Enhancing Quality in Higher Education: Women`s Workforce Participation and Sex Ratio in West Bengal amid 1971-2011
Bapi Mandal
, Dr. Partha Sarathi De
Quality enhancement in higher education, female workforce participation rate, sex ratio, Pearson Co-relation coefficient test.
To promote higher standard in education, there must be equal participation of men and women in higher education. Since female participation in workforce is very low both at national and state level in comparison to male, it requires appropriate measures. In this paper, we attempt to investigate the nature of trends in the female workforce participation rate and the sex ratio to comprehend quality enhancement in Higher Education system. Moreover, we hypothesize that there is a significant relationship between female workforce participation rate and the sex ratio. We study the Indian scenario of the aforementioned trends during 1971-2011, with special reference to West Bengal. Furthermore, by identifying the dependent variable (Female Workforce Participation Rate) and independent variable (Sex Ratio), Pearson Co-relation coefficient is applied to test the statistical significance. The test result shows slight positive significant association (r=0.46671 and p= 0.42810 >0.05) in case for India but a very strong and positive significant association (r=0.91868 and p= 0.02749 <0.05) found for West Bengal.
"Enhancing Quality in Higher Education: Women`s Workforce Participation and Sex Ratio in West Bengal amid 1971-2011", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 1, page no.296 - 304, January-2023, Available :https://ijsdr.org/papers/IJSDR2301048.pdf
Volume 8
Issue 1,
January-2023
Pages : 296 - 304
Paper Reg. ID: IJSDR_203392
Published Paper Id: IJSDR2301048
Downloads: 000347355
Research Area: Social Science and Humanities
Country: Kalyani, West Bengal, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
