Re: Repeated measures in large data set

Posted by Rich Ulrich on Nov 19, 2013; 9:30pm
URL: http://spssx-discussion.165.s1.nabble.com/Repeated-measures-in-large-data-set-tp5723115p5723167.html

The loading you look at are the ones in the factor structure matrix,
which has the item-to-factor correlations.  The matrix before rotation
will yield the largest factor as the overall total score, reflecting the
generally-positive correlations among items on a scale.  The second
factor will be "bipolar" in the sense of tending to have one set of high
correlations that are positive, and another set that are negative.

--
Rich Ulrich

> Date: Sat, 16 Nov 2013 15:00:56 -0500

> From: [hidden email]
> Subject: Repeated measures in large data set
> To: [hidden email]
>
> I have a date set with approximately 1,000,000 people. Medication usage was
> recorded monthly throughout one calendar year (i.e. each person has 12 time
> points). The variables are numeric and refer to dosage.
> I'm interested in comparing use across time, between two different regions and
> three different groups. I've run Repeated Measures models with factors and
> interactions. Everything is significant because the n is so large. Is there a
> better way to do this? The differences between months are very small but all
> pairwise comparisons are significant. How do I know which are meaningful?
> (I'm particularly interested in comparing one month to the preceding and
> following months).
>
> Thanks!
> ...