caa a22 4500 606242198 CHVBK 20210128101317.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11336-015-9449-x doi (NATIONALLICENCE)springer-10.1007/s11336-015-9449-x A Bayesian Vector Multidimensional Scaling Procedure Incorporating Dimension Reparameterization with Variable Selection [Elektronische Daten] [Duncan Fong, Wayne DeSarbo, Zhe Chen, Zhuying Xu] We propose a two-way Bayesian vector spatial procedure incorporating dimension reparameterization with a variable selection option to determine the dimensionality and simultaneously identify the significant covariates that help interpret the derived dimensions in the joint space map. We discuss how we solve identifiability problems in a Bayesian context that are associated with the two-way vector spatial model, and demonstrate through a simulation study how our proposed model outperforms a popular benchmark model. In addition, an empirical application dealing with consumers' ratings of large sport utility vehicles is presented to illustrate the proposed methodology. We are able to obtain interpretable and managerially insightful results from our proposed model with variable selection in comparison with the benchmark model. The Psychometric Society, 2015 bayesian analysis nationallicence multidimensional scaling nationallicence vector model nationallicence variable selection nationallicence QR decomposition nationallicence reparameterization nationallicence consumer psychology nationallicence Fong Duncan Department of Marketing, Pennsylvania State University, 16802, University Park, PA, USA aut DeSarbo Wayne Department of Marketing, Pennsylvania State University, 16802, University Park, PA, USA aut Chen Zhe Department of Statistics, Pennsylvania State University, 16802, University Park, PA, USA aut Xu Zhuying Department of Statistics, Pennsylvania State University, 16802, University Park, PA, USA aut Psychometrika Springer US; http://www.springer-ny.com 80/4(2015-12-01), 1043-1065 0033-3123 80:4<1043 2015 80 11336 https://doi.org/10.1007/s11336-015-9449-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11336-015-9449-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fong Duncan Department of Marketing, Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 700 1- DeSarbo Wayne Department of Marketing, Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 700 1- Chen Zhe Department of Statistics, Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 700 1- Xu Zhuying Department of Statistics, Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 773 0- Psychometrika Springer US; http://www.springer-ny.com 80/4(2015-12-01), 1043-1065 0033-3123 80:4<1043 2015 80 11336