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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
Tas, Ibrahim – Malaysian Online Journal of Educational Technology, 2019
The objective of this study is to test whether depression, anxiety, stress, social support and resilience have a significant effect on predicting internet addiction in university students. For this purpose, the pattern of the associations between the variables was examined. The study was conducted on 349 students attending two different…
Descriptors: Correlation, Depression (Psychology), Anxiety, Stress Variables
Tas, Ibrahim – Eurasian Journal of Educational Research, 2019
Purpose: The purpose of this research was to investigate the pattern of relationship between attachment styles, gaming addiction and empathy among adolescents. Research Methods: The correlational survey method was used herein. In order to explain the pattern of relationship between the variables, a theoretical model based on the literature was…
Descriptors: Correlation, Attachment Behavior, Empathy, Adolescents
Arslan, Nihan; Kiper, Aydin – Malaysian Online Journal of Educational Technology, 2018
The aim of study is to investigate the relationship between self-disclosure and internet addiction. Self-Disclosure Scale and Internet Addiction Scale were applied to students. Results indicated a negative correlation between self-disclosure and internet addiction. Self-disclosure was negative predicted by internet addiction in the structural…
Descriptors: Self Disclosure (Individuals), Internet, Addictive Behavior, Correlation
Browne, Matthew; Rockloff, Matthew; Rawat, Vijay – Sociological Methods & Research, 2018
Development and refinement of self-report measures generally involves selecting a subset of indicators from a larger set. Despite the importance of this task, methods applied to accomplish this are often idiosyncratic and ad hoc, or based on incomplete statistical criteria. We describe a structural equation modeling (SEM)-based technique, based on…
Descriptors: Structural Equation Models, Scaling, Evaluation Criteria, Psychometrics
Baturay, Meltem Huri; Toker, Sacip – Education and Information Technologies, 2019
Internet addiction among college students in terms of causes and effects are investigated. Correlation study method is utilized; structural equation modelling is applied to analyze the data. There are fifteen hypotheses generated for the model. The data is collected via numerous instruments proven as reliable and valid by the previous studies.…
Descriptors: Internet, Addictive Behavior, Undergraduate Students, Games
Kircaburun, Kagan – Journal of Education and Practice, 2016
In this study, direct and indirect effects of self-esteem, daily internet use and social media addiction to depression levels of adolescents have been investigated by testing a model. This descriptive study was conducted with 1130 students aged between 12 and 18 who are enrolled at different schools in southern region of Aegean. In order to…
Descriptors: Foreign Countries, Depression (Psychology), Measures (Individuals), Self Concept Measures
Sahin, Mehmet; Gumus, Yusuf Yasin; Dincel, Sezen – Educational Psychology, 2016
The primary aim of this study was to investigate the correlation between game addiction and academic achievement. The secondary aim was to adapt a self-report instrument to measure game addiction. Three hundred and seventy high school students participated in this study. Data were collected via an online questionnaire that included a brief…
Descriptors: Addictive Behavior, Correlation, Academic Achievement, High School Students
Celik, Vehbi; Yesilyurt, Etem; Korkmaz, Ozgen; Usta, Ertugrul – EURASIA Journal of Mathematics, Science & Technology Education, 2014
In this research internet addiction has been dealt with as predictor and predicted variable, this situation has been analyzed from the perspectives of loneliness and cognitive absorption and a tangible model has been put forth. Participant group has been constituted by 338 teacher candidates. Research data were collected using loneliness scale…
Descriptors: Internet, Addictive Behavior, Predictor Variables, Cognitive Processes
Ayas, Tuncay – Educational Sciences: Theory and Practice, 2012
This study is conducted to determine the relationship between the internet and computer games addiction level and the shyness among high school students. The participants of the study consist of 365 students attending high schools in Giresun city centre during 2009-2010 academic year. As a result of the study a positive, meaningful, and high…
Descriptors: Addictive Behavior, High School Students, Shyness, Internet
Iskender, Murat; Akin, Ahmet – Turkish Online Journal of Educational Technology - TOJET, 2011
The purpose of this research is to examine the relationship of self-compassion and internet addiction. Participants were 261 university students who completed a questionnaire package that included the Self-compassion Scale and the Online Cognition Scale. The hypothesis model was tested through structural equation modeling. In correlation analysis,…
Descriptors: Structural Equation Models, Path Analysis, Internet, Addictive Behavior

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