Discovering the critical number of respondents to validate an item in a questionnaire: The Binomial Cut-level Content Validity proposal
The question that drives this research is: "How to discover the number of respondents that are necessary to validate items of a questionnaire as actually essential to reach the questionnaire's proposal?" Among the efforts in this subject, \cite{Lawshe1975, Wilson2012, Ayre_CVR_2014} a...
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Zusammenfassung: | The question that drives this research is: "How to discover the number of
respondents that are necessary to validate items of a questionnaire as actually
essential to reach the questionnaire's proposal?" Among the efforts in this
subject, \cite{Lawshe1975, Wilson2012, Ayre_CVR_2014} approached this issue by
proposing and refining the Content Validation Ratio (CVR) that looks to
identify items that are actually essentials. Despite their contribution, these
studies do not check if an item validated as "essential" should be also
validated as "not essential" by the same sample, which should be a paradox.
Another issue is the assignment a probability equal a 50\% to a item be
randomly checked by a respondent as essential, despite an evaluator has three
options to choose. Our proposal faces these issues, making it possible to
verify if a paradoxical situation occurs, and being more precise in
recommending whether an item should either be retained or discarded from a
questionnaire. |
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DOI: | 10.48550/arxiv.2410.11151 |