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Candidates for Office: Beliefs and Strategies, 1964

Resource Type
Dataset : survey data
  • Kingdon, John W. (University of Michigan)
Other Title
  • Version 1 (Subtitle)
Publication Date
Funding Reference
  • Brownell Fund at the University of Michigan
  • Institute of Public Administration
  • University of Wisconsin
Free Keywords
campaign contributions; congressional voting; constituencies; constituent relations; decision making; legislative issues; legislative process; legislators; special interest groups; state elections; state legislators; United States Congress; United States Senate
  • Abstract

    This study is based on face-to-face interviews with Wisconsin candidates, both winners and losers in the general election, running for various offices in 1964. Half of the sample is composed of a census of all 1964 Wisconsin candidates for the United States Congress and statewide elective office. The other half is a stratified random sample of candidates for the state legislature (both senate and assembly), chosen to equal in number the number of congressional and statewide candidates. The stratification is by geography in the state of Wisconsin. For more information on the study, including detailed sampling and method information, please refer to Kingdon, J.W. (1968). Candidates for office: Beliefs and strategies. New York: Random House.
  • Abstract

    The study was designed to explore politicians' beliefs about their constituents, the sorts of information they use to formulate those beliefs, and the strategies they adopt in order to gain and retain elective office.
  • Methods

    The data are unweighted
  • Methods

    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.; Checked for undocumented or out-of-range codes..
  • Methods

    Response Rates: Dr. Kingdon interviewed 62 of the 64 candidates in the sample, for a 97 percent rate of response.
  • Table of Contents


    • DS0: Study-Level Files
    • DS1: Coded Interview Data (Public Use)
    • DS2: Interview Writeups (Restricted-Use)
Temporal Coverage
  • Time period: 1964
  • 1965-03 / 1965-04
    Collection date: 1965-03--1965-04
Geographic Coverage
  • United States
  • Wisconsin
Sampled Universe
Persons running for political office in the state of Wisconsin in 1964.
The sample of respondents interviewed was chosen in two ways. First, half of the sample is composed of a census of the 1964 Wisconsin candidates for the following offices: United States Senator, United States Representative, Governor, Lieutenant Governor, Secretary of State, State Treasurer, and State Attorney General. All candidates for Congress and the statewide offices in 1964 were in the sample. The other half of the sample was composed of candidates for the state senate and assembly. A sample of legislative districts was drawn at the ratio of 1 in 8 in order to equal the number of candidates for the higher offices mentioned above, and both the winning and losing candidate in each of the chosen districts was interviewed. The sample of legislators was stratified by geographical area.
Collection Mode
  • face-to-face interview

One or more files in this study are not available for download due to special restrictions; consult the study documentation to learn more on how to obtain the data.
Alternative Identifiers
  • 34101 (Type: ICPSR Study Number)
  • Kingdon, John W.. Candidates for Office; Beliefs and Strategies. Studies in Political Science, PS59.New York, NY: Random House. 1968.

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-16

Kingdon, John W. (2014): Candidates for Office: Beliefs and Strategies, 1964. Version 1. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.