http://spssx-discussion.165.s1.nabble.com/time-series-repeated-measure-spss-analysis-tp5725738p5725767.html
Since you have much Missing, one of the first things you should look
at is whether the amount of Missing (or which ones) is associated with
lower/higher scores, or with any of the demographic data. If it is not
Missing At Random, then you have extra limitations on what you might
try to infer. If data are complete through #4, then it *might* be worthwhile
to focus attention on that first half; is that sensible and justifiable? - It
would avoid the problems that arise from arguing around the Missing.
Since you seem to have several treatments, you probably don't have much
power for comparisons, in general. (The proper time to Ask a Statistician
is throughout the design phase. Just saying.) So you should probably
figure on how to do a convincing job of Exploratory Analysis.
I raised questions before of what you expected for change - overall,
linear, etc. You have not described that, nor have you mentioned what
the DVs are so that we could apply our own experience in making guesses.
Was the study justified by prior hypotheses? In particular, WHAT?
Why are there several DVs? Are they equally important, or should they
be used to create a composite outcome of Success?
--
Rich Ulrich
> Date: Thu, 1 May 2014 08:53:13 -0700
> From:
[hidden email]> Subject: Re: time series/repeated measure spss analysis
> To:
[hidden email]>
> Rich, There are actually several IV's of interest: Number and Type of
> treatment and several demographic variables. The main question is do
> measures of the repeated assessments change based on the IV's. What analysis
> would you recommend for this type of data?
>
> I do have quite a bit of missing data though. For example, I was looking at
> one repeated measure and all cases had at least 4 times of being assessed on
> it, then it starts to drop with 3/4's having been assessed 5 times, then 1/2
> 6 times, etc. all the way to only 4 cases measured 8 times. I'm not quite
> sure as to how to handle this in an analysis.
>
>
>
> --
> View this message in context: http://spssx-discussion.1045642.n5.nabble.com/time-series-repeated-measure-spss-analysis-tp5725738p5725758.html
> Sent from the SPSSX Discussion mailing list archive at Nabble.com.
>
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