Loading…

Classes of problematic smartphone use and information and communication technology (ICT) self-efficacy

The role of information and communication technology (ICT) in adolescent development is considered a double-edged sword because it can both meet the needs of adolescents and cause potential damage to them. Previous studies primarily relied on variable-centered approaches and failed to reveal the het...

Full description

Saved in:
Bibliographic Details
Published in:Journal of applied developmental psychology 2022-11, Vol.83, p.101481, Article 101481
Main Authors: Lai, Xiaoxiong, Nie, Chang, Huang, Shunsen, Yao, Yuanwei, Li, Yajun, Dai, Xinran, Wang, Yun
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The role of information and communication technology (ICT) in adolescent development is considered a double-edged sword because it can both meet the needs of adolescents and cause potential damage to them. Previous studies primarily relied on variable-centered approaches and failed to reveal the heterogeneity among groups concerning problematic technology use and ICT literacy. This study employed a person-centered approach to identify distinct subgroups and examined their associations with smartphone use content types. Using a longitudinal design, we investigated 1275 Chinese adolescents (Mage = 14.22 years, SD = 1.23) twice in two years. Latent class analysis and regression mixture model were implemented. Six classes were identified. Less use of entertainment and more use of information-seeking and learning types of smartphone content a year earlier were predictors of well-adjusted group membership. The heterogeneity of ICT use among adolescents found in this study emphasizes the importance of personalized policy advice. •Heterogeneity of ICT self-efficacy and PSU was examined.•Six classes of PSU and ICT self-efficacy were identified in adolescent sample.•Predictive effects of smartphone use content types were explored.
ISSN:0193-3973
1873-7900
DOI:10.1016/j.appdev.2022.101481