The aim of this survey is recognition of the consumerism female's students with media. Today Consumerism is an important topic of research in the sociology and cultural studies and evaluates it as a matter of growing importance in Iran. Using the theory and models of persuasive communication to study the role of communication channels and the characteristics of individual contacts in the message consumption is discussed. The method used to survey and collect information from questionnaires and the sample of 420 students of Payam Noor University of Arak With multistage cluster sampling was conducted. The results show the characteristics of the individual variables, see the ads, self-promotion, there was a significant relationship with the consumerism. Varying degrees of consumerism has also been proposed as one of the messages and values remain in the media are more willing to absorb them. The results showed no relation between sex and watching variables and hypotheses Considered advertising campaigns and confidence to be confirmed in this regard.
PURPOSE: The main purpose of this survey is to identify the factors affecting cyber security of students. In this paper, based on theoretical school of Copenhagen, theoretically Coleman, the study of social trust and felling of cyber security will be discussed. METHODS: This research was used survey in 2015 to assess the students' felling of cyber security PAYAME NOOR UNIVERSITY of Najaf Abad. The research instrument was the questionnaire. Students of PAYAME NOOR UNIVERSITY branch of Najaf Abad with a 7000 population were the statistical population of this study. Based on sample volume formula, the sample size of 300 students were selected from PAYAME NOOR UNIVERSITY center of Najaf Abad. Method of sampling is combination of cluster, simple and class random. RESULTS: the results of the study showed that there is a significant difference between men and women in cyber security felling. There was a significant difference between individual characteristics and cyber security. Feature of the individual, age, sex, marital individuals. CONCLUSIONS: Multiple regression analysis showed that among all the variables that were entered into the equation, variables of sex, residence, education, and social trust, in general, can explain about 27% of cyber security.
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