Hi Fleur-Michelle,
Chi-square will tell you about the distribution of your sample (for
instance, is the ratio of males to females in your sample the same as
you'd expect in the normal population) but not the relationship to
future outcomes. I think regression is more appropriate, and multinomial
logistic regression appears to fit the bill (although I'm not
experienced with it myself).
Brian
On 12/Oct/2010 08:58, Fleur-Michelle Coiffait wrote:
> Hi all
>
> I am analysing some data derived from routine information collected via a screening form, which has twelve 'risk factors' on it that get ticked if present (e.g. substance misuse, domestic abuse, etc). I am trying to look at whether the presence of any of these risk factors is related to three 'outcome' categories (no further service involvement, service X involvement, or social work involvement). I had initially thought about doing a Chi square analysis, but came across multinomial logistic regression and wondered if this might be more appropriate? Or are neither of these suitable analyses for this kind of data?
>
> I realise this may be a really silly question, but any advice/clarification would be much appreciated.
>
> Many thanks,
> Fleur-Michelle
> _________________
> Fleur-Michelle Coiffait
> Trainee Clinical Psychologist
> University of Edinburgh& NHS Lothian
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