Data and code underlying the research project: Users’ attitude towards adding human feedback when preparing for quitting smoking/vaping with a virtual coach. A mixed-methods analysis
doi:10.4121/04ade129-4986-43da-8cdd-f3082d65c00b.v4
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
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doi: 10.4121/04ade129-4986-43da-8cdd-f3082d65c00b
doi: 10.4121/04ade129-4986-43da-8cdd-f3082d65c00b
Datacite citation style:
Naydenov, Yoan (2024): Data and code underlying the research project: Users’ attitude towards adding human feedback when preparing for quitting smoking/vaping with a virtual coach. A mixed-methods analysis. Version 4. 4TU.ResearchData. dataset. https://doi.org/10.4121/04ade129-4986-43da-8cdd-f3082d65c00b.v4
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Dataset
choose version:
version 4 - 2024-06-24 (latest)
version 3 - 2024-06-21
version 2 - 2024-06-19
version 1 - 2024-06-19
This code and results are part of the research project done by Yoan Naydenov on the topic of why do people prefer to receive human feedback during the smoking cessation process. In this repository the coding of all responses could be seen as well as the process of calculating the Cohen's and Brennan-Prediger's kappa. Furthermore, the python script used for the quantitative analysis is published. All results can be found in the folder results.
history
- 2024-06-19 first online
- 2024-06-24 published, posted
publisher
4TU.ResearchData
format
python scripts/pycharm, excel files/xlsx, image/jpg
funding
- This work is part of the multidisciplinary research project Perfect Fit, which is supported by several funders organized by the Netherlands Organization for Scientific Research (NWO), program Commit2Data - Big Data & Health (project number 628.011.211). Besides NWO, the funders include the Netherlands Organisation for Health Research and Development (ZonMw), Hartstichting, the Ministry of Health, Welfare and Sport (VWS), Health Holland, and the Netherlands eScience Center.
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science
DATA
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