Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem

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dc.contributor.author Assaker, Guy
dc.contributor.author Hallak, Rob
dc.date.accessioned 2017-04-11T10:36:58Z
dc.date.available 2017-04-11T10:36:58Z
dc.date.copyright 2016 en_US
dc.date.issued 2017-04-11
dc.identifier.issn 1943-3999 en_US
dc.identifier.uri http://hdl.handle.net/10725/5531 en_US
dc.description.abstract This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. The research note is presented in two parts: Part A presents an overview of REBUS, including its development, algorithm, and its primary functions. Part B demonstrates the application of REBUS in examining a validated tourism model of destination image, satisfaction, and destination loyalty. The example shows how REBUS is used to examine variances in a structural equation model, to detect “classes,” and to profile and understand the heterogeneous groups in an SEM context. REBUS is powerful in uncovering variances and possible moderators in structural models, especially when the data are cross-sectional, heterogeneous, and multivariate nonnormal. Finally, the research note demonstrates how REBUS detects classes in models with higher order (multidimensional) constructs, which are often the case in tourism research. en_US
dc.language.iso en en_US
dc.title Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SOB en_US
dc.author.idnumber 199635060 en_US
dc.author.department Department of Hospitality Management and Marketing (HMKT) en_US
dc.description.embargo N/A en_US
dc.relation.journal Tourism Analysis en_US
dc.journal.volume 21 en_US
dc.journal.issue 6 en_US
dc.article.pages 661-668 en_US
dc.keywords Heterogeneity en_US
dc.keywords Latent class detection en_US
dc.keywords PLS-SEM en_US
dc.keywords REBUS en_US
dc.keywords Tourism models en_US
dc.identifier.doi https://doi.org/10.3727/108354216X14713487283282 en_US
dc.identifier.ctation Assaker, G., & Hallak, R. (2016). Detecting Latent Classes in Tourism Data Through Response-Based Unit Segmentation (REBUS) in Pls-Sem. Tourism Analysis, 21(6), 661-668. en_US
dc.author.email guy.assaker@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://ku7rj9xt8c.scholar.serialssolutions.com/?sid=google&auinit=G&aulast=Assaker&atitle=Detecting+Latent+Classes+in+Tourism+Data+Through+Response-Based+Unit+Segmentation+(REBUS)+in+Pls-Sem&id en_US
dc.author.affiliation Lebanese American University en_US

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