Datasets and R code for paper entitled "Quantifying the Value of Carbon Label Information in Food Choice using Drift Diffusion Modelling"

These datasets are generated from a choice experiment, a survey questionnaire, and output from a computational modelling (on R) of these data. The OSF repository also includes all R codes and study materials.

Link to the dataset on OSF contains both full and clean (final) data for the (i) individual (trial) level of choice experiment results, (ii) group (collective) level of individual characteristics, and (iii) maaDDM computational modelling outputs.

The OSF folder also contains all R codes used in this study, including the building and running of maaDDM models and regressions used, as well as the materials used to build the choice experiment.

Keywords:
maaDDM, eye-tracking, choice experiment, carbon labels, sustainability, food choice
Subjects:
Climate and climate change
Psychology

Cite this dataset as:
Hinvest, N., Gan, Y., 2024. Datasets and R code for paper entitled "Quantifying the Value of Carbon Label Information in Food Choice using Drift Diffusion Modelling". Version 3. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.17605/OSF.IO/7QHBW.

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Creators

Neal Hinvest
University of Bath

Yu Shuang Gan
University of Bath

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

The study employed a questionnaire survey to gather data on individual characteristics. The study also employed an eye-tracking method, where participants visited the lab to complete a food choice experiment under eye-tracking.

Technical details and requirements:

MS Excel and MS Word required.

Funders

Publication details

Publication date: 21 April 2024
by: University of Bath

Version: 3

DOI: https://doi.org/10.17605/OSF.IO/7QHBW

URL for this record: https://researchdata.bath.ac.uk/1145

Related papers and books

Gan, Y. S., and Hinvest, N. S., 2025. Quantifying the value of carbon label information in food choice using drift diffusion modelling. Journal of Choice Modelling, 56, 100564. Available from: https://doi.org/10.1016/j.jocm.2025.100564.

Related theses

Gan, Y. S., and Hinvest, N. S., 2024. Quantifying the Value of Carbon Label Information in Food Choice using Drift Diffusion Modelling. OSF. Available from: https://doi.org/10.17605/OSF.IO/7QHBW.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Neal Hinvest

Departments:

Faculty of Humanities & Social Sciences
Psychology