Using Analysis Regression Models to Identify the Failure Factors of Primary Education
DOI:
https://doi.org/10.51872/prjah.vol7.Iss2.464Keywords:
Primary Education, Basic Education, Analysis of Factors, Logistic Regression, Probit Regression, PakistanAbstract
This study is to identify the failure factors of basic education in rural areas of Sindh, Pakistan. According to the article 25-A of the constitution of Pakistan, it is a primary duty of the state that the educational services must be easily accessible to all children from 5 to 10 years old. The focus on expanding the quality of primary education in Pakistan still remains to further improve. However, the Government of Pakistan claims that the situation of education in the state is improving, but in fact the basic education especially for children in rural areas of Pakistan is still alarming. So therefore, this study interests in that to identify: what are the causes behind the situation of education of Pakistan being failure. For comparative analysis, we collected a primary data from rural areas of Sindh province. We used major statistical methods including logistic and probit regression model. In the findings, we found the hug flaws, mismanagement, and lack of availability and accessibility in the education department of government of Sindh. Specifically, we identified that (a) a large portion of school-going age children is out of school, (b) gender disparity, and (c) lack of availabilities and accessibilities from the Government. To analyze the factors from the above aspects helps to improve the quality of education, accessibility, and availability in the rural areas of Sindh, Pakistan.
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