If you have SPSS CATEGORIES you can use CATREG ((nonlinear) regression

for categorical variables). If you choose nominal scaling level for the

independent variables, the result is identical to result of linear

regression with dummy variables. If you have ordered categorical

variables you can choose ordinal scaling level.

Anita van der Kooij

Data Theory Group

Leiden University

-----Original Message-----

From: SPSSX(r) Discussion [mailto:

[hidden email]] On Behalf Of

Laurie Petch (sent by Nabble.com)

Sent: 04 August 2006 17:25

To:

[hidden email]
Subject: Re: Defining categorical variables

I am also interested in this topic as I am currently working on a

meta-analysis. I plan to use regression analysis to explore the effects

of various study characteristics on the effects sizes. Many of the

independent variables are categorical (e.g. theoretical orientation of

the interventions). I have assigned numbers to all the categories.

I read: "The predictor variables can be dichotomous...Categorical

variables can, of course, be "dummy" coded as a set of dichotomous

variables, one less than the number of categories (Cohen & Cohen, 1975)"

(Lipsey & Wilson, 2001 p. 138)

If anyone can tell me how to go about this, using SPSS, I would be very

grateful.

Thanks!

Laurie

References

---------------

Cohen, J. & Cohen, P. (1975). Applied multiple regression/ correlation

analysis for the behavioural sciences. Hillsdale, NJ: Lawrence Erlbaum.

Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Thousand

Oaks: Sage.

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