Experimentation in Political Science

James N. Druckman, Donald P. Green, James H. Kuklinski, Arthur Lupia

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In his 1909 American Political Science Association presidential address, A. Lawrence Lowell (1910) advised the fledgling discipline against following the model of the natural sciences: “We are limited by the impossibility of experiment. Politics is an observational, not an experimental science…” (7). The lopsided ratio of observational to experimental studies in political science, over the one hundred years since Lowell's statement, arguably affirms his assessment. The next hundred years are likely to be different. The number and influence of experimental studies are growing rapidly as political scientists discover ways of using experimental techniques to illuminate political phenomena.

The growing interest in experimentation reflects the increasing value that the discipline places on causal inference and empirically guided theoretical refinement. Experiments facilitate causal inference through the transparency and content of their procedures, most notably the random assignment of observations (a.k.a. subjects or experimental participants) to treatment and control groups. Experiments also guide theoretical development by providing a means for pinpointing the effects of institutional rules, preference configurations, and other contextual factors that might be difficult to assess using other forms of inference. Most of all, experiments guide theory by providing stubborn facts – that is, reliable information about cause and effect that inspires and constrains theory.
Original languageEnglish (US)
Title of host publicationCambridge Handbook of Experimental Political Science
EditorsJames N. Druckman, Donald P. Green, James H. Kuklinski, Arthur Lupia
PublisherCambridge University Press
Pages3-12
ISBN (Print)9780511921452
DOIs
StatePublished - 2011

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