Binomial cut-level validity (BCV)

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


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".



Universidade Federal Fluminense


Validity Estimation, Validity Method, Binomial Distribution


Conselho Nacional de Desenvolvimento Científico e Tecnológico

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