data_for_research(<b>reverse-coded</b>).xlsx

This dataset contains the fully preprocessed and reverse‑coded survey data used in “Interplay of Internal and External Factors in Adolescent Risk‑Taking: Insights from Latent Profile and Network Analyses,” submitted to <i>Journal of Social and Personal Relationships</i>. It includes responses from 1,159 Chinese first‑year undergraduates (M_age = 18.2, 62.3% female) collected between May and October 2023 at a university in Guangzhou.<b>Contents</b><b>Demographics:</b>Participant IDAge, sex, only‑child status, urban/rural originHousehold monthly income bracketSubjective social and school status (MacArthur Scale scores)<b>Psychosocial Measures:</b><b>Brief Self‑Control Scale (BSCS):</b> 7 items (reverse‑coded; higher = poorer self‑control)<b>Perceived Social Support Scale (PSSS):</b> 12 items (family, friends, significant others)<b>Family APGAR:</b> 5 items measuring family function<b>Interpersonal Sensitivity (SCL‑90 subscale):</b> 9 items (reverse‑coded; higher = greater sensitivity)<b>DOSPERT Risk‑Taking (RT) Subscale:</b> 30 items across five domains (Ethical, Financial, Health/Safety, Recreational, Social)<b>Data Structure &amp; Processing:</b>All scales scored according to original manuals; two reverse‑coding steps applied (BSCS, SCL‑90 interpersonal sensitivity)Cases with aberrantly fast or patterned responding were excluded (final N = 1,159)No missing data remain; raw item scores and composite subscale scores are providedVariables are labeled consistently for latent profile analysis (LPA) and subsequent network analysis<b>Usage Notes</b>Intended for replication of latent profile analyses (identifying four interpersonal profiles: SI, IH, IL, SC) and network models (bridge node detection)Each row represents one participant; columns include both item‑level and aggregated subscale scoresRecommended software: R (packages <b>tidyverse</b>, <b>poLCA</b> or <b>mclust</b>, <b>qgraph</b>/<b>bootnet</b>)