Finite mixture partial least squares analysis: Methodology and numerical examples

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dc.contributor.author Ringle, C
dc.contributor.author Wende, S
dc.contributor.author Will, A
dc.contributor.editor Vinzi, VE
dc.contributor.editor Chin, WW
dc.contributor.editor Henseler, J
dc.contributor.editor Wang, H
dc.date.accessioned 2012-02-02T03:03:08Z
dc.date.issued 2010-01
dc.identifier.citation Handbook of Partial Least Squares: Concepts, Methods and Applications, 2010, 1st, pp. 195 - 218
dc.identifier.isbn 978-3-540-32825-4
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/14364
dc.description.abstract In wide range of applications for empirical data analysis, the assumption that data is collected from a single homogeneous population is often unrealistic. In particular, the identification of different groups of consumers and their appropriate consideration in partial least squares (PLS) path modeling constitutes a critical issue in marketing. In this work, we introduce a finite mixture PLS software implementation which separates data on the basis of the estimates heterogeneity in the inner path model. Numerical examples using experimental as well as empirical data allow the verification of the methodologys effectiveness and usefulness. The approach permits a reliable identification of distinctive customer segments along with characteristic estimates for relationships between latent variables. Researchers and practitioners can employ this method as a model evaluation technique and thereby assure that results on the aggregate data level are not affected by unobserved heterogeneity in the inner path model estimates. Otherwise, the analysis provides further indications on how to treat that problem by forming groups of data in order to perform a multi-group path analysis.
dc.publisher Springer
dc.relation.isbasedon 10.1007/978-3-540-32827-8_9
dc.title Finite mixture partial least squares analysis: Methodology and numerical examples
dc.type Chapter
dc.parent Handbook of Partial Least Squares: Concepts, Methods and Applications
dc.journal.number en_US
dc.publocation Berlin, Germany en_US
dc.identifier.startpage 195 en_US
dc.identifier.endpage 218 en_US
dc.cauo.name BUS.School of Marketing en_US
dc.conference Verified OK en_US
dc.for 150505 Marketing Research Methodology
dc.personcode 104474
dc.percentage 100 en_US
dc.classification.name Marketing Research Methodology en_US
dc.classification.type FOR-08 en_US
dc.edition 1st en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Business
pubs.organisational-group /University of Technology Sydney/Faculty of Business/School of Marketing
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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