It seems to be a mixed ANCOVA with a within-subjects factor called
"Location", a between-subjects factor called "Group" and a covariate
"Age". I think that the GLM command in PSPP is not able to compute such
an analysis. GLM can only compute between-subjects designs in PSPP (cf.
PSPP manual, p. 143).
Am 12.10.2018 um 21:48 schrieb Werner LEMBERG:
I just responded to your statements about the relations between CIs
and hypothesis test that a CI is *not* always associated with a
hypothesis. The equations I mentioned were only examples for a
confidence interval and its equivalent hypothesis test. [...]
Thanks a lot to all who have responded. I must add that I'm not only
a PSPP novice, my knowledge of (and, admittedly, my interest in)
statistics in general is very small. I'm basically looking for
statistical recipes that I can apply.
What I actually want to do is to replace the mediocre PDF output of
SPSS (which my daughter was using to create images for her MD thesis –
I don't know SPSS and she has no longer access to it, so there is no
chance to improve the created bar diagrams directly) with the route
.SAV file -> PSPP -> CSV -> LaTeX pgfplots
mainly to be able to recreate the diagrams programmatically, without
using a GUI (I guess that R would be probably a better choice for that
purpose, but I don't know this either).
In other words I'm just poking with a stick in the dark...
Here is the command that her group was using on SPSS.
GLM Var1 Var2 Var3 BY Group WITH Age
/WSFACTOR=Location 3 Polynomial
/METHOD=SSTYPE(3)
/PLOT=PROFILE(Group*Location)
TYPE=BAR ERRORBAR=CI MEANREFERENCE=NO
/PRINT=DESCRIPTIVE ETASQ
/CRITERIA=ALPHA(.05)
/WSDESIGN=Location
/DESIGN=Age Group.
[There are two groups, with approx 15 cases each.]
The diagram shows bars for the mean values of Var{1,2,3} together with
error bars indicating the CI.
Werner
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