A path model of the effects of attitudes to the internet, depression, anxiety, stress, gender, and study time on internet addiction and academic performance of undergraduate students in Kachin Region of Myanmar
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2020
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Scholar: Human Sciences 12, 1 (January-June 2020), 69-92
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A path model of the effects of attitudes to the internet, depression, anxiety, stress, gender, and study time on internet addiction and academic performance of undergraduate students in Kachin Region of Myanmar
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Abstract
Internet addiction has become an increasing problem with young
people these days. The objectives of this study were to determine the
relationship between attitudes toward the internet, depression, anxiety, stress,
gender, and study time on internet addiction and academic performance in the
second year students of Institute of Education and Maija Yang College in
Maija Yang of Kachin Region in Myanmar. In August 2018 113 students
completed a self-report survey questionnaire which included the Internet
Addiction Test, DASS-21, and the Internet Attitude Scale. Multiple regression
analysis was used to predict internet addiction, study time, and academic
performance. Results showed that anxiety, gender, and internet attitude were
significant predictors of internet addiction. The research did not find any
significant predictors of study time. Gender (female) and study time were
significant positive predictors of academic performance, while internet
addiction was a negative predictor of academic performance (GPA). Although
females reported having higher levels of internet addiction, they also had
higher GPA. The findings, limitations, recommendations, and conclusion of
the study were discussed accordingly.
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