Posted by
Swank, Paul R on
Apr 04, 2011; 5:00pm
URL: http://spssx-discussion.165.s1.nabble.com/Pooled-data-and-Logistic-Regression-tp4279890p4282265.html
There are better alternatives to dichotomizing for skewed data. Generalized linear models might be an option for positively skewed data and negatively skewed can usually be converted to a positive skew easily enough. Then a Poisson or negative binomial distribution with a log link function should handle it.
Dr. Paul R. Swank,
Professor and Director of Research
Children's Learning Institute
University of Texas Health Science Center-Houston
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of jaya609
Sent: Monday, April 04, 2011 11:43 AM
To:
[hidden email]
Subject: Re: Pooled data and Logistic Regression
I know if I dichotomize and make Dvs as binary, I loose information and
power.
However, the DVs are quite skewed and there's no way around it.
In order to ask my theoretical question, running LR after dichotomize Dvs.
Is there anybody who can answer my original question regarding Pooled data
and output in SPSS LR?
--
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