Essec\Faculty\Model\Contribution {#2233
  #_index: "academ_contributions"
  #_id: "11702"
  #_source: array:26 [
    "id" => "11702"
    "slug" => "a-standard-error-estimator-for-the-polarization-index-assessing-the-measurement-error-in-one-approach-to-the-analysis-of-loyalty"
    "yearMonth" => "2005-01"
    "year" => "2005"
    "title" => "A Standard Error Estimator for the Polarization Index: Assessing the Measurement Error in One Approach to the Analysis of Loyalty"
    "description" => "LAURENT, G., RUNGIE, C., BROWN, B. et RUDRAPATNA, S. (2005). A Standard Error Estimator for the Polarization Index: Assessing the Measurement Error in One Approach to the Analysis of Loyalty. <i>Marketing Bulletin</i>, 16(Technical Note 2)."
    "authors" => array:4 [
      0 => array:3 [
        "name" => "LAURENT Gilles"
        "bid" => "B00770447"
        "slug" => "laurent-gilles"
      ]
      1 => array:1 [
        "name" => "RUNGIE Cam"
      ]
      2 => array:1 [
        "name" => "BROWN Bruce"
      ]
      3 => array:1 [
        "name" => "RUDRAPATNA Suma"
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:1 [
      0 => "Polarization Index, Behavioural loyalty, preference data, repeat choice"
    ]
    "updatedAt" => "2021-07-13 14:31:55"
    "publicationUrl" => null
    "publicationInfo" => array:3 [
      "pages" => null
      "volume" => "16"
      "number" => "Technical Note 2"
    ]
    "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" => """
        The Polarization Index, developed by Sabavala, Morrison and Kalwani (1977), is a well-known\n
        measure of behavioral loyalty. It is of considerable use in analyzing purchase data and repeated choice\n
        revealed preference data. Until now, it has only been possible to evaluate the accuracy of estimates or\n
        polarization through simulations. We present a closed form estimator of its asymptotic standard error.\n
        Using simulations, we show that this estimator is sufficiently accurate for the typical sample sizes used\n
        in marketing studies.
        """
      "en" => """
        The Polarization Index, developed by Sabavala, Morrison and Kalwani (1977), is a well-known\n
        measure of behavioral loyalty. It is of considerable use in analyzing purchase data and repeated choice\n
        revealed preference data. Until now, it has only been possible to evaluate the accuracy of estimates or\n
        polarization through simulations. We present a closed form estimator of its asymptotic standard error.\n
        Using simulations, we show that this estimator is sufficiently accurate for the typical sample sizes used\n
        in marketing studies.
        """
    ]
    "authors_fields" => array:2 [
      "fr" => "Marketing"
      "en" => "Marketing"
    ]
    "indexedAt" => "2024-11-25T00:21:45.000Z"
    "docTitle" => "A Standard Error Estimator for the Polarization Index: Assessing the Measurement Error in One Approach to the Analysis of Loyalty"
    "docSurtitle" => "Articles"
    "authorNames" => "<a href="/cv/laurent-gilles">LAURENT Gilles</a>, RUNGIE Cam, BROWN Bruce, RUDRAPATNA Suma"
    "docDescription" => "<span class="document-property-authors">LAURENT Gilles, RUNGIE Cam, BROWN Bruce, RUDRAPATNA Suma</span><br><span class="document-property-authors_fields">Marketing</span> | <span class="document-property-year">2005</span>"
    "keywordList" => "<a href="#">Polarization Index, Behavioural loyalty, preference data, repeat choice</a>"
    "docPreview" => "<b>A Standard Error Estimator for the Polarization Index: Assessing the Measurement Error in One Approach to the Analysis of Loyalty</b><br><span>2005-01 | Articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="#" target="_blank">A Standard Error Estimator for the Polarization Index: Assessing the Measurement Error in One Approach to the Analysis of Loyalty</a>"
  ]
  +lang: "fr"
  +"_type": "_doc"
  +"_score": 8.953466
  +"parent": null
}