Essec\Faculty\Model\Contribution {#2233 ▼
#_index: "academ_contributions"
#_id: "3412"
#_source: array:26 [
"id" => "3412"
"slug" => "3412-assessment-and-validation-in-quantile-composite-based-path-modeling"
"yearMonth" => "2016-12"
"year" => "2016"
"title" => "Assessment and Validation in Quantile Composite-Based Path Modeling"
"description" => "DAVINO, C., ESPOSITO VINZI, V. et DOLCE, P. (2016). Assessment and Validation in Quantile Composite-Based Path Modeling. Dans: <i>The Multiple Facets of Partial Least Squares and Related Methods</i>. 1st ed. Springer, pp. 169-180. 
DAVINO, C., ESPOSITO VINZI, V. et DOLCE, P. (2016). Assessment and Validation in Quantile Composite- "
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DAVINO C."
]
2 => array:1 [
"name" => "DOLCE P."
]
]
"ouvrage" => "The Multiple Facets of Partial Least Squares and Related Methods"
"keywords" => []
"updatedAt" => "2021-09-24 10:33:27"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "169-180"
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "PLS-PM presents some inconsistencies in terms of coherence with the direction of the relationships specified in the path diagram (i.e. the path directions). The PLS-PM iterative algorithm analyses interdependence among blocks and misses to distinguish explicitly between dependent and explanatory blocks in the structural model. This inconsistency of PLS-PM is illustrated by using the simple two-blocks model. For the case of more than two blocks of variables, it is necessary a close look at the different criteria optimized by PLS-PM in order to show this issue. In general, the role of latent variables in the structural model depends on the way the outer weights are calculated. A recently proposed method, called Non-Symmetrical Component-based Path Modeling, which is based on the optimization of a redundancy-related criterion in a multi-block framework, respects the direction of the relationships specified in the structural model. In order to assess the quality of the model, we provide a new goodness-of-fit index based on redundancy criterion and prediction capability. Furthermore, we provide a procedure to address the problem of multicollinearity within blocks of variables. PLS-PM presents some inconsistencies in terms of coherence with the direction of the relationships s "
"en" => "PLS-PM presents some inconsistencies in terms of coherence with the direction of the relationships specified in the path diagram (i.e. the path directions). The PLS-PM iterative algorithm analyses interdependence among blocks and misses to distinguish explicitly between dependent and explanatory blocks in the structural model. This inconsistency of PLS-PM is illustrated by using the simple two-blocks model. For the case of more than two blocks of variables, it is necessary a close look at the different criteria optimized by PLS-PM in order to show this issue. In general, the role of latent variables in the structural model depends on the way the outer weights are calculated. A recently proposed method, called Non-Symmetrical Component-based Path Modeling, which is based on the optimization of a redundancy-related criterion in a multi-block framework, respects the direction of the relationships specified in the structural model. In order to assess the quality of the model, we provide a new goodness-of-fit index based on redundancy criterion and prediction capability. Furthermore, we provide a procedure to address the problem of multicollinearity within blocks of variables. PLS-PM presents some inconsistencies in terms of coherence with the direction of the relationships s "
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-04-01T06:21:44.000Z"
"docTitle" => "Assessment and Validation in Quantile Composite-Based Path Modeling"
"docSurtitle" => "Chapitres"
"authorNames" => "<a href="/cv/esposito-vinzi-vincenzo">ESPOSITO VINZI Vincenzo</a>, DAVINO C., DOLCE P."
"docDescription" => "<span class="document-property-authors">ESPOSITO VINZI Vincenzo, DAVINO C., DOLCE P.</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2016</span> <span class="document-property-authors">ESPOSITO VINZI Vincenzo, DAVINO C., DOLCE P.</span><br><span "
"keywordList" => ""
"docPreview" => "<b>Assessment and Validation in Quantile Composite-Based Path Modeling</b><br><span>2016-12 | Chapitres </span> <b>Assessment and Validation in Quantile Composite-Based Path Modeling</b><br><span>2016-12 | Chapit "
"docType" => "research"
"publicationLink" => "<a href="#" target="_blank">Assessment and Validation in Quantile Composite-Based Path Modeling</a>"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.9821005
+"parent": null
}
