Abstract

In this survey, in order to find the effective factors upon the age at first marriage as to women aged 15-49 from the villages of Zabol, data have been gathered through questionnaires, and the following variables have been considered: age at first marriage as dependent variable, and income of women’s fathers, education of women’s fathers, occupation of women’s fathers, income of women’s husbands, education of women’s husbands, occupation of women’s husbands, education of women, employment status of women, household size, ethnicity of women, religion of women, the women’s attitude toward ideal marriage age for girls, the women’s attitude toward ideal marriage age for boys, the birth order in family, women's number of sisters, women's number of brothers, the type of family, and the source of decisionmaking about marriage as independent variables. Theories such as Exchange Theory, Rational Choice Theory, Wealth Flow Theory, Game Theory, Theory of Demographic Change and Response and Search Theory, a model has been chosen based on people’s preference for achieving educational positions, better occupations, and more facilities that contribute to the increase of the marriage age. The gathered data have been analyzed through SPSS package, and statistical methods such as T-test, ANOVA, and Multiple Regression have been used for analysis. From among 18 independent variables in this research, 16 have been accepted and approved but the occupation of women’s fathers and income of women’s fathers have been rejected. Eventually, determination of the main variables of this survey through Multiple Regression leads to R2=0.75; it means these variables can predict the dependent variable for 75 percent. Consequently, the proposed model is relatively a proper one. Based on the results, the research model was approved. The research model was planned according to communities, which have experienced Modernization; therefore, it was not expected that this model would respond in the remote villages of Zabol. However, the obtained results proved that despite the exposure of this community to factors such as ethnicity and religion, Modernization has also left its influence upon this area, and we can consider the same model by adding or reducing two or three variables in such a community.

Authors and Affiliations

Batool Seifoori| Department of social sciences, Payame Noor University, p.o.Box 19395-3697, Tehran, Iran. Email:batool.seifoori@gmail.com

Keywords

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  • EP ID EP17608
  • DOI -
  • Views 150
  • Downloads 2

How To Cite

Batool Seifoori (2016). . International Journal of Humanities and Cultural Studies (IJHCS), 2(4), 2136-2145. https://europub.co.uk/articles/-A-17608