Persistent Identifier
|
doi:10.48349/ASU/C1CWX9 |
Publication Date
|
2025-01-21 |
Title
| Replication Data for: Changing the default meal option at university events to reduce harmful environmental impacts: six randomized controlled trials |
Subtitle
| Plant-based defaults |
Author
| Stecher, Chad (Arizona State University) - ORCID: 0000-0003-2218-3306 |
Point of Contact
|
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Stecher, Chad (Arizona State University) |
Description
| This dataset supports "Changing the default meal option at university events to reduce harmful environmental impacts: six randomized controlled trials," and includes de-identified information on the meal choices of participants at six events held across four academic institutions. The data include age, gender, education, job title, and meal choice (either plant-based or a meal with meat) from 363 event attendees.
This dataset includes the CSV spreadsheet, Stata analytical code that generated the manuscript tables and figures, survey instrument, and related documentation. (2025-01-16) |
Subject
| Earth and Environmental Sciences |
Keyword
| Nutrition Surveys http://id.nlm.nih.gov/mesh/D009749 (MeSH)
Dietary Patterns http://id.nlm.nih.gov/mesh/D000095362 (MeSH)
Food preferences http://id.loc.gov/authorities/subjects/sh85050304 (MeSH) |
Related Publication
| Zhang, A. W., Wharton, C., Cloonan, S., Boronowsky, R., Magesh, V., Braverman, I., Marquez, A., Leidy, H., Wang, M. C., Cleveland, D. A., Jay, J., & Stecher, C. (2024). Changing the default meal option at university events to reduce harmful environmental impacts: Six randomized controlled trials. Appetite, 200, 107572. doi 10.1016/j.appet.2024.107572 https://doi.org/10.1016/j.appet.2024.107572 |
Language
| English |
Producer
| College of Health Solutions (Arizona State University) (CHS) https://chs.asu.edu |
Production Location
| Phoenix, Arizona, USA; Los Angeles, California, USA; Santa Barbara, California, USA; Austin, Texas, USA |
Funding Information
| The Global KAITEKI Center |
Depositor
| Stecher, Chad |
Deposit Date
| 2025-01-16 |
Date of Collection
| Start Date: 2021-07-17 ; End Date: 2022-09-21 |
Data Type
| Survey data |
Software
| Stata/MP, Version: 16.1 |