Hi, I have a data set of 3784 participants (no missing data) who answered 16 General Human papillomavirus (a disease) knowledge items.  As an example (HPV is rare) These items were asked as true, false and I don't know. I want to examine how many factors should be retained. I conducted an exploratory factor analysis (see below). My results indicate 1 factor (by looking at eigenvalues >1, and the scree plot). This is great, as we were hoping for unidemniolnality of this scale I am wondering if I should try a rotation ? I believe a rotation is not appropriate since I have 1 factor Thanks, Samara proc factor data=WORK.A method=principal nfactor=16 heywood scree; var Q28A Q28B Q28C Q28D Q28E Q28F Q28G Q28H Q28I Q28J Q28K Q28L Q28M Q28N Q28O Q28P; run ... View more

Hi, I have a data set of 3784 participants (no missing data) who answered 16 General Human papillomavirus (a disease) knowledge items.  As an example (HPV is rare) These items were asked as true, false and I don't know. I want to examine how many factors should be retained. I conducted an exploratory factor analysis (see below). My results indicate 1 factor (by looking at eigenvalues >1, and the scree plot). This is great, as we were hoping for unidimensionality of this scale I am wondering if I should try a rotation ? I believe a rotation is not appropriate since I have 1 factor Thanks, proc factor data=WORK.A method=principal nfactor=16 heywood scree; var Q28A Q28B Q28C Q28D Q28E Q28F Q28G Q28H Q28I Q28J Q28K Q28L Q28M Q28N Q28O Q28P; run ... View more

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