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: Exploring support for public health investment in the United States using multi-level data
  name:
    name part: Oxendine, Alina R.
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: enk
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: My research seeks to understand what shapes people's beliefs about supporting and investing in public health. I analyze multi-level data from the United States, measuring individual-level perceptions using the General Social Survey and local economic and community characteristics using county-level census data. This case study explores the methodological successes and challenges associated with this multi-level approach and provides advice for future research. My discussion explores the importance of distinguishing between levels of analysis, explains how to combine information from different datasets, and evaluates ethical considerations in using sensitive, geo-coded data.
  target audience: specialized
  note: Alina R. Oxendine.
  note: Includes bibliographical references and index.
  subject:
    geographic code: n-us---
  subject:
    topic: Medical policy
    geographic: United States
    topic: Public opinion
  subject:
    topic: Medical economics
    geographic: United States
  subject:
    topic: Research Design
  subject:
    topic: Politique sanitaire
    geographic: États-Unis
    topic: Opinion publique
  subject:
    topic: Économie de la santé
    geographic: États-Unis
  subject:
    topic: Medical economics
  subject:
    topic: Medical policy
    topic: Public opinion
  subject:
    geographic: United States
  classification: RA395.A3 O94 2020
  classification: 362.10973
  related item:
    title info:
      title: SAGE Research Methods
      part name: Cases
  identifier: 9781529715200
  identifier: 1529715202
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 200107
    record change date: 20240923170422.7
    record identifier: in00005495422
    language of cataloging:
      language term: eng