Wen-Feng--
Briefly --
1. While planning your experimental design, state your research questions in
"natural language"-- before you start collecting data.
2. Create a Prediction/Regression/Linear Model that allows you to translate
your "natural language"
research questions in terms of your Model -- your ASSUMED MODEL.
You may need to cycle through this process several times to get an
appropriate model.l
3. Impose Restrictions implied by your research questions on your ASSUMED
MODEL to obtain your RESTRICTED MODEL.
4. Compare your ASSUMED and RESTRICTED MODELS.
You can do much PLANNING BEFORE YOU BEGIN YOUR COLLECTION AND ANALYSES.
----
If some high school students can do it, I feel confident that you can do it,
too.
But be careful! If your committee members can't do it, then you may not
"pass".
-- Joe
**************************************************************************
Joe Ward Health Careers High School
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Email: [EMAIL PROTECTED]
http://www.ijoa.org/joeward/watdindex.html
----------------------------------------------------------------------------
----- Original Message -----
From: "Wen-Feng Hsiao" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Wednesday, June 28, 2000 10:10 AM
Subject: Novice questions about regression analysis.
> Dear listers,
>
> I am stuck with the experiment design of my dissertation. My experiment
> would like to investigate the influences of different factors of stimuli
> on the subject's response (each factor is a continuous variable), and
> further build a regression model for these relations. My questions are:
>
> 1. It seems that no experiment-design issues related to Regression
> Analysis are discussed in the usual statistics textbook. Why? Does it
> mean one needn't consider the experiment design if he uses Regression
> Analysis to analyze his data?
>
> 2. Due to the measure of the dependent variable is the participants'
> subjective responses, to remove unrelated subject-specific variables, I
> am considering to employ a within-subject design. But there seems no
> statistical packages ready for dealing with within-subject design of
> Regression Analysis?
>
> Suppose a design in which each of the n subjects gives rise to a Y
> observation under each of c different conditions, then a total of N=ncY
> observations could be obtained. How can I use Regression Analysis to
> analyze these observations?
>
> Thanks for your help.
>
> Wen-Feng
>
>
>
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This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT COMPLAIN TO
THE POSTMASTER about these messages because the postmaster has no
way of controlling them, and excessive complaints will result in
termination of the list.
For information about this list, including information about the
problem of inappropriate messages and information about how to
unsubscribe, please see the web page at
http://jse.stat.ncsu.edu/
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