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: Modern approaches to low-cost online survey experiments
  name:
    name part: Anson, Ian G.
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: Case studies.
  origin info:
    place:
      place term: enk
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: How do Americans appraise their own political knowledge--accurately or overconfidently? In this case study, I describe a research project which uses low-cost online survey experiments to explore overconfidence in the realm of political knowledge. My research process began with a question that could not be answered using conventional survey repositories. Extant surveys often ask Americans factual knowledge questions, but do not ask them to appraise how well they thought they did in answering them. Both types of questions are required to study the possibility of a political Dunning-Kruger effect (Kruger & Dunning, 1999). I therefore developed an extensive, custom survey experiment that would be prohibitively expensive to implement using conventional means. I programmed survey experiments using the Qualtrics platform and distributed them using two low-cost survey platforms, Qualtrics Research Panels (formerly qBus) and Amazon Mechanical Turk. Using an embedded survey experiment, I randomly assigned participants to conditions that varied according to the presence or absence of a partisan cue. This treatment was designed to study whether partisanship exacerbates the overconfidence in the realm of political knowledge. After collecting survey responses, I used simple t-test comparisons to examine the effects of the partisan cue on overconfidence. In this case study, I explain how other researchers might easily design and implement low-cost survey instruments to test rarely explored quantitative research questions and hypotheses using complex survey designs.
  target audience: specialized
  note: Ian G. Anson.
  subject:
    geographic code: n-us---
  subject:
    topic: Internet surveys
    geographic: United States
    genre: Case studies
  subject:
    topic: Political psychology
    topic: Research
    genre: Case studies
  subject:
    topic: Americans
    topic: Attitudes
    topic: Research
    genre: Case studies
  subject:
    topic: Sondages sur Internet
    geographic: États-Unis
    genre: Études de cas
  subject:
    topic: Psychologie politique
    topic: Recherche
    genre: Études de cas
  subject:
    topic: Internet surveys
  subject:
    topic: Political psychology
    topic: Research
  subject:
    geographic: United States
  classification: HM538 .A57 2022
  classification: 300.723
  related item:
    title info:
      title: SAGE research methods: doing research online
  identifier: 9781529798371
  identifier: 152979837X
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 220207
    record change date: 20240923170341.7
    record identifier: in00005494869
    language of cataloging:
      language term: eng