The qualitative pretest interview for questionnaire development: outline of programme and practice
Christina Buschle (),
Herwig Reiter and
Arne Bethmann
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Christina Buschle: IU International University of Applied Sciences
Herwig Reiter: German Youth Institute
Arne Bethmann: Technical University of Munich (Chair for the Economics of Aging)
Quality & Quantity: International Journal of Methodology, 2022, vol. 56, issue 2, No 22, 823-842
Abstract:
Abstract Good survey research depends on asking the right questions; it is the only way to ensure that the information collected from respondents is suitable for providing good answers to our research questions. The article discusses and advocates a comprehensive consideration of qualitative-interpretive methodology in open forms of pretesting for the evaluation of draft survey questionnaires. We outline an approach we call Qualitative Pretest Interview (QPI). It transfers the idea of negotiated common understanding in everyday communication to the clarification of meaning in draft survey questions and similar stimuli. The QPI involves ascribing interview partners the role of co-experts in this process and employing methodically integrated communication strategies. This paper focusses on how QPIs are conducted. Using an example interview, we illustrate how the particular way of qualitative pretest interviewing aims at a dialogic clarification of meaning in order to reach intersubjective understanding between participant and interviewer. In the process, we gain detailed insights into how and why a certain questionnaire might not work as intended, and ideally how this might be alleviated. QPIs pursue similar goals as Cognitive Interviews but rely more systematically on qualitative-interpretive methodology.
Keywords: Questionnaire development; Pretest; Qualitative interview; Qualitative pretest interview; Cognitive interview; Measurement error (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:56:y:2022:i:2:d:10.1007_s11135-021-01156-0
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DOI: 10.1007/s11135-021-01156-0
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