I don't think that PSPP can produce bar charts with confidence intervals
or something similar (bar charts for means aren't the best idea
anyway). I think it is only possible to split the data file to compare
groups and then calculate confidence intervals for the mean for these
groups.
Comman
> 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 m
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.
> 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 re
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.
BTW: It's not safe to always use z instead
This is a good point, yes. I'm not the original requester, but I think they
were really asking for a simple way to get a CI when reporting
summary/descriptive statistics (without having a second mean to compare
to). In SPSS you can do this:
https://en.wikibooks.org/wiki/Using_SPSS_and_PASW/Confiden
A confidence interval is mathematically equivalent to its corresponding
hypothesis test. The hypothesis test is significant if the corresponding
confidence interval does not contain the parameter value of the null
hypothesis. The confidence interval does not contain the parameter value
of the n
I think John is saying that in SPSS/PSPP you need to use a statistical
function to generate statistical results like a CI. For example, T-TEST
will produce a 95% CI for the mean difference in independent-samples
t-tests. Other routines may provide other confidence intervals.
But maybe you want to
I unfortunately don't know enough about PSPP syntax to suggest how to do
this, but a CI is *not* always associated with a hypothesis and can be
calculated from just a mean and SD (and a cumulative distribution function,
which is typically the normal one). Typically the formula is something like:
m
The confidence interval is a concept associated with a hypothesis.
If it's the confidence interval on the test for a mean value, typically you
would get that by using a T-Test.
On Fri, Oct 12, 2018 at 10:40:22AM +0200, Werner LEMBERG wrote:
Folks,
I would like to get
Folks,
I would like to get a 95% confidence interval so that I could use it
in AGGREGATE, e.g.,
AGGREGATE OUTFILE * MODE ADDVARIABLES
/BREAK=...
/Mean = mean(V)
/CI = ci(V, 0.95)
What must I do to get the result of my hypothetical `ci' function?
I'm a PSPP novice, so maybe there
11 matches
Mail list logo
