Data and results for the bachelor thesis: Examining the Efficacy of Persuasive eHealth Applications in Facilitating Smoking Cessation
DOI:10.4121/a1423eaa-c2aa-496e-a814-c5a49ae0b913.v1
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DOI: 10.4121/a1423eaa-c2aa-496e-a814-c5a49ae0b913
DOI: 10.4121/a1423eaa-c2aa-496e-a814-c5a49ae0b913
Datacite citation style:
Maguire, Aaron (2024): Data and results for the bachelor thesis: Examining the Efficacy of Persuasive eHealth Applications in Facilitating Smoking Cessation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a1423eaa-c2aa-496e-a814-c5a49ae0b913.v1
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Dataset
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Licence CC BY 4.0
This dataset contains data and results from the analysis conducted for the bachelor thesis, "Examining the Efficacy of Persuasive eHealth Applications in Facilitating Smoking Cessation". In this study, a thematic analysis was performed which was then peer coded and analysed to determine the efficacy of persuasive activities in convincing smokers of the utility of competencies for quitting smoking. Based on this analyis, recommendations were then provided.
History
- 2024-01-29 first online, published, posted
Publisher
4TU.ResearchDataFormat
.zip, .md, .xlsx, .png, .pyReferences
Derived from
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 Electrical Engineering, Mathematics and Computer ScienceDATA
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