The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments
This is the peer reviewed version of the following article: Giuseppe Lamberti, Aluja, T., G. S. The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments. "Applied stochastic models in business and industry", Novembre 2017, vol. 33, núm. 6, p. 674-689, which has...
| Authors: | ; ; |
|---|---|
| Format: | Article |
| Publication date: | 2017 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/116172 |
| Online Access: | https://hdl.handle.net/2117/116172 https://dx.doi.org/10.1002/asmb.2270 |
| Access Level: | Open access |
| Keyword: | Mathematical statistics Numerical analysis--Simulation methods Fisher F heterogeneity models comparison Partial least squares path modeling Pathmox segmentation Anàlisi numèrica Estadística matemàtica Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys Àrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| _version_ | 1878731377638113280 |
|---|---|
| author | Lamberti, Giuseppe |
| author2 | Aluja Banet, Tomàs|||0000-0003-3096-0339 Sanchez Trujillo, Gaston |
| author2_role | author author |
| author_browse | Aluja Banet, Tomàs|||0000-0003-3096-0339 Lamberti, Giuseppe Sanchez Trujillo, Gaston |
| author_facet | Lamberti, Giuseppe Aluja Banet, Tomàs|||0000-0003-3096-0339 Sanchez Trujillo, Gaston |
| author_role | author |
| collection | UPCommons. Portal del coneixement obert de la UPC |
| description | This is the peer reviewed version of the following article: Giuseppe Lamberti, Aluja, T., G. S. The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments. "Applied stochastic models in business and industry", Novembre 2017, vol. 33, núm. 6, p. 674-689, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/asmb.2270/pdf. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_2e5feb3caee8db9ab4efbf18a856e7a5 |
| institution | Universitat Politècnica de Catalunya (UPC) |
| instname_str | Universitat Politècnica de Catalunya (UPC) |
| language | eng |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:upcommons.upc.edu:2117/116172 |
| publishDate | 2017 |
| publishDateSort | 2017 |
| reponame_str | UPCommons. Portal del coneixement obert de la UPC |
| spelling | The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments Lamberti, Giuseppe Aluja Banet, Tomàs|||0000-0003-3096-0339 Sanchez Trujillo, Gaston Mathematical statistics Numerical analysis--Simulation methods Fisher F heterogeneity models comparison Partial least squares path modeling Pathmox segmentation Anàlisi numèrica Estadística matemàtica Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys Àrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica This is the peer reviewed version of the following article: Giuseppe Lamberti, Aluja, T., G. S. The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments. "Applied stochastic models in business and industry", Novembre 2017, vol. 33, núm. 6, p. 674-689, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/asmb.2270/pdf. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. The problem of heterogeneity represents a very important issue in the decision-making process. Furthermore, it has become common practice in the context of marketing research to assume that different population parameters are possible depending on sociodemographic and psycho-demographic variables such as age, gender, and social status. In recent decades, numerous approaches have been proposed with the aim of involving heterogeneity in the parameter estimation procedures. In partial least squares path modeling, the common practice consists of achieving a global measurement of the differences arising from heterogeneity. This leaves the analyst with the important task of detecting, a posteriori, which are the causal relationships (ie, path coefficients) that produce changes in the model. This is the case in Pathmox analysis, which solves the heterogeneity problem by building a binary tree to detect those segments of population that cause the heterogeneity. In this article, we propose extending the same Pathmox methodology to asses which particular endogenous equation of the structural model and which path coefficients are responsible of the difference. Peer Reviewed https://hdl.handle.net/2117/116172 https://dx.doi.org/10.1002/asmb.2270 |
| spellingShingle | The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments Lamberti, Giuseppe Mathematical statistics Numerical analysis--Simulation methods Fisher F heterogeneity models comparison Partial least squares path modeling Pathmox segmentation Anàlisi numèrica Estadística matemàtica Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys Àrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| title | The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments |
| title_full | The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments |
| title_fullStr | The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments |
| title_full_unstemmed | The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments |
| title_short | The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments |
| title_sort | The Pathmox approach for PLS path modeling: discovering which constructs differentiate segments |
| topic | Mathematical statistics Numerical analysis--Simulation methods Fisher F heterogeneity models comparison Partial least squares path modeling Pathmox segmentation Anàlisi numèrica Estadística matemàtica Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys Àrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| topic_facet | Mathematical statistics Numerical analysis--Simulation methods Fisher F heterogeneity models comparison Partial least squares path modeling Pathmox segmentation Anàlisi numèrica Estadística matemàtica Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys Àrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
| url | https://hdl.handle.net/2117/116172 https://dx.doi.org/10.1002/asmb.2270 |