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: Should I use linear or logistic regression?
    sub title: a case of using logistic regression to study why American states make different policy choices
  name:
    name part: Meinke, Tim
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Case studies
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Students are often taught about linear regression, but not logistic regression. Regression analysis is an important methodological tool when investigating complex phenomenon where multiple independent variables might influence changes in the dependent variable. Linear regression is helpful in econometrics and other studies where the dependent variables tend to be continuous like money, but what about disciplines such as psychology and political science where the phenomenon studied are often dichotomous, yes/no type, variables such as did the respondent vote or not in the last election? For these studies, the researcher must use logistic regression. This case study explores the differences between linear and logistic regression through a discussion of a research project on why different American states made different policy choices. This research project focused on whether the states made certain welfare policy choices or not, so the dependent variable was dichotomous and called for a logistic regression analysis.
  target audience: specialized
  note: Tim Meinke.
  note: Includes bibliographical references and index.
  subject:
    topic: Logistic regression analysis
    genre: Case studies
  subject:
    topic: Regression analysis
    genre: Case studies
  subject:
    topic: Public welfare
    genre: Case studies
  subject:
    topic: Régression logistique
    genre: Études de cas
  subject:
    topic: Analyse de régression
    genre: Études de cas
  subject:
    topic: Aide sociale
    genre: Études de cas
  subject:
    topic: Logistic regression analysis
  subject:
    topic: Public welfare
  subject:
    topic: Regression analysis
  classification: HA31.3 .M45 2019
  classification: 519.536
  related item:
    title info:
      title: SAGE Research Methods
      part name: Cases
  identifier: 9781526496874
  identifier: 1526496879
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190315
    record change date: 20240923170132.7
    record identifier: in00005492761
    language of cataloging:
      language term: eng