Binomial cut-level validity (BCV)

Published: 4 December 2023| Version 2 | DOI: 10.17632/jsnryhhpph.2
Contributor:
Helder Gomes Costa

Description

This is an "xlsx" tabular dataset that shows the values of the number of respondents (n_critical) that are necessary to agree with a statement to validate it. This version covers: - Sample size: from 5 to 1000 respondents - Fundamentals: binomial distribution of probabilities How to use the dataset The data should be applied according the "Binomial cut-level validity (BCV)" technique, in validating whether an item is "Essential" or "Unnecessary" to be used in a questionnaire or even in a modelling. This technique is described in "Discovering the critical number of respondents necessary to validate an item in a questionnaire: the Binomial Cut-level Content Validity".

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Institutions

Universidade Federal Fluminense

Categories

Validity Estimation, Validity Method, Binomial Distribution

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Licence