User experiences with digital future-self interventions in the contexts of smoking and physical activity: A mixed methods multi-study exploration - Data and analysis code

This repository contains data and analysis code underlying the paper "User experiences with digital future-self interventions in the contexts of smoking and physical activity: A mixed methods multi-study exploration" by Kristell M. Penfornis, Nele Albers, Willem-Paul Brinkman, Mark A. Neerincx, Andrea W.M. Evers, Winifred A. Gebhardt, and Eline Meijer. This includes 1) the data underlying the analysis for study 2, 2) scripts for data preprocessing and for computing the mean effort per activity for study 2, and 3) the SPSS syntaxes used for the analyses for all three studies.<br><strong>Data underlying analysis for study 2</strong>The folder "Study_2/Raw_Data" contains the data underlying the analysis for study 2. This includes:Data from participants' Prolific profiles (e.g., age, gender).Data from the prescreening questionnaire (e.g., smoking frequency).Data from the conversational sessions with the text-based virtual coach Kai (e.g., effort spent on activities).This data is derived from the data published in this repository: https://doi.org/10.4121/1d9aa8eb-9e63-4bf5-98a3-f359dbc932a4.<br><strong>Scripts for data preprocessing and mean effort computation for study 2</strong>The folder "Study_2" further contains scripts for data preprocessing and for computing the mean effort per activity for study 2.<br><strong>SPSS syntaxes</strong>The folder "Analysis_Syntax_SPSS" contains the SPSS syntaxes used for the analyses for all three studies.<br><strong>Additional resources</strong>The implementation of the text-based virtual coach Kai used in study 2 can be found here: https://doi.org/10.5281/zenodo.11102861.The preregistration of the study used to collected the data for study 2 in the Open Science Framework (OSF) can be found here: https://doi.org/10.17605/OSF.IO/78CNR.