David --
Logistic Regression is more appealing to some
folks since
it maps the Predicted values into the range
0-1.
If you do a least-squares regression predicting a
0-1
dependent variable, the predicted values may not
be
mapped into 0-1 (e.g. some predicted values may
be < 0
and some
subscribe edstat-L Vadim Abbakoumov
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Scheltema, Karen <[EMAIL PROTECTED]> wrote:
> I've read several times on this listserve comments from people that when
> p(y) is not extreme, a logistic regression model can be estimated by a
> linear regression model.
Some references cited by Harvey (1982): also BF&H
Harvey WR (1982). Least
On 17 Mar 2001 19:54:27 -0800, [EMAIL PROTECTED] (Will Hopkins)
wrote:
> I just thought of a new justification doing the usual parametric analyses
> on the numbered levels of a Likert-scale variable. Numbering the levels
> is formally the same as ranking them, and a parametric analysis of a
Jerry Dallal <[EMAIL PROTECTED]> wrote:
>It is frustrating to keep getting errors when I try to access a
>printable version of the report, whether by using IE or Netscape.
>Is there a known workaround?
Yes, it's called Opera:
http://www.operasoftware.com
==
On Fri, 16 Mar 2001 23:40:07 -, [EMAIL PROTECTED] (Jerry
Dallal) wrote:
>FWIW, for large samples, 0.1% in the unexpected tail
>corresponds to a t statistic of 3.09. I'd love to
>be a fly on the wall while someone is explaining to
>a client why that t = 3.00 is non-significant! :-)
What
Ben Kenward wrote:
> My girlfriend is researching teaching methods using a questionnaire, and she
> has answers for questions in the form of numbers from 1 to 5 where 5 is
> strongly agree with a statement and 1 is strongly disagree. She is proposing
> to do a t-test to compare, for example, ma
