[EMAIL PROTECTED] wrote:
> A self-report scale was constructed to measure work ethic and included three
> conceptually derived components of work ethic. Maximum likelihood factor
> analysis was then applied with the request of 3 factors to determine if the
> conceptually derived components actually represent empirical factors. Is
> this an appropriate/acceptable manner of evaluating the factor structure of
> the scale? Also, my version of SPSS (6.0) reports percent of variance
> accounted for by each factor, but doesn't indicate if this is common variance
> or total variance. Does someone know which variance is reported. Is maximum
> likelihood factor analysis used with either principle components or principal
> factors analysis? I would appreciate any explanation someone might offer. I
> have had difficulty finding any explanation on the web concerning these
> issues. Kary
Kary:
You might want to check out chapter 13 in Tabachnick, B.G., &
Fidell, L.S.(1996). Using multivariate statistics (3rd Edition). New
York: Harper Collins. This chapter has a nice discussion of the
differences and similarities between principal components and common
factor analysis and it has some stuff on different estimation
procedures. It sounds like you really want to do a confirmatory
factor analysis in which you could specify which items load on which
of the three factors. I don't think SPSS 6.0 will do CFA, but you may
want to look into it anyway.
HTH,
Chuck
----------------------------------------------
Chuck Cleland
Institute for the Study of Child Development
UMDNJ-Robert Wood Johnson Medical School
97 Paterson Street
New Brunswick, NJ 08903
phone: (732) 235-7699
fax: (732) 235-6189
http://www2.umdnj.edu/iscdweb/
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