Statistics are just tools. Using the best tool for the job is what's
being discussed here.
If a statistical technique is more powerful than another, models the
data on it's natural scale, and can do all of the things ANOVA can do
why not use it. That would, at least to me, seem a much more
This is an interesting discussion.
Why do we want to put a square peg into a round hole? So despite the
fact that ANOVA is robust to all of these problems with normality and
variance heterogeneity, why use it in this case? There are lots of
techniques for modeling ordinal or categorical
In addition to using track changes, you can insert comments about the
writing at specific places. This gets rid of the 'accept all changes'
problem and would require the student to read all of the comments and
make decisions about which ones they agree with and ones that they
don't.
Cheers,
There is more to it if you follow the link.
http://www.nsta.org/pressroomnews_story_ID=52959
It doesn't quite answer the equality question but there is more
information.
Cheers,
Sean
On Nov 29, 2006, at 5:45 AM, William Silvert wrote:
The text of the response is short so I will quote it
