Advanced Statistical Modeling of Nomophobia in College Students: A Structural Equation and Multilevel Analysis

Read full text
Authors: Adriana Vilela, Lorena Chávez Balseca, Daniel Armas, Diego Naunay
Cited by: 0
References: 22

Abstract

With the aim of analyzing nomophobia in university students using advanced statistical modeling techniques, including structural equations (SEM) and multilevel analysis (MLM). A sample of 700 students was studied. A strong negative correlation between anxiety and self-esteem was identified (r =-0.915). The multilevel model showed that the variation in nomophobia levels between universities is minimal, indicating that individual factors have greater weight. The analyses revealed that anxiety (coefficient=0.037; p

Fields of Study & Subjects

Impact of Technology on Adolescents Technostress in Professional Settings Communication and COVID-19 Impact

Publication details

Journal / source
WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Volume
23
Pages
1–1
Publication date
2 January 2026
Language
EN