Randomized Priming Interviews (RPI): Integrating Qualitative Interviews with Experimental Logic
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).
Institutions
- University of California, Riverside (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-10
- DOI
- https://doi.org/10.5281/zenodo.14062822
- Primary Topic
- Qualitative Research Methods and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00