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Iteration in Mixed-Methods Research Designs Combining Experiments and Fieldwork 1, 2

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  • Verónica Pérez Bentancur
  • Lucía Tiscornia

Abstract

Experimental designs in the social sciences have received increasing attention due to their power to produce causal inferences. Nevertheless, experimental research faces limitations, including limited external validity and unrealistic treatments. We propose combining qualitative fieldwork and experimental design iteratively—moving back-and-forth between elements of a research design—to overcome these limitations. To properly evaluate the strength of experiments researchers need information about the context, data, and previous knowledge used to design the treatment. To support our argument, we analyze 338 pre-analysis plans submitted to the Evidence in Governance and Politics repository in 2019 and the design of a study on public opinion support for punitive policing practices in Montevideo, Uruguay. The paper provides insights about using qualitative fieldwork to enhance the external validity, transparency and replicability of experimental research, and a practical guide for researchers who want to incorporate iteration to their research designs.

Suggested Citation

  • Verónica Pérez Bentancur & Lucía Tiscornia, 2024. "Iteration in Mixed-Methods Research Designs Combining Experiments and Fieldwork 1, 2," Sociological Methods & Research, , vol. 53(2), pages 729-759, May.
    • Handle: RePEc:sae:somere:v:53:y:2024:i:2:p:729-759
    DOI: 10.1177/00491241221082595
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    References listed on IDEAS

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    1. Jennifer Cyr, 2019. "An integrative approach to measurement: focus groups as a survey pretest," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 897-913, March.
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