Essec\Faculty\Model\Contribution {#6196
  #_index: "academ_contributions"
  #_id: "558"
  #_source: array:26 [
    "id" => "558"
    "slug" => "a-multiple-item-model-of-paired-comparisons-separating-chance-from-latent-preference"
    "yearMonth" => "2000-11"
    "year" => "2000"
    "title" => "A Multiple-item Model of Paired Comparisons: Separating Chance from Latent Preference"
    "description" => "BEMMAOR, A.C. et WAGNER, U. (2000). A Multiple-item Model of Paired Comparisons: Separating Chance from Latent Preference. <i>Journal of Marketing Research</i>, 37(4), pp. 514-524."
    "authors" => array:2 [
      0 => array:3 [
        "name" => "BEMMAOR Albert C."
        "bid" => "B00000029"
        "slug" => "bemmaor-albert-c"
      ]
      1 => array:1 [
        "name" => "WAGNER U."
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:3 [
      0 => "Intransitivity of preferences"
      1 => "Dirichlet distribution"
      2 => "Binomial distribution"
    ]
    "updatedAt" => "2021-04-16 09:37:48"
    "publicationUrl" => "https://doi.org/10.1509/jmkr.37.4.514.18792"
    "publicationInfo" => array:3 [
      "pages" => "514-524"
      "volume" => "37"
      "number" => "4"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "Les auteurs développent un modèle qui permet d'analyser des scores de préférences fondés sur des comparaisons par paires entre plusieurs produits : le modèle binomial/Dirichlet. L'avantage de ce modèle est qu'il nécessite moins de collecte de données (plus petits échantillons et moins de comparaisons par individu) que des modèles concurrents pour obtenir le même degré de précision des paramètres. Ajusté à des données fournies par 44 tests de produits, le modèle conduit à un bon ajustement."
      "en" => "The authors develop a model which permits to analyze preference scores for paired comparisons: the binomial/Dirichlet model. This model requires less data collection than competing models , i.e. a smaller sample size and less data per respondent, to obtain the same level of parameter accuracy. Fitted to the preference scores provided by 44 product tests, the model shows a relatively good fit."
    ]
    "authors_fields" => array:2 [
      "fr" => "Marketing"
      "en" => "Marketing"
    ]
    "indexedAt" => "2024-04-18T01:21:56.000Z"
    "docTitle" => "A Multiple-item Model of Paired Comparisons: Separating Chance from Latent Preference"
    "docSurtitle" => "Articles"
    "authorNames" => "<a href="/cv/bemmaor-albert-c">BEMMAOR Albert C.</a>, WAGNER U."
    "docDescription" => "<span class="document-property-authors">BEMMAOR Albert C., WAGNER U.</span><br><span class="document-property-authors_fields">Marketing</span> | <span class="document-property-year">2000</span>"
    "keywordList" => "<a href="#">Intransitivity of preferences</a>, <a href="#">Dirichlet distribution</a>, <a href="#">Binomial distribution</a>"
    "docPreview" => "<b>A Multiple-item Model of Paired Comparisons: Separating Chance from Latent Preference</b><br><span>2000-11 | Articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://doi.org/10.1509/jmkr.37.4.514.18792" target="_blank">A Multiple-item Model of Paired Comparisons: Separating Chance from Latent Preference</a>"
  ]
  +lang: "fr"
  +"_type": "_doc"
  +"_score": 8.403736
  +"parent": null
}