Skip to main content Accessibility help
×
  1. Home
  2. Books
  3. Experimental Political Science and the Study of Causality
  • Cited by 346
      • Show more authors
      • You may already have access via personal or institutional login
    • Select format
    • Publisher:
      Cambridge University Press
      Publication date:
      05 June 2012
      06 August 2010
      ISBN:
      9780511762888
      9780521199667
      9780521136488
      DOI:
      https://doi.org/10.1017/CBO9780511762888
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.93kg, 606 Pages
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.91kg, 608 Pages
      • Subjects:
      Research Methods in Politics, Politics and International Relations, Research Methods In Politics
    You may already have access via personal or institutional login
    • Selected: Digital
    Add to cart View cart Buy from Cambridge.org
    Subjects:
    Research Methods in Politics, Politics and International Relations, Research Methods In Politics
    Information

    Book description

    Increasingly, political scientists use the term 'experiment' or 'experimental' to describe their empirical research. One of the primary reasons for doing so is the advantage of experiments in establishing causal inferences. In this book, Rebecca B. Morton and Kenneth C. Williams discuss in detail how experiments and experimental reasoning with observational data can help researchers determine causality. They explore how control and random assignment mechanisms work, examining both the Rubin causal model and the formal theory approaches to causality. They also cover general topics in experimentation such as the history of experimentation in political science; internal and external validity of experimental research; types of experiments - field, laboratory, virtual, and survey - and how to choose, recruit, and motivate subjects in experiments. They investigate ethical issues in experimentation, the process of securing approval from institutional review boards for human subject research, and the use of deception in experimentation.

    Awards

    Winner of the 2011 Best Book Award from the Experimental Research section of the American Political Science Association

    Reviews

    ‘This is a landmark contribution - not only in what it offers for experimentalists but for social science in general. Morton and Williams present a distinctive approach to how to conduct research that is sure to be widely discussed and debated.’

    James N. Druckman - Northwestern University

    ‘This path-breaking work is the first political science monograph to cover laboratory, survey, and field experimentation. Using a wealth of examples from a wide array of subfields, Morton and Williams cover topics from causal inference to research ethics in a lively and engaging manner.’

    Donald Green - Yale University

    ‘Morton and Williams’s review of experimental methodology and reasoning in political science will be the benchmark reference for experimental methodology in political science for years to come. It is comprehensive in its discussion of methods, scientific reasoning, and ethics, and at the same time it tears down boundaries across subfields of political science and across different approaches to experimental research in the discipline. The authors successfully argue for and carefully lay out discipline-wide standards for experimental methodology in political science. The framework provided can be fruitfully used by those who conduct lab, field, or survey experiments as well as those who use experimental reasoning with observational data.'

    Thomas Palfrey - California Institute of Technology

    Refine List

    Actions for selected content:

    Select all | Deselect all
    • View selected items
    • Export citations
    • Download PDF (zip)
    • Save to Kindle
    • Save to Dropbox
    • Save to Google Drive

    Save Search

    You can save your searches here and later view and run them again in "My saved searches".

    Please provide a title, maximum of 40 characters.
    Cancel
    ×

    Contents

    Contents

    Metrics

    Altmetric attention score

    Full text views

    Total number of HTML views: 0
    Total number of PDF views: 0 *
    Loading metrics...

    Book summary page views

    Total views: 0 *
    Loading metrics...

    * Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

    Usage data cannot currently be displayed.

    Accessibility standard: Unknown

    Why this information is here

    This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.

    Accessibility Information

    Accessibility compliance for the PDF of this book is currently unknown and may be updated in the future.