z-logo
open-access-imgOpen Access
Vignettes: a data collection technique to handle the differential operation of items in surveys
Author(s) -
Antônio Augusto Moura da Silva,
Willerson Lucas Campos-Silva,
Maria Aparecida Gouvêa,
Milton Carlos Farina
Publication year - 2019
Publication title -
brazilian business review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.176
H-Index - 4
ISSN - 1808-2386
DOI - 10.15728/bbr.2019.16.1.2
Subject(s) - vignette , clarity , analogy , construct (python library) , simplicity , set (abstract data type) , perception , psychology , computer science , applied psychology , subject (documents) , data collection , value (mathematics) , data science , social psychology , management science , sociology , epistemology , social science , world wide web , engineering , programming language , biochemistry , chemistry , philosophy , neuroscience , machine learning
Vignettes are scenarios used in many areas of academic research, whose main application is related to situations in which judgments about people are subject to biases or distortions. Despite the wide use of vignettes in surveys, the recommendations for their creation are limited in the literature. Thus, this study aims to review and describe criteria presented in the literature for robust textualization of vignettes. This study presents a literature review on the use of vignettes and describes a minimum set of criteria (plausibility, clarity, simplicity, content validity and analogy between the vignette and the construct) for the judicious application of this methodology. They have presented four vignettes constructed from the literature review and validated by panel of experts, with the purpose of capturing the perception of respondents on the protagonists’ actions in scenarios about co-creation value in a health service. In this way, the study conceives the essential elements for the development of this methodology.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom