SETUPS: Voting Behavior: The 2020 Election, United States (ICPSR 38313)

Version Date: Feb 16, 2022 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Peter L. Francia, East Carolina University; Jonathan S. Morris, East Carolina University

Series:

https://doi.org/10.3886/ICPSR38313.v1

Version V1

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Supplementary Empirical Teaching Units in Political Science

Voting Behavior, The 2020 Election is an instructional module designed to offer students the opportunity to analyze a dataset drawn from the American National Election (ANES) 2020 Time Series Study [ICPSR 38034]. This instructional module is part of the Supplementary Empirical Teaching Units in Political Science (SETUPS) series. SETUPS are computer-related modules designed for use in teaching introductory courses in American government and politics. The modules are intended to demonstrate the process of examining evidence and reaching conclusions in a way that stimulates students to think independently and critically, with a deeper understanding of substantive content. They enable students with no previous training to make use of the computer to analyze data on political behavior.

Francia, Peter L., and Morris, Jonathan S. SETUPS: Voting Behavior: The 2020 Election, United States. Inter-university Consortium for Political and Social Research [distributor], 2022-02-16. https://doi.org/10.3886/ICPSR38313.v1

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Inter-university Consortium for Political and Social Research
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2020
2020
  1. These data were drawn from the American National Election (ANES) 2020 Time Series Study [ICPSR 38034]. Variable names from study 38034 are included in the variable labels in this study.
  2. For additional information on the SETUPS: Voting Behavior: The 2020 Election, please visit the Voting Behavior, The 2020 Election Web site.
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This study is a new module that was developed to provide students the opportunity to analyze data from the 2020 United States presidential election.

These data were drawn from the American National Election (ANES) 2020 Time Series Study [ICPSR 38034]. For additional information, users should consult the user guide in study 38034.

The American National Election (ANES) 2020 Time Series Study [ICPSR 38034] used a contactless, mixed-mode design that was created in response to challenges related to the COVID-19 pandemic. The pandemic made face-to-face interviewing unfeasible in 2020, and no in-person interviewing was done. Instead, a sequential mixed-mode design was implemented that included self-administered online surveys, live video interviews conducted online, and telephone interviews. Further sampling information can be found in the user guide in study 38034.

Longitudinal: Trend / Repeated Cross-section

United States electorate

Individuals

American National Election (ANES) 2020 Time Series Study [ICPSR 38034].

The study draws select survey questions from the American National Election (ANES) 2020 Time Series Study [ICPSR 38034]. The variables are grouped in 16 themes:

  • A: Voting Behavior and Related Items
  • B: Political Involvement and Participation Items
  • C: Media Exposure and Consumption Items
  • D: Candidate Image Items
  • E: Presidential, Congressional, and Supreme Court Performance Items
  • F: Economic Conditions Items
  • G: Ideology Items
  • H: Health Care Policy Issue Items
  • J: Economic and Social Welfare Items
  • K: Social and Moral Issue Items
  • L: Women's and Gender Issues
  • M: Civil Rights and Race/Religion-Related Items
  • N: Foreign Policy and National Security Items
  • P: General Political Attitudes and Orientations
  • Q: LGBTQ+ Issues
  • R: Demographic and Social Characteristics

For information regarding response rates, users should consult the user guide in the American National Election (ANES) 2020 Time Series Study [ICPSR 38034].

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2022-02-16

2022-02-16 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created variable labels and/or value labels.
  • Created online analysis version with question text.
  • Checked for undocumented or out-of-range codes.

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The data are not weighted. However, the weight variable WEIGHT has been included and must be used in any analysis.

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Notes