| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Methods in Psychology, Vol 7, Iss , Pp 100103- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2590-2601 |
| DOI: |
10.1016/j.metip.2022.100103 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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