Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 6 |
Descriptor
Addictive Behavior | 6 |
Internet | 6 |
Longitudinal Studies | 6 |
Foreign Countries | 2 |
Undergraduate Students | 2 |
Adolescent Attitudes | 1 |
Age Differences | 1 |
Aggression | 1 |
Attention | 1 |
Autism | 1 |
Behavior Change | 1 |
More ▼ |
Source
European Journal of… | 1 |
Human Communication Research | 1 |
International Journal of… | 1 |
Journal of Adolescent Research | 1 |
Journal of Autism and… | 1 |
TechTrends: Linking Research… | 1 |
Author
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Information Analyses | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 2 |
Elementary Education | 1 |
High Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hirota, Tomoya; Takahashi, Michio; Adachi, Masaki; Sakamoto, Yui; Nakamura, Kazuhiko – Journal of Autism and Developmental Disorders, 2021
Despite increasing attention to internet addiction (IA) in both clinical practice and research, our understanding of longitudinal changes of IA status is limited. In the present study, we employed latent transition analysis to investigate patterns of transitions and the stability of IA status among 5483 students (aged 9-12 years) over the two-year…
Descriptors: Elementary School Students, Internet, Addictive Behavior, Symptoms (Individual Disorders)
Besalti, Metin; Satici, Seydi Ahmet – TechTrends: Linking Research and Practice to Improve Learning, 2022
Stay-at-home orders and quarantines have not only shifted traditional face-to-face learning to online learning, but have also led to greatly increased consumption of digital devices during the coronavirus (COVID-19) pandemic. Thus, many students who were new to online learning were forced into a new environment. The purpose of this two-wave…
Descriptors: Internet, Addictive Behavior, Structural Equation Models, Online Courses
Stavropoulos, Vasilis; Kuss, Daria; Griffiths, Mark; Motti-Stefanidi, Frosso – Journal of Adolescent Research, 2016
Over the last decade, research on Internet addiction (IA) has increased. However, almost all studies in the area are cross-sectional and do not examine the context in which Internet use takes place. Therefore, a longitudinal study examined the role of conscientiousness (as a personality trait) and classroom hostility (as a contextual factor) in…
Descriptors: Longitudinal Studies, Adolescent Attitudes, Internet, Addictive Behavior
Ariyabuddhiphongs, Vanchai – International Journal of Mental Health and Addiction, 2012
This paper uses the social cognitive theory model to review the literature on older adult gambling, and related personal and environment characteristics. Results show that lottery is the kind of gambling most frequently played by older adults, followed by casino games. Older adults take trips to casinos to socialize, find excitement, and win…
Descriptors: Older Adults, Program Effectiveness, Longitudinal Studies, Epistemology
Kerkhof, Peter; Finkenauer, Catrin; Muusses, Linda D. – Human Communication Research, 2011
This article examines how compulsive Internet use and marital well-being are related to each other. We suggest that they are negatively related and explore whether compulsive Internet use predicts marital well-being or vice versa. The relation between compulsive Internet use and marital well-being is tested in a two-wave prospective study among…
Descriptors: Marital Satisfaction, Internet, Longitudinal Studies, Marriage
Huang, Chiungjung – European Journal of Psychology of Education, 2010
This longitudinal study examined five indices of stability and change in Internet addiction: structural stability, mean-level stability, differential stability, individual-level stability, and ipsative stability. The study sample was 351 undergraduate students from end of freshman year to end of junior year. Convergent findings revealed stability…
Descriptors: Undergraduate Students, Addictive Behavior, Profiles, Internet