http://spssx-discussion.165.s1.nabble.com/analyzing-change-for-one-dichotomous-variable-assessed-at-pre-and-post-tp5688136p5688798.html
> I have a situation where I have one variable, smoking yes/no, taken at pre
> then taken at post, few years later. n ~70. same participants at both pre
> and post. the possible combinations are
>
> smoking pre post
> y y
> n n
> y n
> n y
>
> goal is to determine if the percentage of participants who changed from Y
> smoking at pre to N smoking at post is significant.
>
> I don't think any sophisticated analysis has to be conducted. I would simply
> assign the four possible outcomes to four categories (y - y, n - n, y - n, n
> - y) and then run a chi-square to determine if the observed frequency counts
> of those four categories are different from the expected frequency counts.
> there is no post-hoc test, so I would have to heuristically examine which
> categories have the most deviance.
>
> are there any analyses that could be conducted?
> thank you in advance.
> pj
>
> --
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