caa a22 4500 469067136 CHVBK 20180323132911.0 cr unu---uuuuu 170328e19920101xx s 000 0 eng 10.1007/BF00994078 doi (NATIONALLICENCE)springer-10.1007/BF00994078 A dimensional versus attribute approach for disaggregate choice models [Elektronische Daten] [Dennis Gensch, Sanjoy Ghose] A fundamental issue facing choice modelers is to make a decision on what kind of independent variables to include in a choice model. With survey data, the two immediate options are: actual product attributes or underlying latent dimensions (factor scores). Using behavioral logic we argue that heterogeneity of consumer perceptions of variables and their saliences should be the key items moderating such a decision. We present empirical evidence to support our theory that dimensional (factor score) based models do better in terms of predictions than attribute based models in more heterogeneous populations. Empirical analysis shows that in segments (where consumer heterogeneity is lower) the predictive performance of attribute based models improves relative to the factor score model and may actually have a better predictive fit when the respondents are relatively homogeneous with respect to attribute ratings and saliences. Kluwer Academic Publishers, 1992 Actual product attributes nationallicence underlying latent dimensions nationallicence consumer perceptions nationallicence Gensch Dennis University of Wisconsin, USA aut Ghose Sanjoy University of Wisconsin, USA aut Marketing Letters Kluwer Academic Publishers 3/1(1992-01-01), 27-37 0923-0645 3:1<27 1992 3 11002 https://doi.org/10.1007/BF00994078 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00994078 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gensch Dennis University of Wisconsin, USA aut NATIONALLICENCE 700 1- Ghose Sanjoy University of Wisconsin, USA aut NATIONALLICENCE 773 0- Marketing Letters Kluwer Academic Publishers 3/1(1992-01-01), 27-37 0923-0645 3:1<27 1992 3 11002 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer