Developing an Intellectual Learning Scale to Test Knowledge Level of Kiwi Growers of Arunachal Pradesh on Package of Practices of Kiwi

Bai Koyu *

School of Social Sciences, College of Post Graduate, Studies in Agricultural Sciences, Central Agricultural University, Meghalaya, 793103, India.

Rajkumar Josmee Singh

School of Social Sciences, College of Post Graduate, Studies in Agricultural Sciences, Central Agricultural University, Meghalaya, 793103, India.

L. Devarani

School of Social Sciences, College of Post Graduate, Studies in Agricultural Sciences, Central Agricultural University, Meghalaya, 793103, India.

Ram Singh

School of Social Sciences, College of Post Graduate, Studies in Agricultural Sciences, Central Agricultural University, Meghalaya, 793103, India

L. Hemochandra

School of Social Sciences, College of Post Graduate, Studies in Agricultural Sciences, Central Agricultural University, Meghalaya, 793103, India.

*Author to whom correspondence should be addressed.


Abstract

The knowledge test was developed to measure the knowledge level of kiwi growers. In all 36 items were predominantly fabricated on the basis of indorsing rational rather than root memorization and to discriminate the sound knowledgeable kiwi growers from the ailing knowledgeable ones. The scores obtained from sample respondents were imperilled to item analysis, embracing of item difficulty index & item discrimination index. In the ultimate selection, the scale consisted of 15 items with difficulty index ranging from 30-80 and discrimination index ranging from 0.30 to 0.55. Split-Half method was employed to check the reliability of knowledge test being developed and it was found to be 0.711.

Keywords: Knowledge test, Kiwi growers, difficulty index, discrimination index, reliability.


How to Cite

Koyu, Bai, Rajkumar Josmee Singh, L. Devarani, Ram Singh, and L. Hemochandra. 2019. “Developing an Intellectual Learning Scale to Test Knowledge Level of Kiwi Growers of Arunachal Pradesh on Package of Practices of Kiwi”. Current Journal of Applied Science and Technology 32 (6):1-6. https://doi.org/10.9734/cjast/2019/v32i630039.

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