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Preliminary psychometric scale development using the mixed methods Delphi technique

Authors :
Yavor Dragostinov
Daney Harðardóttir
Peter Edward McKenna
David A. Robb
Birthe Nesset
Muneeb Imtiaz Ahmad
Marta Romeo
Mei Yii Lim
Chuang Yu
Youngkyoon Jang
Mohammed Diab
Angelo Cangelosi
Yiannis Demiris
Helen Hastie
Gnanathusharan Rajendran
Source :
Methods in Psychology, Vol 7, Iss , Pp 100103- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

This study implemented a Delphi Method; a systematic technique which relies on a panel of experts to achieve consensus, to evaluate which questionnaire items would be the most relevant for developing a new Propensity to Trust scale. Following an initial research team moderation phase, two surveys were administered to academic lecturers, professors and Ph.D. candidates specialising in the fields of either individual differences, human-robot interaction, or occupational psychology. Results from 28 experts produced 33 final questionnaire items that were deemed relevant for evaluating trust. We discuss the importance of content validity when implementing scales, while emphasising the need for more documented scale development processes in psychology. Furthermore, we propose that the Delphi technique could be utilised as an effective and economical method for achieving content validity, while also providing greater scale creation transparency.

Details

Language :
English
ISSN :
25902601
Volume :
7
Issue :
100103-
Database :
Directory of Open Access Journals
Journal :
Methods in Psychology
Publication Type :
Academic Journal
Accession number :
edsdoj.44e4c078a49db95c8bffce0e97337
Document Type :
article
Full Text :
https://doi.org/10.1016/j.metip.2022.100103