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Development of a Test to Measure the Knowledge Level of Growers on Recommended Cultivation Practices of Major Vegetables
Author(s) -
Kangkana Borah,
Pabitra Kumar Das,
Indrajit Barman,
Suman Parasar,
Sobnam Sultana
Publication year - 2021
Publication title -
current journal of applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2457-1024
DOI - 10.9734/cjast/2021/v40i1831443
Subject(s) - test (biology) , measure (data warehouse) , index (typography) , selection (genetic algorithm) , statistics , operations management , mathematics , computer science , engineering , artificial intelligence , data mining , biology , paleontology , world wide web
The present study was conducted to construct and standardize a test to measure the knowledge level growers on recommended cultivation practices of major vegetable crops. The major steps followed for developing the test were construction of items, primary and final selection of items through difficulty index, discrimination index and biserial correlation. The final test comprised of 25 objective questions, referred to as items. The procedure adopted in the study can also be followed for developing knowledge test on any other aspect.

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