|Date: ||Sun, 24 Jun 2007 23:25:19 -0700|
|Reply-To: ||David L Cassell <davidlcassell@MSN.COM>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||David L Cassell <davidlcassell@MSN.COM>|
|Subject: ||Re: How To .......?|
|Content-Type: ||text/plain; format=flowed|
> Hope this is the right forum to ask this ...... I'm an MSc Applied
>Stats student and hope to use data from the project I am employed in for my
>thesis/project. Just wondering ...... should I do multivariable analysis or
>logistic? Is there a "gold standard" when analysing data for academic
Well, I guess this is a reasonable choice of forum.
There is no gold standard in analysis. You should know this by now.
The choice of analysis should be made based on your data, your
meta-data, your process, your overall goals, your data scope, your
hypothesis tests, ....
Logistic regression is typically a multivariate process, so I guess you are
asking about multivariate techniques like cluster anlaysis, factor analysis,
PCA, PLS, and so on. There is no magic rule that says "use cluster
analysis here and use factor analysis there". You just have to study
the data and figure out what questions need to be answered.
If your major prof has a bee in his bonnet about one particular type
of analysis, I would recommend that you focus on that, instead of
getting yourself in trouble with him from the start.
David L. Cassell
3115 NW Norwood Pl.
Corvallis OR 97330
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