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A Study on Academic Attainment of Agriculture Students and its Correlates: A Dummy Regression Approach

Author

Listed:
  • Herojit Singh

    (Bidhan Chandra KrishiViswavidyalaya)

  • Abhijnan Das

    (Bidhan Chandra KrishiViswavidyalaya)

  • Soumik Dey

    (Bidhan Chandra KrishiViswavidyalaya)

  • Lakshmi Narsimhaiah

    (Bidhan Chandra KrishiViswavidyalaya)

  • Pramit Pandit

    (Bidhan Chandra KrishiViswavidyalaya)

  • Kanchan Sinha

    (ICAR- Indian Agricultural Statistics Research Institute (IASRI))

  • P. K. Sahu

    (Bidhan Chandra KrishiViswavidyalaya)

  • P. Mishra

    (JNKVV)

Abstract

Education is a Nation’s strength. Association analysis of academic performance and its influential factors has remained research interest for all education researchers all over the world. India being an agriculture dominated country, for its development in agricultural front it requires ahuge numberof efficient technocrats having strong academic background. In this study an attempt has been made to examine the associationship of academic performance of the agriculture graduates, as measured through overall grade point average (OGPA) with the factors supposed to influence the academic performance. Special emphasis has been given to visualize the performance in presence of the influences of nominal factors. Students at masters level were surveyed for their social, economic, demographic and family and educational background through a designed questionnaire and tested accordingly. Statistical tools, starting from frequency, percentage, Chi-square test, test for normality, Cramer’s V test, multiple regression analysis with the inclusion of dummy variables were employed. Dependency of OGPA with gender, caste and expenditure on education is recorded. The dependency of educational expenditure on OGPA is quite obvious. But the dependency of OGPA with those of gender and caste is most probably not a good sign for a healthy higher education system. This study will help the education planners to take group oriented action plan for improving the education standard in higher education institutions.

Suggested Citation

  • Herojit Singh & Abhijnan Das & Soumik Dey & Lakshmi Narsimhaiah & Pramit Pandit & Kanchan Sinha & P. K. Sahu & P. Mishra, 2023. "A Study on Academic Attainment of Agriculture Students and its Correlates: A Dummy Regression Approach," Annals of Data Science, Springer, vol. 10(1), pages 129-152, February.
    • Handle: RePEc:spr:aodasc:v:10:y:2023:i:1:d:10.1007_s40745-020-00275-z
    DOI: 10.1007/s40745-020-00275-z
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    Cited by:

    1. Shayan Frouzanfar & Maryam Omidi Najafabadi & Seyed Mehdi Mirdamadi, 2024. "Statistical Modelling for Pandemic Crisis Management in Universities," Annals of Data Science, Springer, vol. 11(4), pages 1459-1481, August.

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