Path analysis of relationship between personality traits and internet addiction with quality of life of internet users in Isfahan city

Aim and The topic of Internet Addiction has continued to be hotly debated in the research discussion list. This study aimed to explore the path analysis of relationship between personality traits and internet addiction with quality of life and with internet addiction of users in reliable Coffee-nets in Isfahan city.Method and Materials: In this correlation research, the target population included all of users in Coffee-nets of Isfahan. With the use of multistage cluster sampling, 300 Coffee-net users were selected. Instruments used in this research were: Yang addiction of internet (1999) and WHOQOL-BREF (2005) and short version of personality traits (NEO-PI) (2005). Data were analyzed using Pearson correlation coefficient and path analysis by LISREL8.5. Total internet addiction was negatively related to three of the Big Four traits; extroversion, conscientiousness, and agreeableness (P < 0.01). Finally conceptual framework was drawn by LISERE8.5. GFI test confirmed the conceptual framework factors and their interaction and correlation by calculating GFI (GFI = 0.91). The results indicated that conceptual framework was confirmed. It was found that personality traits significantly influence users’ internet addictions and quality of life; and internet addiction significantly impacts users’ quality of life.