An Easily Accessible, Semi-Automated Approach to Creating Personalized Normative Feedback and Risk Feedback Graphics
Via the described syntax and graphic generation, researchers are then able to create semi-automated personalized normative feedback and risk feedback graphics. This tutorial may help increase the dissemination of complex personalized normative feedback interventions.
Authors
- Katie A. Witkiewitz (ORCID: https://orcid.org/0000-0002-1086-3067)
- Richard J. Viken (ORCID: https://orcid.org/0000-0001-5358-2540)
- Teresa A. Treat (ORCID: https://orcid.org/0000-0002-6127-3999)
- Scott E. King (ORCID: https://orcid.org/0000-0002-0868-0149)
- Jack T. Waddell (ORCID: https://orcid.org/0000-0001-8406-6557)
- William R. Corbin (ORCID: https://orcid.org/0000-0001-8665-7473)
Institutions
- University of Iowa (US)
- University of New Mexico (US)
- Indiana University Bloomington (US)
- Arizona State University (US)
Publication Details
- Journal
- Journal of Studies on Alcohol and Drugs
- Published
- 2024-11-26
- DOI
- https://doi.org/10.15288/jsad.24-00003
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00