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: Writing up qualitative and mixed-methods analysis with ATLAS.ti
  name:
    name part: Wright, Steven
    name part: active 2023
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: Databases
  origin info:
    place:
      place term: enk
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: This dataset focusses on the different ways writing is interleaved into working with computer assisted qualitative data analysis software (CAQDAS) and ATLAS.ti, with a particular focus on how to export that writing as draft segments for refinement and inclusion in research reports such as theses and journal articles.This data and analysis processes are focused on content analysis and incorporate recent developments in CAQDAS. These developments include opportunities to undertake rapid, automated topic, and sentiment extraction from text transcripts and then combine this with a qualitative approach to analysis, with those approaches forming the example data. However, the steps detailed here are applicable to a wide variety of analysis approaches.The dataset files are from the Trump White House Press Briefings and Statements archive. The selected data is taken from the Coronavirus Task Force press briefings. The dataset files are accompanied by a teaching guide and a student guide.
  target audience: specialized
  note: Steven Wright.
  subject:
    name:
      name part: United States.
      name part: Office of the White House Press Secretary
    genre: Databases
  subject:
    name:
      name part: United States.
      name part: Office of the White House Press Secretary
  subject:
    topic: Qualitative research
    topic: Computer programs
  subject:
    topic: Qualitative research
    topic: Data processing
  subject:
    topic: Recherche qualitative
    topic: Logiciels
  subject:
    topic: Recherche qualitative
    topic: Informatique
  classification: H62 .W75 2023
  classification: 300.72
  identifier: 9781529629200
  identifier: 1529629209
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 230131
    record change date: 20240923170404.1
    record identifier: in00005495129
    language of cataloging:
      language term: eng