A Study on the Internet Addiction of the Middle High School Students (original) (raw)
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Comparison of Internet addicts and non-addicts in Taiwanese high school
Computers in Human Behavior, 2007
This study investigated the difference between Internet addicts and non-addicts in Taiwanese high schools, and focused specifically on their Internet usage patterns, and gratification and communication pleasures. A total of 1708 valid data samples of high school adolescents were collected. Among this sample, 236 subjects (13.8%) were identified as addicts using the eight-item Internet addiction Diagnostic Questionnaire designed by Young [Internet addiction survey [Online]. Available: http://www.pitt.edu/\_ksy/survey.htm\]. The analytical results revealed that Internet addicts spent almost twice as many hours on line on average than the non-addicts. Notably, surfing with a social/entertainment motivation and gratification was positively correlated with Internet addiction. Furthermore, Internet addicts obtained markedly higher overall PIUST scores and scored higher than non-addicts on four subscales (tolerance; compulsive use and withdrawal; related problems, including family, school, health, and other problems; interpersonal and financial problems). While Internet addicts perceived the Internet to have significantly more negative influences on daily routines, school performance, teacher and parental relation than non-addicts, both Internet addicts and non-addicts viewed Internet use as enhancing peer relations. Moreover, students with personalities characterized by dependence, shyness, depression and low self-esteem had a high tendency to become addicted.
2019
Objective: In this present study, the aim was to investigate the level of internet addiction and the effects of the level of internet addiction on health, based on fam ilies’ and children’s viewpoints. Methods: The population of the descriptive of study include d 1410 students. The study data were collected from the participating students and their families separately. The study data were collected from the participating students and their families separatel y. Data collected from students: Personal Informat ion Form, Internet Addiction Test (IAT) was used. Data collec ted from families: Family Personal Information Form and Family-Child Internet Addiction Test (PCIAT) were u sed. Results: In conclusion, according to their IAT scores, of t he students, 91.2% were not internet addicted, 7.9% were likely to be internet addicted, and 0.9% were int rnet addicted. According to their PCIAT scores, of the students, 96.5% had no symptoms and 3.5% had a limi ted number of symptoms. The studen...
Investigation of High School Students’ Internet Addiction inThe Light of Various Variables
Mersin Üniversitesi Eğitim Fakültesi Dergisi, 2016
The aim of this study was to investigate high school students' level of internet addiction and to determine internet addiction level according to various variables. The study was designed utilizing a survey model. The participants of the study were 501 high school students randomly selected from different socioeconomical districts, i.e., Selcuk district in Izmir and Central district in Edirne within the 2015-2016 academic year. Data were obtained through Internet Addiction Scale. Descriptive statistics utilizing Mann-Whitney and Kruskal-Wallis H tests were used for data analysis. The findings revealed low levels of Internet addiction for high school students along with the potential risk of Internet addiction. Furthermore, the differences between internet addiction level and grade level, mother's education level, smart phone ownership and mobile internet access were found to be statistically significant.
Dusunen Adam: The Journal of Psychiatry and Neurological Sciences, 2011
Evaluation of internet addiction in a group of high school students: a cross-sectional study Objective: In this study, we aimed to investigate internet addiction and the effects of some variables like age, gender, parental age and education, number of siblings, existence of internet connection at home, existence of computer in the adolescent's room, time spent on internet, adolescent's cigarette use, depression inventory score on internet addiction inventory scores in a group of high school students. Method: The study group consisted of students of a high school in Ankara city center who volenteered to participate in the study. Data was collected by a socio-demographic information form, Beck Depression Inventory (BDI) and Internet Addiction Inventory (IAI). A probability level of p<0.05 was used to indicate statistical significance. Results: The study group consisted of 211 students of whom 54% (n=114) were female. Time spent on internet and depression scores were positively correlated with IAI scores and IAI scores of males were significantly higher than IAI scores of females. No significant correlation was found between the IAI scores and other variables. The following items were found to be statistically significant in differentiating the 'addicted group' from the 'non-addicted group, respectively: to be male, a high depression score and long time spent on internet. Conclusion: According to our study results, among high school students, the likelihood of internet addiction is higher in males. Level of depression and the time spent on internet were found to be possible risk factors that effect internet addiction. The results of our study will be helpful for future protective studies about internet addiction.
