| Date: | Tue, 17 Jan 2006 07:43:16 -0500 |
| Reply-To: | Kijoeng Nam <kijoeng@GMAIL.COM> |
| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
| From: | Kijoeng Nam <kijoeng@GMAIL.COM> |
| Subject: | SAS program (about HLM) |
| Content-Type: | text/plain; charset=ISO-8859-1 |
Hello,
What I'd like to assess is change in 3 variables (a, b, c) over time by
group( 0: invention,
1: control), adjusting for gender ( 1: female, 0: male) .
Always, thanks
-----------------------------
data test;
input ParticipantID $ a b c group gender;
datalines;
W001 33.69642857 3.571428571 0 1 1
W002 33.91071429 0.142857143 2.142857143 1 1
W003 32.58928571 0.714285714 0.428571429 0 1
W004 33.28571429 0.714285714 0.714285714 1 1
W005 31.73214286 0.428571429 0 0 1
W006 35.64285714 0.571428571 4.071428571 0 1
W007 35.25 2 2.785714286 0 1
W008 38.57142857 2.857142857 5.857142857 0 1
W009 34.32142857 3.714285714 0 1 0
W010 42.60714286 5.142857143 9.642857143 0 1
W011 34.57142857 1.142857143 2.142857143 0 1
W012 36.25 6.571428571 0.357142857 0 1
W013 35.91071429 2 4.5 0 1
W014 34.80357143 1.571428571 2.142857143 1 1
W015 34.92857143 1.571428571 2.928571429 0 0
W016 32.32142857 0.428571429 0.214285714 0 1
W017 31.39285714 0.285714286 0 0 1
W018 36.66071429 5.285714286 1.571428571 1 1
W019 34.375 0.714285714 2.571428571 1 1
W020 36.55357143 5.571428571 0.857142857 1 1
W021 34.48214286 1.571428571 1.642857143 0 1
W022 35.19642857 1 3.071428571 1 1
W023 38.25 5.571428571 3.571428571 0 0
W024 41.64285714 4.285714286 7.714285714 0 1
W025 32.375 1.428571429 0 0 1
W026 32.48214286 0 0.214285714 0 1
W027 37.375 1.428571429 5.357142857 1 1
;
run;
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