Survey Dataset and Python Code for Preprocessing, Statistical Tests

<b>Purpose –</b> This study examines why individuals remain in or exit social media groups by integrating Diffusion of Innovation, Social Identity Theory, and the Stimulus–Organism–Response framework, with emphasis on group-level drivers of retention.<b>Design/methodology/approach –</b> A cross-sectional survey of 551 participants was analyzed using descriptive statistics, confirmatory factor analysis, and structural equation modelling with robust estimation for ordinal data. Mediation was tested via bootstrapping and moderation via latent interaction, with covariates controlled. Supporting figures and tables are available in the repositoryData processing was implemented in Python 3.11 and attached are all the python scripts used for preprocessing , and statistical Analysis and also the questionnaire used for the study.<br>