Creating Implicit Measure Stimulus Sets Using a Multi-Step Piloting Method

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.
Main Authors
Format
Articles Research article
Published
2023
Series
Subjects
Publication in research information system
Publisher
MDPI AG
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202305102943Use this for linking
Review status
Peer reviewed
ISSN
2409-9279
DOI
https://doi.org/10.3390/mps6030047
Language
English
Published in
Methods and Protocols
Citation
  • 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
License
CC BY 4.0Open Access
Additional information about funding
This submission was supported by the Griffith University Centre for Mental Health Quality Publication Scheme.
Copyright© 2023 by the authors. Licensee MDPI, Basel, Switzerland.

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