Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 9 |
Descriptor
| Addictive Behavior | 9 |
| Classification | 9 |
| Foreign Countries | 4 |
| Internet | 4 |
| Measures (Individuals) | 3 |
| Risk | 3 |
| Adolescents | 2 |
| Case Studies | 2 |
| College Students | 2 |
| Gender Differences | 2 |
| Parent Attitudes | 2 |
| More ▼ | |
Source
Author
Publication Type
| Journal Articles | 9 |
| Reports - Research | 9 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Secondary Education | 2 |
| Early Childhood Education | 1 |
| Elementary Secondary Education | 1 |
| High Schools | 1 |
| Preschool Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hussain, Irshad; Cakir, Ozlem; Ozdemir, Burhanettin – Education and Information Technologies, 2020
This study determined the internet addiction profiles of university students with latent class analysis based on their responses to Internet Addiction Test (IAT). The study group consisted of 480 university students. The participants were classified into four groups according to their total score: "normal (0-30), mild (31-49), moderate…
Descriptors: Internet, Addictive Behavior, College Students, Scores
Kaban, Abdullatif – International Journal on Social and Education Sciences, 2021
Social media, one of the modern communications and socialization channels, has become one of the indispensable tools of education. This study, it was aimed to reveal the perceptions of teachers, students, and parents about the concept of "social media" through metaphor. In this study, which used a phenomenology design, which is one of…
Descriptors: Social Media, Parent Attitudes, Student Attitudes, Teacher Attitudes
Taylor, Purcell; El-Sabawi, Taleed; Cangin, Causenge – Journal of American College Health, 2016
Objective: To improve the CAGE (Cut down, Annoyed, Guilty, Eye opener) questionnaire's predictive accuracy in screening college students. Participants: The sample consisted of 219 midwestern university students who self-administered a confidential survey. Methods: Exploratory factor analysis, confirmatory factor analysis, receiver operating…
Descriptors: College Students, Factor Analysis, Screening Tests, Factor Structure
Wu, Anise M. S.; Lau, Joseph T. F.; Cheng, Kit-man; Law, Rita W.; Tse, Vincent W. S.; Lau, Mason M. C. – Journal of Early Adolescence, 2018
Internet addiction (IA) is prevalent among adolescents and imposes a serious public health threat. Familial risk and protective factors may co-exist and interact with each other to determine IA. We conducted a cross-sectional survey among 9,618 Secondary 1 to 4 students in Hong Kong, China. About 16% of the surveyed students were classified as…
Descriptors: Risk, Addictive Behavior, Multivariate Analysis, Intervention
Burusic, Josip; Sakic, Marija; Koprtla, Natalija – Health Education Journal, 2014
Objective: The aim of this study was to explore parental perceptions of adolescent health behaviours and to examine to what extent parents' perceptions of their children's health behaviours are determined by the family's socio-demographic characteristics. Method: Participants in the study were 605 parents. They completed questionnaires in which…
Descriptors: Parent Attitudes, High School Students, Health Behavior, Eating Habits
Braverman, Julia; LaBrie, Richard A.; Shaffer, Howard J. – Psychological Assessment, 2011
This article presents findings from the first taxometric study of actual gambling behavior to determine whether we can represent the characteristics of extreme gambling as qualitatively distinct (i.e., taxonic) or as a point along a dimension. We analyzed the bets made during a 24-month study period by the 4,595 most involved gamblers among a…
Descriptors: Internet, Public Policy, Classification, Team Sports
Olason, Daniel Thor; Kristjansdottir, Elsa; Einarsdottir, Hafdis; Haraldsson, Haukur; Bjarnason, Geir; Derevensky, Jeffrey L. – International Journal of Mental Health and Addiction, 2011
This study reports findings on Internet gambling and problem gambling among Icelandic youth. Participants were 1.537 13-18 year-old students, 786 boys and 747 girls. Results revealed that 56.6% had gambled at least once in the past 12 months and 24.3% on the Internet. Gender and developmental differences were found for Internet gambling, as boys…
Descriptors: Adolescents, Internet, Foreign Countries, Addictive Behavior
Kimberley, Dennis – Forum on Public Policy Online, 2010
The intent of this paper is to contribute to scholarship, knowledge and public policy regarding child maltreatment and parenting capacity within the context of parental substance use and abuse. One goal is to give voice to the children who have moved to, or who are approaching, the threshold for needing a type of protection that is neither…
Descriptors: Child Abuse, Child Welfare, Public Policy, Social Work
Cunningham-Williams, Renee M.; Zayas, Luis E.; Books, Samantha J.; Cottler, Linda B. – International Journal of Mental Health and Addiction, 2008
Pathological Gambling Disorder (PGD) is internationally prevalent and contributes to significant disruption and impairment in a gambler's life. For accurate diagnosis and treatment planning, clinicians require standardized criteria as in commonly used DSM and ICD-10 taxonomies, which are conceptually clear, valid, and culturally appropriate. We…
Descriptors: Focus Groups, Clinical Diagnosis, Classification, Psychometrics

Peer reviewed
Direct link