International Online Journal of Educational Sciences, 2021
In this study, Internet addiction status of primary, secondary, and high school senior students studying in Yeşilyurt district of Malatya province were analyzed according to various variables. The population of the study consisted of 11,868 students from state schools in Yeşilyurt District of Malatya Province, and the study sample was composed of 2,611 students. The research has the relational screening model. In the study, "Internet Addiction Scale" developed by Günüç (2009) was used to determine the Internet addiction levels of students. This scale consists of the sub-dimensions of "deprivation", "control difficulty", "impairment in functionality" and "social isolation." In the analysis of the data obtained, t-test, k-means cluster analysis, one-way analysis of variance (One-Way ANOVA) test were used. "LSD", one of the "post-hoc" techniques, was applied to determine which group or groups the difference originated from in cases where there was significant differentiation as a result of the "ANOVA" test. In summary, the following findings were reached in the study: Of the 2,611 students, 397 (15.2%) were in the addicted group, 1,016 (38.9%) in the risk group, and 1,198 (45.9%) in the non-addicted group. When these results are taken into consideration, it is seen that most of the students that made up the sample were in the "non-addicted group" (45.9%). A significant difference was found in favor of male students between students' mean scores for Internet addiction according to their gender. A significant difference in favor of senior high school students was found between the levels of the schools where the students' studies and their Internet addiction mean scores. There was no significant difference between the mean Internet addiction scores of the students according to their mother's education level, father's education level, mother and father's profession, and the monthly income of the family.
World Journal on Educational Technology, 2016
The aim of the research is to examine the internet addiction of adolescents according to their genders, the type of their high-schools and class level, the time interval that they use internet most widely, their internet usage duration and usage purpose. For that, it is studied with 335 high-school students in Elazig city of Turkey in 2015. The internet addiction scale that Young (1998) developed was used to determine internet addiction of adolescents. In the analysis of data, t-test and unilateral variance analysis were used. At the result of analysis, the mean score of that adolescents got by internet addiction scale was determined as 69 , 2 = X. In analysis between variables it was seen that the internet addiction level of Science-High School students was lower compared to Anatolian and Vocational High-School students. It was observed that the more the usage duration increases the more the internet addiction increases. It was determined the students who use internet mostly for games or social media are more addicted. Besides; as statistical, a significant difference wasn't determined between genders, classes and the variables that internet is mostly used.
The Assessment of High Schoolers’ Internet Addiction
Procedia - Social and Behavioral Sciences, 2015
Today, the constant development of technology greatly increases the use of internet. With the devices that makes internet access possible getting smaller and integrated into lots of technological equipment, internet becomes accessible almost everywhere. On the other hand, this makes the internet a technology that is welcoming people of all ages rendering the space factor void. It is believed by many that the high schoolers tend to use the internet via mobile devices more compared to other groups of people the impact of which is seen obviously in their social lives, family relations and friendships. The negative and/or positive impacts that the internet has on students and their lives is an important research area. This study aims to determine whether the student group in question shows the symptoms of internet addiction. With this object in mind, the levels of internet addiction in high schoolers was researched and survey method was used to measure the levels of internet addiction in different schools. The high school students in Edirne Province, Kesan District participated in the survey which was conducted during 2013-2014 academic year.
Internet addiction in young people
Annals of the Academy of Medicine, Singapore, 2014
In our technology-savvy population, mental health professionals are seeing an increasing trend of excessive Internet use or Internet addiction. Researchers in China, Taiwan and Korea have done extensive research in the field of Internet addiction. Screening instruments are available to identify the presence of Internet addiction and its extent. Internet addiction is frequently associated with mental illnesses such as anxiety, depression, conduct disorder and attention deficit hyperactivity disorder (ADHD). Treatment modalities include individual and group therapies, cognitive behavioural therapy (CBT), family therapy and psychotropic medications. A significant proportion of Singapore adolescents engaging in excessive Internet use are also diagnosed to have concomitant Internet addiction. Despite the presence of a variety of treatment options, future research in this area is needed to address its growing trend and to minimise its negative psychological and social impact on the indivi...
Internet Addiction among Youths
Test Engineering & Management, 2020
These days internet and social media platforms become part and parcel of once life. A day without the smart phones or computer laptops is very hard to move and sometimes, they are treated as an extra hand of human beings. The need and use of internet are mostly depend upon the usage of the person who handle it. However, the necessity of internet had become the relaxation and habit. This study is a sample to exhibit that internet addiction is prevalent among youth who are considered as a back bone of the nation. This descriptive research design, purposive sampling method of study revealed that there is a significant relationship between the internet addiction and cost of their mobile phone they use and the availability internet connectivity.
Educational Research and Reviews, 2021
The aim of this study is to investigate the internet addiction levels of high school students using various variables. The research consists of a total of 962 students (452 girls and 410 boys) studying at different high schools in Giresun in the fall semester of the 2019 to 2020 academic year. The research data were obtained using the general survey model. The questionnaire consists of 6 items used to determine the introductory characteristics of university students; to obtain the data of the study, the "Internet Addiction Scale (IAS)" consisting of 20 items developed by Young and the "Academic Procrastination Scale" (AEÖ) consisting of 19 items developed by Çakıcı" were used. In analyzing the data, Kolmogorov-Smirnov (K-S), Arithmetic Mean, Standard Deviation, Independent groups t test, oneway ANOVA and Tukey analysis techniques were used. As a result of the research, it was determined that the mean scores of high school students regarding internet addiction levels differ significantly in terms of gender, class level, economic status, mother's education level and father's education level.