A1 Journal article (refereed)
Creating Implicit Measure Stimulus Sets Using a Multi-Step Piloting Method (2023)
Phipps, D. J., & Hamilton, K. (2023). Creating Implicit Measure Stimulus Sets Using a Multi-Step Piloting Method. Methods and Protocols, 6(3), Article 47. https://doi.org/10.3390/mps6030047
JYU authors or editors
Publication details
All authors or editors: Phipps, Daniel J.; Hamilton, Kyra
Journal or series: Methods and Protocols
eISSN: 2409-9279
Publication year: 2023
Publication date: 03/05/2023
Volume: 6
Issue number: 3
Article number: 47
Publisher: MDPI AG
Publication country: Switzerland
Publication language: English
DOI: https://doi.org/10.3390/mps6030047
Research data link: https://doi.org/10.17605/OSF.IO/4ZDWJ
Publication open access: Openly available
Publication channel open access: Open Access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/86863
Abstract
The effect of arbitrary stimulus selection is a persistent concern when employing implicit measures. The current study tests a data-driven multi-step procedure to create stimulus items using a combination of free-recall and survey data. Six sets of stimulus items were created, representing healthy food and high sugar items in children, adolescents, and adults. Selected items were highly representative of the target concepts, in frequent use, and of near equal length. Tests of the piloted items in two samples showed slightly higher implicit measure–behavior relations compared to a previously used measure, providing preliminary support for the value in empirically based stimulus selection. Further, the items reported as being the most associated with their target concepts differed notably from what one may expect from the guidelines or population consumption patterns, highlighting the importance of informed stimulus selection.
Keywords: consumer behaviour; choice; comparison
Free keywords: implicit measures; implicit attitude; implicit association test
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2023
Preliminary JUFO rating: 1