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The present study examined the impact of structural holes and network closure on the academic performance of female students in an academic advice network. Data was collected from 182 female students of a public sector university in Baluchistan through the network (socio metric) questionnaire of name generators for egocentric network. Techniques of correlation and multiple linear regression analysis were employed to test the hypotheses. After controlling the effect of different variables (age, background education and parental education), the results revealed that network rich in structural holes was more productive then network closure in students’ academic advice network. These results have practical implications for students’ academic life enabling the students to reap the benefits of the diverse and non-redundant knowledge in their academic advice network structure by the virtue of spanning structural holes and consequently achieve better academic performance.

Asma Mushtaq, Kamal Badar. (2018) Impact of Student’s Social Advice Network on their Academic Performance, Journal of Behavioural Sciences, Volume 28, Issue 2.
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