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Clean language interviewing (CLI), sometim … Clean language interviewing (CLI), sometimes shortened to clean interviewing, aims to maximise the reliability that information collected during an interview derives from the interviewee. CLI seeks to address some of the "threats to validity and reliability" that can occur during an interview and to increase the "trustworthiness" of the data collected. It does this by employing a technique that minimises the unintended introduction of interviewer content, assumption, leading question structure, presupposition, framing, priming, tacit metaphor and nonverbal aspects such as paralanguage and gesture that may compromise the authenticity of the data collected. At the same time clean language interviewing seeks to minimise common interviewee biases, such as the consistency effect, acquiescence bias and the friendliness effect which may mean an interviewee (unconsciously) looks for cues from the interviewer about how to answer. Furthermore, a systematic application of a 'cleanness rating' protocol provides a quantitive measure of adherence to interview guidelines and by extension the "confirmability" of the data collected. CLI can be considered a phenomenologically-based interview method, similar in intent to neuro- and micro-phenomenology, psycho-phenomenology, phenomenography, and Interpersonal Process Recall. Clean interviewing can be seen as a method of operationalising the phenomenological aim of bracketing (epoché). CLI has the flexibility to be applied at four progressive levels of practice and principles: A questioning technique A method of eliciting interviewee-generated metaphors A method of studying how people do things A coherent research strategy based on ‘clean’ principles. CLI is also an integral part of a new action research methodology, Modelling Shared Reality which suggests that by paying careful attention to the language they use, qualitative researchers can reduce undesired influence and unintended bias during all stages of research—design, data gathering, analysis and reporting.n, data gathering, analysis and reporting.
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https://bucks.repository.guildhe.ac.uk/id/eprint/17819/ +
, https://constructivist.info/12/2/139 +
, https://www.ingentaconnect.com/contentone/imp/jcs/2020/00000027/f0020001/art00005 +
, https://cleanlanguage.co.uk/articles/articles/37/ +
, https://www.researchgate.net/publication/318598187 +
, https://www.researchgate.net/publication/318724048 +
, https://muni.cz/research/publications/1301031 +
, https://researchonline.ljmu.ac.uk/id/eprint/15690/ +
, https://ursa.mercer.edu/handle/10898/12322 +
, http://academia.edu/attachments/30371322/download_file +
, http://epubs.surrey.ac.uk/845188/ +
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| rdfs:comment |
Clean language interviewing (CLI), sometim … Clean language interviewing (CLI), sometimes shortened to clean interviewing, aims to maximise the reliability that information collected during an interview derives from the interviewee. CLI seeks to address some of the "threats to validity and reliability" that can occur during an interview and to increase the "trustworthiness" of the data collected. It does this by employing a technique that minimises the unintended introduction of interviewer content, assumption, leading question structure, presupposition, framing, priming, tacit metaphor and nonverbal aspects such as paralanguage and gesture that may compromise the authenticity of the data collected.se the authenticity of the data collected.
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Clean language interviewing
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