Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem
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...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| التنسيق: | article |
| منشور في: |
2016
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/5531 https://doi.org/10.3727/108354216X14713487283282 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php 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 |
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| _version_ | 1864513477325881344 |
|---|---|
| author | Assaker, Guy |
| author2 | Hallak, Rob |
| author2_role | author |
| author_facet | Assaker, Guy Hallak, Rob |
| author_role | author |
| dc.creator.none.fl_str_mv | Assaker, Guy Hallak, Rob |
| dc.date.none.fl_str_mv | 2016 2017-04-11T10:36:58Z 2017-04-11T10:36:58Z 2017-04-11 |
| dc.identifier.none.fl_str_mv | 1943-3999 http://hdl.handle.net/10725/5531 https://doi.org/10.3727/108354216X14713487283282 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. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php 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 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Tourism Analysis |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_68782935f4f6b2f3aa9fbfe30d0e69a2 |
| identifier_str_mv | 1943-3999 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. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/5531 |
| publishDate | 2016 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-SemAssaker, GuyHallak, RobThis 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.PublishedN/A2017-04-11T10:36:58Z2017-04-11T10:36:58Z20162017-04-11Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1943-3999http://hdl.handle.net/10725/5531https://doi.org/10.3727/108354216X14713487283282Assaker, 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.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://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&idenTourism Analysisinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/55312021-03-19T09:10:11Z |
| spellingShingle | Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem Assaker, Guy |
| status_str | publishedVersion |
| title | Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem |
| title_full | Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem |
| title_fullStr | Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem |
| title_full_unstemmed | Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem |
| title_short | Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem |
| title_sort | Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem |
| url | http://hdl.handle.net/10725/5531 https://doi.org/10.3727/108354216X14713487283282 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php 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 |