The Design of Field Experiments With Survey Outcomes: A Framework for Selecting More Efficient, Robust, and Ethical Designs
By David E. Broockman, Joshua L. Kalla, Jasjeet S. Sekhon. 2017
74 citations recorded by the source corpus.
Subfields: Political Science and International Relations, Safety Research, Sociology and Political Science
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Citations in the corpus
- Metalearners for estimating heterogeneous treatment effects using machine learning (2017, neutral): “[29] Broockman DE, Kalla JL, Sekhon JS (2017) The design of field experiments with survey outcomes: A framework for selecting more efficient, robust, and ethical designs.”
- Reducing Exclusionary Attitudes through Interpersonal Conversation: Evidence from Three Field Experiments (2020, methodology): “Combining outcomes into an index increases precision by decreasing survey measurement error and limits the potential for multiple hypothesis testing [3].”