I have data that shows how many days during the pandemic, kids visited their friends. Overall, the number of days boys and girls visited their friends is significantly different. How may I test to see which interval categories are different as a post-hoc test? I am interested in 4 comparisons: girls 1-10d with boys 1-10d, girls 11-20d with boys 11-20d, girls 21-30d with boys 21-30d, and girls 31+ with boys 31+
Thanks
proc surveyfreq data =&data nosummary; tables gender*visiting_friends_dpYear/ nostd nocellpercent row row(cl) chisq; weight weight_var; run;
The SURVEYFREQ Procedure
Gender
visiting_friends_dpYear
Frequency
Weighted Frequency
Row Percent
95% Confidence Limits for Row Percent
Girls
1-10
474
417.9
33.4
30.0
36.8
11-20
239
210.0
16.8
14.1
19.5
21-30
201
198.7
15.9
13.2
18.5
31+
411
423.9
33.9
30.3
37.5
Total
1325
1250.5
100.0
Boys
1-10
291
349.3
23.0
19.9
26.1
11-20
248
354.9
23.4
20.1
26.6
21-30
213
347.1
22.9
19.4
26.4
31+
336
465.9
30.7
26.9
34.5
Total
1088
1517.1
100.0
Total
1-10
765
767.1
11-20
487
564.9
21-30
414
545.7
31+
747
889.8
Total
2413
2767.6
Rao-Scott Chi-Square Test
Pearson Chi-Square
52.7567
Design Correction
1.7674
Rao-Scott Chi-Square
29.8491
DF
3
Pr > ChiSq
<.0001
F Value
9.9497
Num DF
3
Den DF
7236
Pr > F
<.0001
Sample Size = 2413
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