Posted by
Maguin, Eugene on
Apr 06, 2011; 6:10pm
URL: http://spssx-discussion.165.s1.nabble.com/Model-II-regression-analysis-tp4286435p4286921.html
Let me see if in can learn something here from this. I looked at the page on
the Monterey Bay website that you cited. From that description, it sounds as
though Model II regression is concerned with predictor variables measured
with error (which, I think, is referred to as the 'errors in variables'
problem). Error that could, perhaps, be estimated by specific procedures and
estimates of that error then used to correct a correlation/covariance matrix
in an SEM analysis. Would that be a correct line of thinking?
Gene
-----Original Message-----
From: Mike Palij [mailto:
[hidden email]]
Sent: Wednesday, April 06, 2011 12:30 PM
To: Gene Maguin;
[hidden email]
Cc: Mike Palij
Subject: Re: Model II regression analysis
I'm not speaking for Hazim but "Model II" regression is a specialized
type of regression analysis. Sokal and Rohlf present and contrast
Model I (ordinary regression for prediction) and Model II (major axis
regression) in their Biometry textbook, sections of which are available
at books.google.com; see:
http://tinyurl.com/sokal-rohlfor
http://books.google.com/books?id=N6KCNw5NHNkC&pg=PA543&dq=%22model+II%22+regression+%22major+axis%22&hl=en&ei=cpKcTYTxIsSdgQeltZiZBw&sa=X&oi=book_result
&ct=result&resnum=1&ved=0CCkQ6AEwAA#v=onepage&q=%22model%20II%22%20regressio
n%20%22major%20axis%22&f=false
A brief historical presentation on the distinction is also available here:
http://www.mbari.org/staff/etp3/regress/history.htmThere are several programs and routines that use different methods
for Model II regression (stand alone and programs for MatLab and R)
but I haven't seen "ordinary least products" used.
-Mike Palij
New York University
[hidden email]
----- Original Message -----
From: "Gene Maguin" <
[hidden email]>
To: <
[hidden email]>
Sent: Wednesday, April 06, 2011 11:58 AM
Subject: Re: Model II regression analysis
> Hazim,
>
> I'm sure others on the list will know but what specifically is the
> design/meaning of an "ordinary least products"/Model II regression?
>
> Gene Maguin
>
>
>
> -----Original Message-----
> From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of
> Hazim Markos
> Sent: Wednesday, April 06, 2011 10:43 AM
> To:
[hidden email]
> Subject: Model II regression analysis
>
> Hi,
> I'm a physiologist so here comes a cry for help. I just got a paper back
> from a journal editor who prefers I use "ordinary least products"
regression
> analysis, which I've since found out is also called Model II regression
> analysis (right?). I dont want to argue with him, so I've agreed to do
this.
>
> Long story short: how do I do this type of regression in SPSS v.17???
>
> Thanks
> Hazim
>
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