Randomized Priming Interviews (RPI): Integrating Qualitative Interviews with Experimental Logic
Year: 2024
Type: article
Abstract: In this paper, I propose a mixed-method design called “randomized priming interviews” (RPI) that combines the strength of priming experiments with the richness of in-depth interview methods. Unlike existing mixed-method designs that tend to sequentially combine qualitative and quantitative methods, the RPI integrates experimental logic with qualitative data collection and analysis without quantitative components. The common and standard advice for mixed-method designs is to employ either experimentation or quantitative analysis first and then qualitative inquiry or vice versa (Bell-Martin 2022; Martin 2013; Seawright 2016).
Author: Park, Eun-A
Institution: University of California, Riverside
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6911622001
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