On 28 Feb 2002 07:37:16 -0800, [EMAIL PROTECTED] (Brad Anderson)
wrote:
Rich Ulrich [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]...
On 27 Feb 2002 11:59:53 -0800, [EMAIL PROTECTED] (Brad Anderson)
wrote:
BA
I have a continuous response variable that ranges from 0 to
Rolf Dalin [EMAIL PROTECTED] wrote:
Brad Anderson wrote:
I have a continuous response variable that ranges from 0 to 750. I only
have 90 observations and 26 are at the lower limit of 0,
What if you treated the information collected by that variable as really
two variables, one
[EMAIL PROTECTED] (Eric Bohlman) wrote in message
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Rolf Dalin [EMAIL PROTECTED] wrote:
IIRC, your example is exactly the sort of situation for which Tobit
modelling was invented.
Considered that (actually estimated a couple of Tobit models and if I
use
Rich Ulrich [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]...
On 27 Feb 2002 11:59:53 -0800, [EMAIL PROTECTED] (Brad Anderson)
wrote:
I have a continuous response variable that ranges from 0 to 750. I
only have 90 observations and 26 are at the lower limit of 0, which is
At 07:37 AM 2/28/02 -0800, Brad Anderson wrote:
I think a lot of folks just run standard analyses or arbitrarily apply
some normalizing transformation because that's whats done in their
field. Then report the results without really examining the
underlying distributions. I'm curious how folks
On 27 Feb 2002 14:14:44 -0800, [EMAIL PROTECTED] (Dennis Roberts) wrote:
At 04:11 PM 2/27/02 -0500, Rich Ulrich wrote:
Categorizing the values into a few categories labeled,
none, almost none, is one way to convert your scores.
If those labels do make sense.
well, if 750 has the
At 04:11 PM 2/27/02 -0500, Rich Ulrich wrote:
Categorizing the values into a few categories labeled,
none, almost none, is one way to convert your scores.
If those labels do make sense.
well, if 750 has the same numerical sort of meaning as 0 (unit wise) ... in
terms of what is being
Brad Anderson wrote:
I have a continuous response variable that ranges from 0 to 750. I only
have 90 observations and 26 are at the lower limit of 0,
What if you treated the information collected by that variable as really
two variables, one categorical variable indicating zero or non-zero
