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On the Same Page: A Formal Process for Training Multiple Interviewers
Author(s) -
Carolyn Sattin-Bajaj
Publication year - 2018
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 35
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2018.3462
Subject(s) - interview , data collection , consistency (knowledge bases) , qualitative research , computer science , process (computing) , qualitative property , psychology , medical education , reliability (semiconductor) , medicine , artificial intelligence , sociology , social science , power (physics) , physics , quantum mechanics , machine learning , anthropology , operating system
The increased utilization of qualitative methodologies as part of mixed-method health and social science research has highlighted the need for training procedures for every stage of qualitative data collection and analysis. Yet, few group training models exist for collecting reliable, valid qualitative interview data. This article presents a multi-stage, collaborative interview training process for a large team of research assistants. The training program combines insights and techniques used in both structured and semi-structured interviewing. It also includes ongoing instruction and feedback prior to and during data collection in an effort to ensure consistency and reliability. In the article, I describe each stage of the training program in detail, review some of the challenges encountered during implementation, and conclude with a discussion of how researchers and course instructors might adapt the methods to fit their particular needs.

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