Posted by
Beckstead, Jason on
Jan 13, 2011; 8:12pm
URL: http://spssx-discussion.165.s1.nabble.com/Three-Way-Anova-Post-Hoc-Comparisons-tp3336188p3340386.html
If you know the MANOVA procedure, I believe that it will alow you to specify everything you need.
Below is syntax for class example for 3-way design that should be helpful
TITLE 3-WAY EXAMPLE; SEE MAXWELL & DELANEY PP.397-398.
DATA LIST FREE /1 VALUE SLFMTR ARGMNT SOURCE.
BEGIN DATA.
4 1 1 1
3 1 1 1
4 1 1 1
5 1 1 1
2 1 1 1
5 1 1 1
4 1 1 1
6 1 1 1
3 1 1 1
4 1 1 1
5 1 1 1
4 1 1 1
4 1 1 2
4 1 1 2
2 1 1 2
3 1 1 2
5 1 1 2
3 1 1 2
2 1 1 2
3 1 1 2
4 1 1 2
3 1 1 2
2 1 1 2
4 1 1 2
3 1 2 1
5 1 2 1
3 1 2 1
2 1 2 1
6 1 2 1
4 1 2 1
4 1 2 1
3 1 2 1
5 1 2 1
3 1 2 1
2 1 2 1
3 1 2 1
5 1 2 2
5 1 2 2
7 1 2 2
5 1 2 2
6 1 2 2
4 1 2 2
3 1 2 2
5 1 2 2
6 1 2 2
7 1 2 2
7 1 2 2
6 1 2 2
3 2 1 1
5 2 1 1
5 2 1 1
4 2 1 1
3 2 1 1
2 2 1 1
1 2 1 1
5 2 1 1
3 2 1 1
4 2 1 1
3 2 1 1
4 2 1 1
5 2 1 2
4 2 1 2
3 2 1 2
2 2 1 2
4 2 1 2
6 2 1 2
2 2 1 2
4 2 1 2
4 2 1 2
3 2 1 2
4 2 1 2
3 2 1 2
5 2 2 1
6 2 2 1
4 2 2 1
7 2 2 1
6 2 2 1
7 2 2 1
5 2 2 1
6 2 2 1
4 2 2 1
6 2 2 1
7 2 2 1
5 2 2 1
6 2 2 2
4 2 2 2
4 2 2 2
2 2 2 2
4 2 2 2
5 2 2 2
4 2 2 2
3 2 2 2
4 2 2 2
2 2 2 2
3 2 2 2
4 2 2 2
END DATA.
VALUE LABEL SLFMTR 1'HI Slf-M' 2'LO Slf-M'
/ARGMNT 1'STRONG' 2'WEAK'
/SOURCE 1'EXPERT' 2'ATTRACTV'.
GRAPH/LINE(MULTIPLE)MEAN(VALUE) BY ARGMNT BY SOURCE/INTERVAL SE(1).
GRAPH/LINE(MULTIPLE)MEAN(VALUE) BY SLFMTR BY SOURCE/INTERVAL SE(1).
GRAPH/LINE(MULTIPLE)MEAN(VALUE) BY ARGMNT BY SLFMTR/INTERVAL SE(1).
GRAPH/LINE(MULTIPLE)MEAN(VALUE) BY ARGMNT BY SOURCE/PANEL COLVAR=SLFMTR
/INTERVAL SE(1).
*QUESTION B: omnibus factorial, see SOURCE x ARGMNT interaction.
MANOVA VALUE BY SOURCE(1,2) ARGMNT(1,2) SLFMTR(1,2)
/PRINT=CELLINFO(MEANS)
/OMEANS=TABLES (SOURCE ARGMNT SLFMTR
SOURCE*ARGMNT SOURCE*SLFMTR SLFMTR*ARGMNT)
/DESIGN.
*QUESTIONS C & D: simple interactions (SxA) @ EACH LEVEL OF SLFMTR.
MANOVA VALUE BY SOURCE(1,2) ARGMNT(1,2) SLFMTR(1,2)
/DESIGN=SLFMTR SOURCE ARGMNT
SLFMTR*SOURCE SLFMTR*ARGMNT
SOURCE*ARGMNT WITHIN SLFMTR(1)
SOURCE*ARGMNT WITHIN SLFMTR(2).
*QUESTIONS F thru I: simiple-simple main effects of ARGMNT.
MANOVA VALUE BY SOURCE(1,2) ARGMNT(1,2) SLFMTR(1,2)
/DESIGN=SLFMTR SOURCE SLFMTR*SOURCE
ARGMNT WITHIN SLFMTR(1) WITHIN SOURCE(1)
ARGMNT WITHIN SLFMTR(1) WITHIN SOURCE(2)
ARGMNT WITHIN SLFMTR(2) WITHIN SOURCE(1)
ARGMNT WITHIN SLFMTR(2) WITHIN SOURCE(2).
_____________________________________________________________
Jason W. Beckstead, Ph.D.
Associate Professor/Quantitative Methodologist
University of South Florida College of Nursing
12901 Bruce B. Downs Blvd., MDC22, Tampa, FL 33612, USA
Statistical Editor, International Journal of Nursing Studies
phone: +1.813.974.7667 fax: +1.813.974.5418
personal website:
http://personal.health.usf.edu/jbeckste/ International Journal of Nursing Studies
http://www.elsevier.com/ijns-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of komakino0
Sent: Tuesday, January 11, 2011 5:19 AM
To:
[hidden email]
Subject: Three-Way Anova Post Hoc Comparisons
In my data I have three independent variables; intervention (intervention vs
control group), gender (male vs female) and country (country1, country2,
country3). I have a three way interaction and I don't know how to conduct
post hoc analyses. Basicly first I have to create a intervention-control
difference. Then, I have to do this for gender specific. Afterwards I have
to create a country specific difference for each gender specific
intervention-control difference.
The most advanced post hoc comparison I have seen is 2- way mixed design
until now. SO I don't know what to do with this 3-way post-hoc. I appreciate
even a tiny bit of help:) Thank you very much.
intervention control difference - intervention control difference
for males for females
@ country -1 @ country-2
--
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