Recently, Green & Krieger (1995) reported that the highly popular 'tandem a
pproach' to market segmentation, based on a preliminary factor analysis fol
lowed by a clustering of rotated, standardised factor scores, does not perf
orm as well as a straightforward clustering. Comparative performance is bas
ed on how highly associated the resulting respondent clusters are with a se
t of background attributes, not used in the clustering.
This paper extends the scope of their research from comparisons of conjoint
-based importances (reported by Green & Krieger) to more general types of d
ata, such as ratings scales for needs-based segmentation.