Resumen
Over the years, questions have arisen regarding the application of factorial analysis,one of which is its application in the study of factorial structure obtained from several
independent samples.
This paper presents the Simultaneous Component Analysis (SCA) which
simultaneously analyses the factorial structure of the same variables in several groups. Once
the items have been selected in such a way that the factorial structure remain identifiable in
the different groups, discriminant analysis can then determine the group of subjects with whose
characteristics the remaining groups are identified. The advantages and drawbacks of this
method are discused.
Results are given following the application of a self-conciousness self-report to three
independent random subject samples.
Finally, this procedure is proposed to analyse exploratory factorial congruence in
independent samples before to determine the target population or to make confirmatory
analysis of factorial structure in several independent samples.
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