Dear Stephen, You can run this with unequal n. Look at variances to see how much they violate the homogeneity assumption. Another idea: Choose a random set of 15 cases from the normal group. Check it their mean matches the mean of the total normals. If so, then run an ANOVA with 11, 15 and 17.
Stuart ______________________________________________ Stuart J. McKelvie, Ph.D., Department of Psychology, Bishop's University, Route 108 East, Borough of Lennoxville, Sherbrooke, Québec J1M 1Z7, Canada. E-mail: [EMAIL PROTECTED] Phone: (819)822-9600, Extension 2402 Fax: (819)822-9660 Bishop's Psychology Department Web Page: http/:www.ubishops.ca/ccc/dev/soc/psy __________________________________ > -----Original Message----- > From: Steven Specht [mailto:[EMAIL PROTECTED] > Sent: Monday, May 15, 2006 3:26 PM > To: Teaching in the Psychological Sciences (TIPS) > Subject: [tips] stats help > > I recently conducted a survey from which I have two small subsets (n=11 > and n=17) meeting certain criteria which I would like to compare to > the rest of the "normal" responses (n=103). Will such disparate sample > sizes be "taken care of" with a "regular" ANOVA? Any suggestions would > help. Thanks. > -S > > > > ======================================================== > Steven M. Specht, Ph.D. > Associate Professor of Psychology > Utica College > Utica, NY 13502 > (315) 792-3171 > > "Mice may be called large or small, and so may elephants, and it is > quite understandable when someone says it was a large mouse that ran up > the trunk of a small elephant" (S. S. Stevens, 1958) > > > --- > To make changes to your subscription go to: > http://acsun.frostburg.edu/cgi-bin/lyris.pl?enter=tips&text_mode=0&lang=english --- To make changes to your subscription go to: http://acsun.frostburg.edu/cgi-bin/lyris.pl?enter=tips&text_mode=0&lang=english
