Poster Open Access

Tutorial articles: guiding the practice of quantitative research

Martins, H.


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  <identifier identifierType="DOI">10.5281/zenodo.3558928</identifier>
  <creators>
    <creator>
      <creatorName>Martins, H.</creatorName>
      <givenName>H.</givenName>
      <familyName>Martins</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3186-4245</nameIdentifier>
      <affiliation>PUC/Rio</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Tutorial articles: guiding the practice of quantitative research</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-11-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Poster</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3558928</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3558545</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/rac</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;In modern research, the use of estimation techniques is almost mandatory for quantitative analysis. Nevertheless, the use of such techniques always comes with challenges that sometimes researchers might not be fully aware. Some of these techniques are highly technical and complex and easy to make mistakes in empirical research, often leading to biased or spurious results. To fill this lacuna and to help both students and researchers, RAC is inviting the submission of Tutorial Articles for quantitative empirical research.&lt;/p&gt;</description>
  </descriptions>
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