|
From: Tim Dunsworth:MET
Date: ## 09/10/98 09:15 ##
Previous comments:
From: Tim Dunsworth:MET
Date: ## 09/10/98 09:14 ##
Comparable in what sense? It may be that the higher states are band
hotbeds so this is a real effect that needs to be considered in
future analyses. And if you plan analyses of score vs predictors (eg.
band budget, school size, etc) high states may be high precisely
because they are high on these predictors, in which case your
proposed normalization would undermine any hope opf seeing those
predictor relationships. Think carefully about what you are trying to
achieve before proceding. If you have some good reason to think that
high states just have scoring inflation, you might proceed as you
proposed, or you might do analyses as an ANOVA with states as the
categorical factor and predictors as covariates, or ...? HTH.
From: mmhewitt@FLASH.NET:smtp
Date: ## 09/10/98 04:49 ##
I have 250 marching bands' scores from 10 different states. All scores are
based on 100 points and are similar in format, but when I run an ANOVA to
compare the means, they show statistical differences among them. Would it
be valid and/or reliable to convert the scores to z-scores for each state
to make them comparable with one another?
Thanks
--
Mike Hewitt
University of Arizona
mmhewitt@flash.net
|