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Scalable Protocols Offer Efficient Design for Field Experiments

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  • Nickerson, David W.

Abstract

Experiments conducted in the field allay concerns over external validity but are subject to the pitfalls of fieldwork. This article proves that scalable protocols conserve statistical efficiency in the face of problems implementing the treatment regime. Three designs are considered: randomly ordering the application of the treatment; matching subjects into groups prior to assignment; and placebo-controlled experiments. Three examples taken from voter mobilization field experiments demonstrate the utility of the design principles discussed.

Suggested Citation

  • Nickerson, David W., 2005. "Scalable Protocols Offer Efficient Design for Field Experiments," Political Analysis, Cambridge University Press, vol. 13(3), pages 233-252, July.
    • Handle: RePEc:cup:polals:v:13:y:2005:i:03:p:233-252_00
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    Cited by:

    1. Lan Liu & Michael G. Hudgens, 2014. "Large Sample Randomization Inference of Causal Effects in the Presence of Interference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 288-301, March.
    2. David W. Nickerson, 2005. "Partisan Mobilization Using Volunteer Phone Banks and Door Hangers," The ANNALS of the American Academy of Political and Social Science, , vol. 601(1), pages 10-27, September.
    3. McDonald, Jared & Safarpour, Alauna & Hanmer, Michael J. & Bryant, Lisa A., 2024. "Evaluating Partisan Registrations Amid the Electronic Registration Information Center (ERIC) Controversy," OSF Preprints 7wr8q, Center for Open Science.
    4. Peter John Loewen & Daniel Rubenson & Leonard Wantchekon, 2010. "Help Me Help You: Conducting Field Experiments with Political Elites," The ANNALS of the American Academy of Political and Social Science, , vol. 628(1), pages 165-175, March.
    5. Gary King & Emmanuela Gakidou & Nirmala Ravishankar & Ryan T. Moore & Jason Lakin & Manett Vargas & Martha María Téllez-Rojo & Juan Eugenio Hernández Ávila & Mauricio Hernández Ávila & Héctor Hernánde, 2007. "A “politically robust” experimental design for public policy evaluation, with application to the Mexican Universal Health Insurance program," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(3), pages 479-506.
    6. Kevin Arceneaux & David W. Nickerson, 2009. "Who Is Mobilized to Vote? A Re‐Analysis of 11 Field Experiments," American Journal of Political Science, John Wiley & Sons, vol. 53(1), pages 1-16, January.

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