I want to see if there is a statistically significant difference in within group change from baseline to the 1 month time point for each of these response levels. My questions are as follows:

1. Am I using the right code to accomplish this task?

2. If so, which statistics do I report to highlight if the difference is significant?

3. Finally, I think the procedure below gives an overall p-value and not a level-by-level p-value and statistics. How do I test a level         by level difference between baseline and 1 month response? Like the difference between response level 0 between baseline and     1 month.

I am running the following proc freq code (analogous to paired t-test for continous variables):

proc freq data=health;
tables hs_BASELINE*hs_1_MONTH / agree norow nocol nopercent;
run;

The result is as follows:

SAS Output

Frequency

Table of hs_BASELINE by hs_1_MONTH hs_BASELINE hs_1_MONTH 0 1 2 3 4 Total 0 327 55 25 12 17 436 1 236 100 37 17 14 404 2 140 66 42 21 22 291 3 106 39 36 14 21 216 4 62 38 33 30 67 230 Total 871 298 173 94 141 1577 Frequency Missing = 325

Statistics for Table of hs_BASELINE by hs_1_MONTH

Test of Symmetry
Statistic (S)	328.8670
DF	10
Pr > S	<.0001

Kappa Statistics
Statistic	Value	ASE	95% Confidence Limits
Simple Kappa	0.1402	0.0139	0.1130	0.1674
Weighted Kappa	0.2379	0.0171	0.2044	0.2714

Effective Sample Size = 1577
Frequency Missing = 325

WARNING: 17% of the data are missing.

[Ksharp]

Was it repeated measure problem ?

Check PROC CATMOD for contingency table.

Especially the example in its documentation.