I would consider it a unipolar extent scale Maybe the visual anchor should be
0 to 6 to aid association with the number line concept
Dennis Roberts wrote:
At 01:39 PM 2/27/02 -0600, Jay Warner wrote:
Not stressful 1__ 2__ 3__ 4__ 5__ 6__ 7__ Very stressful
just out of curiosity how
DMR, I should have read your previous posting more carefully I have now had
coffee
Not stressful 1__ 2__ 3__ 4__ 5__ 6__ 7__ Very stressful
is a question that has an extent response format The cognitive schema the
response format tries to invoke might be reinforced by anchoring with zero for
On 27 Feb 2002 15:01:24 -0800, [EMAIL PROTECTED] (Dennis Roberts) wrote:
At 01:39 PM 2/27/02 -0600, Jay Warner wrote:
Not stressful 1__ 2__ 3__ 4__ 5__ 6__ 7__ Very stressful
just out of curiosity ... how many consider the above to be an example of a
bipolar scale?
i don't
now, if we
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
I'm trying to find a good introduction to REML (restricted maximum
likelihood). I'm a biologist rather than a statistician. If you have any
suggestions I'd great appreciate hearing them. Thanks.
--
Dr Jonathan Newman
St. Peter's College, New Inn Hall Street,
At 09:51 AM 2/28/02 -0800, Jay Tanzman wrote:
I partially did this, insofar as I ran Pearson and Spearman correlations
between
several of the scales and, not surprisingly, the two correlation coefficients
and their p-values were similar. that issue is entirely a separate
one since the rank
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
In article [EMAIL PROTECTED],
Glen [EMAIL PROTECTED] wrote:
Chia C Chong [EMAIL PROTECTED] wrote in message
news:a5g27d$e57$[EMAIL PROTECTED]...
Hi!
I have a set of random numbers and if I know their expectation/mean, would
it be possible to deduce a PDF to describe the distribution of them?
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I know that robust regression can downweight outliers Should someone
apply robust regression when the data have skewed distributions but do not
have outliers? Regression assumptions require normality of residuals, but
not the normality of raw scores So does it help at all to use robust
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