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Hi Kelly, Jeremy is correct. Check to see if KMO is .50 and above, and Bartlett's test should be significant. Dwayne > Date: Tue, 24 May 2011 11:55:47 -0700 > From: [log in to unmask] > Subject: Re: Factor analysis question > To: [log in to unmask] > > Hi Kelly, > > It's a confusing area, but I agree with Richard and Brian: you almost > certainly don't have enough cases. However, check your KMO, and > Bartlett's test. If your KMO is good, you could argue that you do. > > Jeremy > > > > On 24 May 2011 05:05, Kelly Tate <[log in to unmask]> wrote: > > Hi, > > > > > > > > I have produced a correlation matrix of some questionnaire data and notice > > that there exist several significant correlations amongst the questionnaire > > items. I am considering running an exploratory factor analysis on this data > > set, however I am concerned that my sample size is not adequate. There seem > > to be numerous ideas out there about what constitutes a large enough sample > > size for factor analysis, with some researchers suggesting that is it more > > about the ratio of sample size/ variables measured. My data consists of 65 > > participants who each completed an 11 item questionnaire, does anyone have > > an opinion on whether this number is sufficient to produce a meaningful > > factor analysis? > > > > > > > > Thanks in advance > > > > > > > > Kelly Tate > > > > PhD researcher > > > > Univeristy of Manchester > > > > School of Psychological Sciences > > > > > > > > Sustainable Consumption Institute > > > > http://www.sci.manchester.ac.uk/ > > > > > > > > -- > Jeremy Miles > Support Dan and Alex's school: Vote for Goethe Charter School to > receive a grant from Pepsi to help build a library: > http://www.refresheverything.com/gicslibrary