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Re: st: Sample size for maximum likelihood estimates


From   dk <statad27@googlemail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Sample size for maximum likelihood estimates
Date   Thu, 11 Aug 2011 18:04:05 +0200

Thanks for the replay.

On Thu, Aug 11, 2011 at 5:57 PM, Maarten Buis <maartenlbuis@gmail.com> wrote:
> On Thu, Aug 11, 2011 at 5:20 PM, dk wrote:
>> Take example If, my dependent variable is respondent go for purchasing
>> x product or not. I have response 60 % purchase and 40 % do not
>> purchase. Then is it possible to use 20 explanatory variables.
>
> That still depends on the distribution of your explanatory variables
> (low variance means less power which means more observations are
> needed), the correlations between these variables (higher correlations
> means less power which means more observations are needed) and whether
> or not these include interaction terms (interaction terms mean less
> power which means more observations are needed). I am sorry, there
> really is no generic answer to your question.
>
> -- Maarten
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
>
> http://www.maartenbuis.nl
> --------------------------
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