Measuring policy positions in political space

Michael Laver

    Research output: Contribution to journalArticle

    Abstract

    Spatial models are ubiquitous within political science. Whenever we confront spatial models with data, we need valid and reliable ways to measure policy positions in political space. I first review a range of general issues that must be resolved before thinking about how to measure policy positions, including cognitive metrics, a priori and a posteriori scale interpretation, dimensionality, common spaces, and comparability across settings. I then briefly review different types of data we can use to do this and measurement techniques associated with each type, focusing on headline issues with each type of data and pointing to comprehensive surveys of relevant literatures-including expert, elite, and mass surveys; text analysis; and legislative voting behavior.

    Original languageEnglish (US)
    Pages (from-to)207-223
    Number of pages17
    JournalAnnual Review of Political Science
    Volume17
    DOIs
    StatePublished - 2014

    Fingerprint

    text analysis
    voting behavior
    political science
    elite
    expert
    interpretation
    literature

    Keywords

    • Dimensionality
    • Metrics
    • Roll-call voting
    • Scaling
    • Surveys
    • Text

    ASJC Scopus subject areas

    • Sociology and Political Science

    Cite this

    Measuring policy positions in political space. / Laver, Michael.

    In: Annual Review of Political Science, Vol. 17, 2014, p. 207-223.

    Research output: Contribution to journalArticle

    Laver, Michael. / Measuring policy positions in political space. In: Annual Review of Political Science. 2014 ; Vol. 17. pp. 207-223.
    @article{a9744697d2704538b10de25108029cef,
    title = "Measuring policy positions in political space",
    abstract = "Spatial models are ubiquitous within political science. Whenever we confront spatial models with data, we need valid and reliable ways to measure policy positions in political space. I first review a range of general issues that must be resolved before thinking about how to measure policy positions, including cognitive metrics, a priori and a posteriori scale interpretation, dimensionality, common spaces, and comparability across settings. I then briefly review different types of data we can use to do this and measurement techniques associated with each type, focusing on headline issues with each type of data and pointing to comprehensive surveys of relevant literatures-including expert, elite, and mass surveys; text analysis; and legislative voting behavior.",
    keywords = "Dimensionality, Metrics, Roll-call voting, Scaling, Surveys, Text",
    author = "Michael Laver",
    year = "2014",
    doi = "10.1146/annurev-polisci-061413-041905",
    language = "English (US)",
    volume = "17",
    pages = "207--223",
    journal = "Annual Review of Political Science",
    issn = "1094-2939",
    publisher = "Annual Reviews Inc.",

    }

    TY - JOUR

    T1 - Measuring policy positions in political space

    AU - Laver, Michael

    PY - 2014

    Y1 - 2014

    N2 - Spatial models are ubiquitous within political science. Whenever we confront spatial models with data, we need valid and reliable ways to measure policy positions in political space. I first review a range of general issues that must be resolved before thinking about how to measure policy positions, including cognitive metrics, a priori and a posteriori scale interpretation, dimensionality, common spaces, and comparability across settings. I then briefly review different types of data we can use to do this and measurement techniques associated with each type, focusing on headline issues with each type of data and pointing to comprehensive surveys of relevant literatures-including expert, elite, and mass surveys; text analysis; and legislative voting behavior.

    AB - Spatial models are ubiquitous within political science. Whenever we confront spatial models with data, we need valid and reliable ways to measure policy positions in political space. I first review a range of general issues that must be resolved before thinking about how to measure policy positions, including cognitive metrics, a priori and a posteriori scale interpretation, dimensionality, common spaces, and comparability across settings. I then briefly review different types of data we can use to do this and measurement techniques associated with each type, focusing on headline issues with each type of data and pointing to comprehensive surveys of relevant literatures-including expert, elite, and mass surveys; text analysis; and legislative voting behavior.

    KW - Dimensionality

    KW - Metrics

    KW - Roll-call voting

    KW - Scaling

    KW - Surveys

    KW - Text

    UR - http://www.scopus.com/inward/record.url?scp=84901052933&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84901052933&partnerID=8YFLogxK

    U2 - 10.1146/annurev-polisci-061413-041905

    DO - 10.1146/annurev-polisci-061413-041905

    M3 - Article

    AN - SCOPUS:84901052933

    VL - 17

    SP - 207

    EP - 223

    JO - Annual Review of Political Science

    JF - Annual Review of Political Science

    SN - 1094-2939

    ER -