其他摘要 | cyber life has been becomming an important part of youth living. The effect of Cyber life on human happiness and mental health is the focus of cyberpsychology. As an emerging area of ​​research, classification of cyber lifestyles is lack of theoretical basis, and measurement of cyber lifstyles is also relatively simple. Therefore, in this study, with stratified cluster sampling we used questionnaire investigation to verify the classification theory of cyber lifestyles, ane we developed the scales, reliability and validity of which had been analyzed, to measure cyber lifestyls. The results showed that: Fisrt, revised Basic Needs Satisfaction in General Scale(BNSG-S) and new Basic Needs Satisfaction in Networld Scale were developed on the basis of theoretical considerations and three samples consisted of 2,550 young people aged 14 -33 years old. The results demonstrated that both the scales had good theoretical construct validity, and internal consistency reliability were above 0.70. The two scales are applicable to the assessment of needs satisfaction of Chinese youth population. Second, through surveying 2,076 young people via questionaire, we used hierarchical linear regression and multivariate analysis of variance to verify the classification theory of cyber lifestyles. The results showed that basic needs satisfaction from the real world and the networld met on subjuctive well-being with the promotion of the role, but the role of network basic needs satisfaction was adjusted by reality basic needs satisfaction. On the basis of the reality and the network needs satisfaction status , we can divide cyber lifestlyes into actively promotion, excessive compensation, and general-use type. Third, with 2,550 young people’s data, we carried on exploratory and confirmatory factor analysis to prove that the Internet Activities Scale has good construct validity. Item analysis results showed good content validity of the scale, and internal consistency reliability were above 0.888, indicating that the scale were an effective tool to measure the network activities of youth population. Last, multivariate analysis of variance was used to explore characteristics of the cyber lifestyles with 2,076 young people’s data,. The results showed that the young mem, the ones with online time more than 4 hours per day , the ones who often stay up late to the Internet, and those who often accustomed to use in Internet cafes were more likely to develop a the overcompensation cyber lifestyle; 90 after yorouth and youth with diverse network activity were more likely to develop actively promotion cyber lifestyles. |
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