Hi,
In ANOVA 1-way, when the factor level variances are unequal, you can use
1) F approximations (Welch or Brown Forsyhte). Theses approximations are
something similar to the Satterwaihte's t-test approximation
2) a nonparametric test (Kruskal-Wallis)
Francis PEREE
Thomas Souers [EMAIL
On 14 Feb 2002 17:14:24 -0800, [EMAIL PROTECTED] (Thomas Souers)
wrote:
TS
I have another question regarding one-way ANOVA. I have noticed
that in some books, nothing is said about what you can do when the
factor level variances are unequal. In Neter's big book,
transformations are
and will you not, by this approach, wind up making a _lot_ of pairwise comparisions,
with all the implications that have recently been disucssed even here at edstat?
Messing with weakly formed data rarely strethens it. I love some transformations, but
take them for what they are.
Jay
Hello,
I have another question regarding one-way ANOVA. I have noticed that in some books,
nothing is said about what you can do when the factor level variances are unequal. In
Neter's big book, transformations are recommended. If the data are approximately
normal, why not just use a
Subject: homogeneity of variance
Hello,
I have another question regarding one-way ANOVA. I have noticed that in some books,
nothing is said about what you can do when the factor level variances are unequal. In
Neter's big book, transformations are recommended. If the data are approximately
