Do you have ANSWERTREE from SPSS available to you? It is has techniques
designed for this kind of question.
www.spss.com
Art
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Social Research Consultants
University Park, MD USA
(301) 864-5570
Edith Reagan wrote:
>I would grateful for some advice. I have inherited a project in which the
>dataset consists of 52 variables and 780 results. The variables are
>clinical indicators, and are a mixture of binary and ordinal responses.
>There are no missing values. The dataset covers 7 tumour types. The object
>is to select those variables that "best" characterise each type and then
>use these to develop a "scale" to predict tumour type. I have considered
>cluster or factor analysis and even discriminant analysis based on random
>sampling from the dataset. Unfortunatley my stats degree did not include a
>real world problem such as this. Can anybody recommend any particular
>technique or suitable references? I have been using Everitt as my prime
>reference.
>Many thanks,
>Edith
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