Difference between revisions of "Endorsement Experiments"

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== Read First ==
== Read First ==
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Endorsement experiments are a way to measure sensitive topics, avoiding social desirability bias.


== Guidelines ==


== Guidelines ==
* organize information on the topic into subsections. for each subsection, include a brief description / overview, with links to articles that provide details
===Subsection 1===
===Subsection 2===
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== Back to Parent ==
== Back to Parent ==
This article is part of the topic [[*topic name, as listed on main page*]]
This article is part of the topic [[Questionnaire Design]]





Revision as of 22:39, 16 October 2017

Read First

Endorsement experiments are a way to measure sensitive topics, avoiding social desirability bias.

Guidelines

Back to Parent

This article is part of the topic Questionnaire Design


Additional Resources

  • Lyall, Jason, Graeme Blair, and Kosuke Imai. 2013. “Explaining Support For Combatants during Wartime: A Survey Experiment in Afghanistan.” American Political Science Review 107(4): 679–705.

Abstract: How are civilian attitudes toward combatants affected by wartime victimization? Are these effects conditional on which combatant inflicted the harm? We investigate the determinants of wartime civilian attitudes towards combatants using a survey experiment across 204 villages in five Pashtun-dominated provinces of Afghanistan — the heart of the Taliban insurgency. We use endorsement experiments to indirectly elicit truthful answers to sensitive questions about support for different combatants. We demonstrate that civilian attitudes are asymmetric in nature. Harm inflicted by the International Security Assistance Force (ISAF) is met with reduced support for ISAF and increased support for the Taliban, but Taliban-inflicted harm does not translate into greater ISAF support. We combine a multistage sampling design with hierarchical modeling to estimate ISAF and Taliban support at the individual, village, and district levels, permitting a more fine-grained analysis of wartime attitudes than previously possible.