Replication Data for: Adapting Longitudinal Personal Network Research through Participation

Overview This repository contains data and reproducible analysis code for the paper "Adapting Longitudinal Personal Network Research through Participation: Reflections from a Rural Study" by Hâncean MG, McCarty C, Molina JL, Geantă M, Lerner J, Mihăilă BE, Cioroboiu C and Oană I. The study conducted a three-wave longitudinal personal network survey in a rural Romanian community using link-tracing (respondent-driven sampling) methodology and a personal network analysis research design. The data document participant networks, recruitment patterns, interview quality metrics, and network retention across waves. Contents Data Files (R format, .rds) myEgo_w123_updated.rds (266 obs, 75 variables) Ego-level panel data across three waves Demographics, income, education, household characteristics Interview metadata and duration myAlter_w123_updated.rds (5,084 obs, 25 variables) Network member (alter) data for each ego at each wave Alter demographics as reported by ego Enables network size calculation and retention analysis my_link_data_clean.rds (407 obs, 43 variables) Link-tracing (RDS) chain node data Recruitment outcomes for all individuals contacted Consolidated demographic attributes across waves my_link_arcs_clean.rds (318 obs, 3 variables) Edgelist of link-tracing referral relationships Network ties showing who referred whom Enables visualization of RDS recruitment chain Documentation supplementary_material.html — Complete html document with reproducible analysis code (R + markdown)