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Development of a Test for Measuring the Knowledge Level of Women Farmers in Vegetable Cultivation

Bibliographic Data

ID5218201
AuthorsD S Yadav (0000-0003-3721-1576, Krishi Vigyan Kendra, Sundernagar District Mandi175 019, Himachal Pradesh, India), Dipa Yadav (0009-0006-2416-6138), Ummed Singh (0000-0002-9526-8821, Department of Agricultural Extension, Janta Vedic Post Graduate College, Baraut District Baghpat, Uttar Pradesh, India), Arvind Kumar (0009-0009-1715-5686, Krishi Vigyan Kendra, Una, Himachal Pradesh, India), Anup Katoch (Department of Agril Econ, Ext Edu & Rural Soc, College of Agriculture, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur, Himachal Pradesh, India)
Year2013
Volume41
Issue2
Pages113-117
Publication date2013-02-01
Open AccessYes
TypeARTICLE
VenueJournal of Human Ecology (JOURNAL)
Journal identifiersISSN: 0970-9274 • E-ISSN: 2456-6608
PublisherKamla Raj Enterprises (PUBLISHER)
DOI10.1080/09709274.2013.11906558
OpenAlexW2185636914
LanguageEN
References cited1

In the present study, a test was developed to measure the knowledge level of women farmers of Himachal Pradesh in vegetable cultivation practices. A preliminary test of twenty-eight knowledge items was initially administered to 42 women farmers who were involved in vegetable farming for item analysis. Finally, fourteen knowledge items were included in the final format of the knowledge test based on the difficulty index (30 to 80), discrimination index (< 0.20) and point-biserial correlation coefficient (≥ 0.236). The reliability of the knowledge test was measured with the help of split-half method and Kuder-Richardson Formula 20 and reliability coefficients were found to be 0.82 and 0.81, respectively, which indicates that this knowledge test is quite reliable. The test was further administered to 100 respondents and it was found that majority of the respondents (66.00 %) had moderate level of knowledge about vegetable farming

Agricultural science · Agriculture · Geography · Knowledge level · Mathematics education · Statistics · Agricultural Economics and Practices · Computer Science · Livestock Management and Performance Improvement · Mathematics · Psychology

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