Major Factors of Female Dropouts at Different Educational Levels in Mardan

Uzma Gul and Sobia Gul ()

International Journal of Politics & Social Sciences Review (IJPSSR), 2023, vol. 2, issue 1, 1-12

Abstract: Education is the fundamental right of every human being. There is imposed no restriction on the basis of gender in any civilized society. Unfortunately, female gender is encountered with countless hurdles and shackles in making their ways to quality education. Female education is considered as a stigma in Asian societies. There are involved numberless factors which are blocking the ways to quality education of females. There has been reported immeasurable dropout of female in different stages of education. In this research study the centre of attention is the female gender and their dropout at different levels in Mardan. As there is a wide literature available with the concern of the student dropout, so by reviewing the literature the research has been done. While going forward in the research, after the literature review, the phenomenological research method, which is actually the one form of qualitative research was adopted in order to enrich the research and to make it more valid and reliable. The researcher has conducted interviews of different male and female educationalists available in Mardan. These interviews helped to get the information about both kinds of people of Mardan, i.e. the original habitants of Mardan and the immigrants who are living in city. The information has been collected on the bases of the experience of the educationalists and their wide observations. All the hypotheses have been tested and accepted. Moving forward the questionnaire has been designed from the qualitative data. With the help of that questionnaire the data have been collected from females of different regions in Mardan. This data has also again been collected from both original habitants of Mardan as well as the immigrants. By the help of collected data the quantitative research has been done. Frequency of every element has been detected separately by using descriptive analysis through SPSS. Finally, conclusions have been made on the basis of the data analysis, which are supporting the hypotheses made for the research study.

Date: 2023
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