Date:         Tue, 28 Jun 2005 12:30:42 +0200
Reply-To:     Marta García-Granero
              <biostatistics@terra.es>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Marta García-Granero
              <biostatistics@terra.es>
Organization: Asesoría Bioestadística
Subject:      Re: how to analyse teams?
In-Reply-To:  <42C0F60A.6070504@tm.tno.nl>
Content-Type: text/plain; charset=ISO-8859-1

Hi Anja,

You have a nested factor: team is nested within condition

Assuming score is continuous (or at least ordinal, and you are willing
to rely on the robustness of ANOVA models):

DATA LIST FREE/condition team score.
BEGIN DATA
1 1 1 1 1 2 1 2 3 1 2 4 1 3 5 1 4 6 1 4 7
1 4 8 1 5 9 1 5 3 1 6 4 1 6 5 1 7 6 1 7 7
1 8 8 1 8 9 1 9 10 1 9 11 1 10 9 1 10 10
1 11 11 1 11 12 1 12 13 1 12 14 2 1 10
2 1 11 2 2 12 2 2 13 2 3 14 2 4 15 2 4 16
2 4 17 2 5 18 2 5 8 2 6 9 2 6 10 2 7 11
2 7 9 2 8 10 2 8 11 2 9 12 2 9 13 2 10 14
2 10 10 2 11 11 2 11 12 2 12 13 2 12 14
END DATA.

UNIANOVA
  score  BY condition team
  /RANDOM = team
  /METHOD = SSTYPE(3)
  /INTERCEPT = INCLUDE
  /CRITERIA = ALPHA(.05)
  /DESIGN = condition team(condition) .

* Or *.

MIXED
  score  BY condition team
  /FIXED = condition       | SSTYPE(3)
  /METHOD = REML
  /RANDOM team(condition)  | COVTYPE(VC) .

AL> What is recently the best way to analyse data of  teams?
AL> Suppose my data looks like this:

AL> 1 between variable, say 'condition'
AL> 1 dependent, say 'score'

AL> In each condition there are 12 teams, each team has 2 teammembers

HTH,
 Marta                            mailto:biostatistics@terra.es