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 Thomas Souers wrote: > 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 Satterthwaite approximate t-statistic for >pairwise comparisons? For example, you could use a Bonferroni type procedure. What >are people's opinions about this approach? > > Thanks > > Check out Cupid School where you will learn from Matchmaker's > best and brightest. Good Luck! > > http://ecard.matchmaker.com/cupid0202/cupid0202.html > > ================================================================= > Instructions for joining and leaving this list, remarks about the > problem of INAPPROPRIATE MESSAGES, and archives are available at > http://jse.stat.ncsu.edu/ > ================================================================= -- Jay Warner Principal Scientist Warner Consulting, Inc. 4444 North Green Bay Road Racine, WI 53404-1216 USA Ph: (262) 634-9100 FAX: (262) 681-1133 email: [EMAIL PROTECTED] web: http://www.a2q.com The A2Q Method (tm) -- What do you want to improve today? ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =================================================================
