EXPLORATORY FACTOR ANALYSIS IN PERCEPTUAL UNDERSTANDING OF LIVESTOCK REARERS TOWARDS CLIMATE VARIABILITY IN KARNATAKA

J. PARAMESWARANAIK¹*, R. SENTHIL KUMAR², S.G. RANVIR³, R.S. BHAWAR⁴, DIKSHA PATEL⁵, N.P. DARSHAN^6
1Dairy Extension Division, ICAR- National Dairy Research Institute, Karnal-132001, India
²Scientist, Dairy Extension Division, ICAR- National Dairy Research Institute, Karnal, 132001, India
³Dairy Chemistry Division, ICAR- National Dairy Research Institute, Karnal, 132001, India
⁴Dairy Economics Statistics and management Division, ICAR- National Dairy Research Institute, Karnal, 132001, India
⁵Dairy Extension Division, ICAR- National Dairy Research Institute, Karnal, 132001, India
⁶Agricultural Extension Division, Prof. Jayashankar Telangana State Agricultural University, Hyderabad, Telangana, India
* Corresponding Author : parameshwar.jnaik@gmail.com

Received : 03-10-2015     Accepted : 06-12-2015     Published : 21-12-2015
Volume : 7     Issue : 14       Pages : 871 - 874
Int J Agr Sci 7.14 (2015):871-874

Keywords : Perception, Climate variability, Adaptation, Northern dry zone of Karnataka
Academic Editor : Dr Cargele Masso, Jorge Pinto, Dr C. Lakshminarasimhan, Bahni Dhar
Conflict of Interest : None declared
Acknowledgements/Funding : None declared
Author Contribution : None declared

Climate variability has been considered as one of the most serious long-term challenges faced by the dairy farmers this study examines how dairy farmers Karnataka state perceive climate variability. This was done with 120 samples which were purposively selected from the study area, for analysis, perception scale was used with modification, Reliability and validity was checked before conducting the study, finally the scale is of fourteen statements, (nine positive and five negative) and the response for each statements was rated over a five point continuum and weighted mean rank was assigned, among fourteen statements there are changes in environmental temperature ranks first with a weighted mean score 93.83; There is change in timing of precipitation (80.17) ranks second and as follows. Exploratory Factor Analysis (EFA) was employed to identify the latent constructs in the perception of farmers towards climate variability. After completing the exploratory factor analysis to estimate the factorial validity, the reliability was assessed through Cronbach alpha.