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Preliminary psychometric scale development using the mixed methods Delphi technique

Yavor Dragostinov Orcid Logo, Daney Harðardóttir, Peter Edward McKenna, David A. Robb, Birthe Nesset, Muneeb Ahmad Orcid Logo, Marta Romeo, Mei Yii Lim, Chuang Yu, Youngkyoon Jang, Mohammed Diab, Angelo Cangelosi, Yiannis Demiris, Helen Hastie, Gnanathusharan Rajendran

Methods in Psychology, Volume: 7, Start page: 100103

Swansea University Author: Muneeb Ahmad Orcid Logo

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DOI (Published version): 10.1016/j.metip.2022.100103

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 we...

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Published in: Methods in Psychology
ISSN: 2590-2601
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60767
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spelling 2025-10-15T15:50:24.4669119 v2 60767 2022-08-05 Preliminary psychometric scale development using the mixed methods Delphi technique 9c42fd947397b1ad2bfa9107457974d5 0000-0001-8111-9967 Muneeb Ahmad Muneeb Ahmad true false 2022-08-05 MACS 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. Journal Article Methods in Psychology 7 100103 Elsevier BV 2590-2601 1 12 2022 2022-12-01 10.1016/j.metip.2022.100103 https://doi.org/10.1016/j.metip.2022.100103 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Another institution paid the OA fee This work was supported by the UKRI Node on Trust (EP/V026682/1). 2025-10-15T15:50:24.4669119 2022-08-05T16:48:14.5952630 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Yavor Dragostinov 0000-0002-8090-9614 1 Daney Harðardóttir 2 Peter Edward McKenna 3 David A. Robb 4 Birthe Nesset 5 Muneeb Ahmad 0000-0001-8111-9967 6 Marta Romeo 7 Mei Yii Lim 8 Chuang Yu 9 Youngkyoon Jang 10 Mohammed Diab 11 Angelo Cangelosi 12 Yiannis Demiris 13 Helen Hastie 14 Gnanathusharan Rajendran 15 60767__25865__43ba023cf4264e56bc1d7a3d131e938c.pdf Dragostinov_et_al_(accepted).docx 2022-11-21T14:21:58.8710171 Output 187388 application/vnd.openxmlformats-officedocument.wordprocessingml.document Accepted Manuscript true false
title Preliminary psychometric scale development using the mixed methods Delphi technique
spellingShingle Preliminary psychometric scale development using the mixed methods Delphi technique
Muneeb Ahmad
title_short Preliminary psychometric scale development using the mixed methods Delphi technique
title_full Preliminary psychometric scale development using the mixed methods Delphi technique
title_fullStr Preliminary psychometric scale development using the mixed methods Delphi technique
title_full_unstemmed Preliminary psychometric scale development using the mixed methods Delphi technique
title_sort Preliminary psychometric scale development using the mixed methods Delphi technique
author_id_str_mv 9c42fd947397b1ad2bfa9107457974d5
author_id_fullname_str_mv 9c42fd947397b1ad2bfa9107457974d5_***_Muneeb Ahmad
author Muneeb Ahmad
author2 Yavor Dragostinov
Daney Harðardóttir
Peter Edward McKenna
David A. Robb
Birthe Nesset
Muneeb Ahmad
Marta Romeo
Mei Yii Lim
Chuang Yu
Youngkyoon Jang
Mohammed Diab
Angelo Cangelosi
Yiannis Demiris
Helen Hastie
Gnanathusharan Rajendran
format Journal article
container_title Methods in Psychology
container_volume 7
container_start_page 100103
publishDate 2022
institution Swansea University
issn 2590-2601
doi_str_mv 10.1016/j.metip.2022.100103
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url https://doi.org/10.1016/j.metip.2022.100103
document_store_str 1
active_str 0
description 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.
published_date 2022-12-01T05:05:55Z
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