Re: Three-Way Anova Post Hoc Comparisons

Posted by Joost van Ginkel on Jan 11, 2011; 10:33am
URL: http://spssx-discussion.165.s1.nabble.com/Three-Way-Anova-Post-Hoc-Comparisons-tp3336188p3336215.html

Try this (only available through syntax):

UNIANOVA Y BY A B C
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /EMMEANS=TABLES(A) COMPARE ADJ(LSD)
  /EMMEANS=TABLES(B) COMPARE ADJ(LSD)
  /EMMEANS=TABLES(C) COMPARE ADJ(LSD)
  /EMMEANS=TABLES(A*B) COMPARE (A) ADJ(LSD)
  /EMMEANS=TABLES(A*B) COMPARE (B) ADJ(LSD)
  /EMMEANS=TABLES(A*C) COMPARE (A) ADJ(LSD)
  /EMMEANS=TABLES(A*C) COMPARE (C) ADJ(LSD)
  /EMMEANS=TABLES(B*C) COMPARE (B) ADJ(LSD)
  /EMMEANS=TABLES(B*C) COMPARE (C) ADJ(LSD)
  /EMMEANS=TABLES(A*B*C) COMPARE (A) ADJ(LSD)
  /EMMEANS=TABLES(A*B*C) COMPARE (B) ADJ(LSD)
  /EMMEANS=TABLES(A*B*C) COMPARE (C) ADJ(LSD)
  /CRITERIA=ALPHA(.05)
  /DESIGN=A B C A*B A*C B*C A*B*C.

Good luck!

Best Regards,

Joost van Ginkel

Joost R. van Ginkel, PhD
Leiden University
Faculty of Social and Behavioural Sciences
PO Box 9555
2300 RB Leiden
The Netherlands
Tel: [phone]
Fax: [phone]


-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
komakino0
Sent: Tuesday, January 11, 2011 11:19 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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omparisons-tp3336188p3336188.html
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