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 displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
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

Usage statistics

160

views

downloads

Keywords

Brennan-Prediger's kappa Cohen's kappa Cronbach's alpha quantitative analysis quantitative analysis, Cohen's kappa, Brennan-Prediger's kappa, thematic analysis thematic analysis

Licence

CC BY 4.0

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by Yoan Naydenov

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.