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/aca0e0c8-71b0-4bcf-b7af-0f8ffc8f3c2c

van Oudheusden, Jonathan (2024): Code underlying: Assessing Behavioral Changes through eHealth in Smoking Cessation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/aca0e0c8-71b0-4bcf-b7af-0f8ffc8f3c2c.v1

Dataset

• Public Health and Health Services
• Information and Communication Services
• Medical and Health Sciences

behavior change, chat-bot, conversational agent, digital health, eHealth, physical activity, smoking cessation support, Thematic Analysis, user needs, virtual coach

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Jonathan van Oudheusden

Thematic analysis of the responses by participants in a smoking cessation study, focusing on the efficacy of persuasive activities.

This dataset contains the Python code to process the data, calculate agreement and generate figures. It also contains thematic codes from the thematic analysis process

• 2024-02-01 first online, published, posted

4TU.ResearchData

• https://osf.io/nuy4w

TU Delft, Faculty Electrical Engineering, Mathematics and Computer Science