نشریه علوم اجتماعی
سال نهم شماره 1 (پیاپی 19، بهار و تابستان 1391)

This study aimed to study the risky behavior and its relationship with social capital amongst the high school students of Kerman city. Social capital theories of Colman and Putnam were selected as the theoretical framework. The abstracted variables of research model are social capital (network ties of respondent with teachers, family and friends. network ties of respondents’ family with school), economic capital (family income) and human capital (parents’ education). Dependent variables were six risky behaviors, which are violence, suicide and thinking to it, smoking, drinking, sexual relationship and opium use. Finding based on a sample of 565 cases, affirmed the theoretical framework meanwhile discovering the critical role of social capital indicators in risky behavior reduction. While the role of human and economic capital in risky behavior was fragile, social capital indicators had more powerful effect and played a deterrent role.

This article aims to analyze the importance of labeling, structural, rational choice and control theories to predict part and partially the re-prison rate. The method is survey and respondents involved the prisoners of at least two record of accusation. Sample size amounts 340 prisoners including 98 female and 242 male who were selected by using stratified, systematic and random strategies from the list. Data was gathered by researcher made and administered questionnaire. Results indicated that the most important factors in predicting re-prison rate related to the following theories respectively: labeling, rational choice, structural (objective dimension, i.e. social status, kind of crime), structural (subjective dimension, i.e. social and economic satisfaction and sense of discrimination) and control theories. Also, results showed that above theories altogether improved the prediction coefficient. The results are analyzed sociologically. It was concluded that less importance of structural (subjective dimension) and control theories may be related to the similar situations of prisoners in these respects, since the sample included all recorded prisoners. Also, it was concluded that society is responsible for prison re-entry in social structure as well as social interaction with released prisoners to be reconsidered.

Today, the work-family conflict is a challenge to nurses and nursing. In this regard, the Ghaem hospital's 448 nurses making random sample of 100 individuals were studied. To analysis collected data, partial least squares (PLS) and Haland procedures were employed.The results were significant and positive relationship between the variables of a conflict between people intention to leave, and work - family conflicts shows. Also, results showed that organizational support, conflict mitigation and nurses to staff turnover will reduce work-family conflict and intention to leave positively affect the nursing intention to leave. On the other hand, a significant relationship between work-family conflict and Job Workload, which increases the staff intention to leave. Thus, given the increasing incidence of labor work-family conflict among employees, understanding the factors that effect on employees intention to leave, can help organizations human resources department in order to maintain good employees.

As a social and cultural behavior,the relationship between boy and girl is almost a new phenomena in our society.It seems to cause many worries at the various social level by reason of creating some of issues and problems.This research focuses on two main firstly,To examine girls’ attitude toward relationship with opposite sex and to explore effective elements upon the girl’s attitude toward the relationship with opposite sex.Using the survey method,a sample of 381girls from students with a mean age of 16/94 was selected.They have been choosen by the Quota sampling.The descriptive findings showed that 45/7 percent had positive attitude toward this kind of relationship,32/3 percent had a moderate attitude and the girls with negative attitude were 22 percent.The findings showed that there was significant relationship between familys’ attitude,friends’ attitude,life style, religious values and dependent variables.Using a multi-variable regression analysis with the aim of determining the models’soundness was indicative of three variables:persistence on religious values,friends’ attitude,and familys’ attitude explained 45 percent of dependent variable’s variance.Although in the area of the opposite sex interpersonal relationship,the trend changes is moving toward positive attitude and modern values.

Cultural integration and social admission among ethnicities is one of the most trusted ways to reach social integration in multiethnic society of Iran. Using a sociological approach, this thesis assesses the extent of intercultural sensitivity and its associated factors among Kurds and Turks of the city of Qurve. According to the theoretical sextuplet model of intercultural sensitivities of Milton Bennett, in the theoretical framework, a conceptual framework has been designed and main hypothesizes have been designed according to it. Using survey and questionnaire, the thesis has been done on 400 subjects of Kurds and Turks in the city of Qurve. The results of the research signify intercultural sensitivities among Kurds and Turks of Qurve, though; intercultural sensitivities have been more among Kurds than Turks of Qurve. The results of the research also show that increasing amount of relations as well increasing extent of knowledge and familiarity among ethnicities reduce intercultural sensitivities. In sum, the mentioned elements and the elements of income and religion explain 48 percent of changes of intercultural sensitivities among studied groups.

This article of focused on data mining, which is very complex to recognize the correct, new models which are potentially useful in data, hence they will be useful, and acceptable for all humans. Data mining is also called the exploration of knowledge, is the process of data analysis in the different aspect to summarize them into the suitable information, which is able to increase profits and to decrease the expenses. This article is based on documents (library method) and information. It is necessary to say that the present data is also used to develop the information, but, as whole, the dominant methodology is descriptive librarian. In the present article, there is a abstract of the statistical methods and data mining which are limited to users, the process of data mining and other limitations.

Population in all countries plays a fundamental role in economic growth and economic development. But besides absolute size and growth rate of population, the more important factor will be “age structure” or “age distribution” of population, because it can be as source of many economical, social, and political challenges. In this research, we investigate effect of changes in population shares in three age groups (under 15, 15-64, and above 65) and also young and old dependency ratio on iran’s per capita income by Considering Effect Channels. In this research, we use toda-yamamoto causality approach for test causality relationship between demographic variables and economic variables and also causality relationship between economic variables and per capita income. On the other hand, we apply Auto Regressive Distributed Lag (ARDL) approach for identify effect of changes in population shares in three age groups and also young and old dependency ratio on level and growth rate of per capita income.