rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Quantitative text analysis for social scientists
  name:
    name part: Todd, Michael
    role:
      role term: Speaker.
  name:
    name part: Baerg, Nicole
    role:
      role term: Academic.
  type of resource: moving image
  genre: videorecording
  origin info:
    place:
      place term: enk
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (00:56:41)) : sound, colour
  abstract: SAGE Social Science Communication Manager, Michael Todd, introduces the webinar, quantitative text analysis (QTA) for social scientists, and speaker Nicole Rae Baerg, PhD, Lecturer in the department of Government at the University of Essex, Nicole Rae Baerg, discusses what QTA is and what it isn't, the basic QTA process, what assumptions must be made, text as the new frontier, what should be considered, key features of QTA, examples of QTA in every day life, its application to political texts, whether it can be scaled, using a social science approach to QTA, and resources for further information. A Q&A session follows touching on ethical issues, software, working with older texts, generalizing the findings, replication of results, its use in mixed methods, and working with multiple languages.
  target audience: specialized
  note: with Nicole Rae Baerg.
  note: Speaker, Michael Todd.
  note: Academic, Nicole Rae Baerg PhD.
  note: Closed-captions in English.
  subject:
    topic: Discourse analysis
    topic: Mathematical models
  subject:
    topic: Mathematical linguistics
  subject:
    topic: Social scientists
  subject:
    topic: Linguistique mathématique
  subject:
    topic: Spécialistes des sciences sociales
  subject:
    topic: social scientists
  subject:
    topic: Discourse analysis
    topic: Mathematical models
  subject:
    topic: Mathematical linguistics
  subject:
    topic: Social scientists
  classification: P302.6 .Q36 2018
  classification: 401.41
  identifier: 9781526498977
  identifier: 1526498979
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190508
    record change date: 20241105202748.1
    record identifier: in00005512154
    language of cataloging:
      language term: eng