Analysis code underlying the publication: 'Analyzing users’ introductions to human coaches'.
doi:10.4121/f4fed48e-339b-4b4f-a696-5c835b8dbf84.v1
The doi 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/f4fed48e-339b-4b4f-a696-5c835b8dbf84
doi: 10.4121/f4fed48e-339b-4b4f-a696-5c835b8dbf84
Datacite citation style:
van Oudheusden, Jonathan (2024): Analysis code underlying the publication: 'Analyzing users’ introductions to human coaches'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/f4fed48e-339b-4b4f-a696-5c835b8dbf84.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset is from a smoking/vaping cessation study, focusing on participant introductions to human coaches. It includes Python code for data processing, agreement calculation, figure generation, and correlation analysis, along with thematic codes from the analysis of these introductions. To run all the code, this dataset should be combined with the dataset which will be available in the future at: https://osf.io/78cnr.
history
- 2024-06-21 first online, published, posted
publisher
4TU.ResearchData
format
zip file with: python, markdown, png, pdf, txt, docx, and csv files
associated peer-reviewed publication
Perfect Fit - Learning when to involve a human coach in an eHealth application for preparing for quitting smoking or vaping
references
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science
DATA
files (2)
- 2,537 bytesMD5:
fec1e2429470f975c50102150cb61e80
ReadMe.md - 423,716 bytesMD5:
1874b5ce46644c16d96a761d360cb41f
Analysis code for 'Analyzing users’ introductions to human coaches'.zip -
download all files (zip)
426,253 bytes unzipped