0 of 0       
Essec\Faculty\Model\Contribution {#2233 ▼
  #_index: "academ_contributions"
  #_id: "6719"
  #_source: array:26 [
    "id" => "6719"
    "slug" => "6719-multidimensional-and-non-metric-extensions-of-pls-path-modeling-for-synthetic-indicators"
    "yearMonth" => "2015-05"
    "year" => "2015"
    "title" => "Multidimensional and Non-Metric Extensions of PLS Path Modeling for Synthetic Indicators"
    "description" => "ESPOSITO VINZI, V., TRINCHERA, L. et RUSSOLILLO, G. (2015). Multidimensional and Non-Metric Extensions of PLS Path Modeling for Synthetic Indicators. Dans: Dealing with Complexity in Society: from Plurality of Data to Synthetic Indicators. ESPOSITO VINZI, V., TRINCHERA, L. et RUSSOLILLO, G. (2015). Multidimensional and Non-Metric Extensio "
    "authors" => array:3 [
      0 => array:3 [
        "name" => "ESPOSITO VINZI Vincenzo"
        "bid" => "B00067049"
        "slug" => "esposito-vinzi-vincenzo"
      ]
      1 => array:1 [
        "name" => "TRINCHERA L."
      ]
      2 => array:1 [
        "name" => "RUSSOLILLO G."
      ]
    ]
    "ouvrage" => "Dealing with Complexity in Society: from Plurality of Data to Synthetic Indicators"
    "keywords" => []
    "updatedAt" => "2021-04-19 17:57:25"
    "publicationUrl" => null
    "publicationInfo" => array:3 [
      "pages" => null
      "volume" => null
      "number" => null
    ]
    "type" => array:2 [
      "fr" => "Communications dans une conférence"
      "en" => "Presentations at an Academic or Professional conference"
    ]
    "support_type" => array:2 [
      "fr" => null
      "en" => null
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "A composite indicator is a mathematical combination of single indicators that represent different dimensions of a concept whose description is the objective of the analysis. If all the indicators refer to a single latent concept, classical MDA techniques, like Factorial Analysis or Principal Component Analysis, can be used. These techniques allow us to assess the impact of each indicator on the composite indicator. However, often the several indicators used in the construction of a composite indicator express different aspects of a complex phenomenon, and so they can be conceptually split in several blocks of indicators. Each block can be resumed by a composite indicator, which is considered causative with respect to a second-order composite indicator. We refer to this kind of index, which is a synthesis of composite indicators, as complex indicator. A composite indicator is a mathematical combination of single indicators that represent different di "
      "en" => "A composite indicator is a mathematical combination of single indicators that represent different dimensions of a concept whose description is the objective of the analysis. If all the indicators refer to a single latent concept, classical MDA techniques, like Factorial Analysis or Principal Component Analysis, can be used. These techniques allow us to assess the impact of each indicator on the composite indicator. However, often the several indicators used in the construction of a composite indicator express different aspects of a complex phenomenon, and so they can be conceptually split in several blocks of indicators. Each block can be resumed by a composite indicator, which is considered causative with respect to a second-order composite indicator. We refer to this kind of index, which is a synthesis of composite indicators, as complex indicator. A composite indicator is a mathematical combination of single indicators that represent different di "
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2025-04-01T10:21:49.000Z"
    "docTitle" => "Multidimensional and Non-Metric Extensions of PLS Path Modeling for Synthetic Indicators"
    "docSurtitle" => "Communications dans une conférence"
    "authorNames" => "<a href="/cv/esposito-vinzi-vincenzo">ESPOSITO VINZI Vincenzo</a>, TRINCHERA L., RUSSOLILLO G."
    "docDescription" => "<span class="document-property-authors">ESPOSITO VINZI Vincenzo, TRINCHERA L., RUSSOLILLO G.</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2015</span> <span class="document-property-authors">ESPOSITO VINZI Vincenzo, TRINCHERA L., RUSSOLILLO G.</span>< "
    "keywordList" => ""
    "docPreview" => "<b>Multidimensional and Non-Metric Extensions of PLS Path Modeling for Synthetic Indicators</b><br><span>2015-05 | Communications dans une conférence </span> <b>Multidimensional and Non-Metric Extensions of PLS Path Modeling for Synthetic Indicators</b><br>< "
    "docType" => "research"
    "publicationLink" => "<a href="#" target="_blank">Multidimensional and Non-Metric Extensions of PLS Path Modeling for Synthetic Indicators</a> <a href="#" target="_blank">Multidimensional and Non-Metric Extensions of PLS Path Modeling for Synt "
  ]
  +lang: "fr"
  +"_type": "_doc"
  +"_score": 9.123764
  +"parent": null
}