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: Learn about logistic regression in stata with data from the American National Election Study (2012)
  name:
    name part: Reid, Abigail-Kate
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Allum, Nick
    role:
      role term: author.
  name:
    name part: Odum Institute
    role:
      role term: author.
  type of resource: text
  genre: statistics
  origin info:
    place:
      place term: enk
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: This dataset is designed for teaching logistic regression. The dataset is a subset of data derived from the 2012 American National Election Study, and the example tests whether reported vote choice in the 2012 U.S. Presidential election is predicted by several factors, including a respondent's race/ethnicity and how they feel about the Democratic and Republican Parties. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Stata. The Student Guide and data curation was done by the Odum Institute; the how-to guide was coauthored by Abigail-Kate Reid and Nick Allum.
  target audience: specialized
  note: Abigail-Kate Reid, Nick Allum, The Odum Institute.
  subject:
    geographic code: n-us---
  subject:
    title info:
      title: American national election study, 2012
  subject:
    topic: Regression analysis
  subject:
    topic: Elections
    topic: Research
    geographic: United States
  subject:
    topic: Analyse de régression
  subject:
    topic: Élections
    topic: Recherche
    geographic: États-Unis
  subject:
    topic: Elections
    topic: Research
  subject:
    topic: Regression analysis
  subject:
    geographic: United States
  classification: QA278.2 .R45 2020
  classification: 519.536
  identifier: 9781529710182
  identifier: 1529710189
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 200107
    record change date: 20240923170345.1
    record identifier: in00005494964
    language of cataloging:
      language term: eng