On Apr 19, 2010, at 10:08 AM, Tal Galili wrote:
Good luck in your work,
The simple solution would be to run many non-paired wilcox on all
the 20
questions (the way Dieter suggested).
In which case, make sure to adjust for multiple comparisons. Read
about it,
and see:
?p.adjust
If you have some questions you can merge (by a simple mean of them),
it will
probably do you good (using PCA might be an option, but it could
also be an
over kill for you).
You might also be interested in plotting your data, here is a nice
simple
hack on how to display the Correlation scatter-plot matrix for your
data:
http://www.r-statistics.com/2010/04/correlation-scatter-plot-matrix-for-ordered-categorical-data/
And Dieter, thanks for a great quote: "Assess independence,
equalvariance
and normality -in that order" (van Bell, Statistical rules of thumb)."
If you are thinking of using that quote, you might want to check the
spelling of his name. My memory is van Belle.
--
David.
Tal
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On Mon, Apr 19, 2010 at 2:07 PM, Mona_m
<purplem...@blueyonder.co.uk> wrote:
Hi,
I have just found this forum, and it looks like a great place to
get some
help (I hope)
For my dissertation, which is due way too soon, I am doing a survey,
comparing attitudes of 2 independent groups, with 5 scale likert
questions.
Basically I want to show if they have similar or different
attitudes. I am
testing 4 hypotheses, and have in total about 20 questions.
I have to say my statistic skills are very basic and very rusty, we
had
some
lectures two years ago, where we were introduced to R. I looked
through my
notes, and back then we did a one sample t-test to analyse likert
type
questions. I believe I would need to do a 2 sample unpaired t-
test. It
would be great if someone could give me some feedback if this test
is the
most suitable one for my purpose, and maybe could explain to me
whatÂ’s the
easiest way to do this in R?
You would help me loads!!
Many thanks in advance
Mona
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David Winsemius, MD
West Hartford, CT
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