Symptom-level interactions between digital addiction and psychological resources: a large-scale cross-validation study
Yazarlar (1)
Dr. Öğr. Üyesi Abdullah ALDEMİR Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Frontiers in Psychology (Q1) | ||
| Dergi ISSN | 1664-1078 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | Türkçe | Basım Tarihi | 04-2026 |
| Cilt / Sayı / Sayfa | 17 / 1 / 1–12 | DOI | 10.3389/fpsyg.2026.1760981 |
| Makale Linki | https://doi.org/10.3389/fpsyg.2026.1760981 | ||
| UAK Araştırma Alanları |
Rehberlik ve Psikolojik Danışmanlık
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| Özet |
| Background: Digital addiction in adolescents is often conceptualized as a latent construct, masking the complex interplay between specific symptoms and psychological resources. This study aims to map the specific symptom-level interactions between digital addiction (Social Media Addiction, Nomophobia) and cognitive resources (Self-Regulation, Self-Efficacy) using a large-scale network analysis approach. Method: The study employed a split-half cross-validation strategy with a total sample of 1,497 adolescents (Mage = 16.07). The dataset was randomly partitioned into Discovery (n = 748) and Validation (n = 749) groups. Network structure was estimated using the Gaussian Graphical Model (GGM) with polychoric correlations. Robustness was assessed via Network Comparison Test (NCT), sensitivity analysis controlling for demographics, and case-dropping bootstrapping. Results: The network analysis … |
| Anahtar Kelimeler |
| adolescents | digital addiction | network analysis | nomophobia | self-regulation | validation study |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 1 |