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: Mixed-methods content analysis with NVivo
    sub title: project setup, data preparation, and auto-coding
  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 is designed for learning how to prepare data, organise a project, and start auto-coding content to classify and index larger sets of qualitative data. 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 Student Guide for NVivo. 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: Mixed methods research
    topic: Computer programs
  subject:
    topic: Data mining
    topic: Computer programs
  subject:
    topic: Méthodes de recherche mixtes
    topic: Logiciels
  subject:
    topic: Exploration de données (Informatique)
    topic: Logiciels
  classification: H61 .W75 2023
  classification: 300.1
  identifier: 9781529629231
  identifier: 1529629233
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 230131
    record change date: 20240923170401.9
    record identifier: in00005495104
    language of cataloging:
      language term: eng