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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/46482
Title: | A Study on Academic Attainment of Agriculture Students and its Correlates: A Dummy Regression Approach |
Other Titles: | Not Available |
Authors: | Herojit Singh Abhijnan Das Soumik Dey Lakshmi Narsimhaiah Pramit Pandit Kanchan Sinha P. K. Sahu P. Mishra |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | Department of Agricultural Statistics, Bidhan Chandra KrishiViswavidyalaya, Mohanpur, Nadia, India College of Agriculture, JNKVV, Powarkheda, Madhya Pradesh, India ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2020-05-26 |
Project Code: | Not Available |
Keywords: | Accademic attainment Agricuture Correlates OGPA Student |
Publisher: | Springer |
Citation: | Herojit Singh, Abhijnan Das, Soumik Dey, Lakshmi Narsimhaiah, Pramit Pandit, Kanchan Sinha, P. K. Sahu and P. Mishra(2020). A Study on Academic Attainment of Agriculture Students and its Correlates: A Dummy Regression Approach, Annals of Data Science, https://doi.org/10.1007/s40745-020-00275-z |
Series/Report no.: | Not Available; |
Abstract/Description: | Education is a Nation’s strength. Association analysis of academic performance and its infuential 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 efcient 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 infuence the academic performance. Special emphasis has been given to visualize the performance in presence of the infuences 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. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Annals of Data Science |
Journal Type: | Academic journal focusing on Big Data analytics and applications. |
NAAS Rating: | 6.03 Not Available |
Impact Factor: | 0.03 |
Volume No.: | Not Available |
Page Number: | 1-24 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://doi.org/10.1007/s40745-020-00275-z |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/46482 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Annals of Data Science_Publication_Kanchan Sinha.pdf | 1.05 MB | Adobe PDF | View/Open |
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