Variables predicting the role performance of field extension functionaries in animal husbandry sector of Karnataka: A multivariate approach

DIKSHA PATEL; M C A DEVI; S P LAL; A K SINGH; A P VERMA; S SMITHA

doi:10.56093/ijans.v87i4.69615

Authors

DIKSHA PATEL ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
M C A DEVI ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
S P LAL ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
A K SINGH ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
A P VERMA ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
S SMITHA ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India

https://doi.org/10.56093/ijans.v87i4.69615

Keywords:

Exploratory factor analysis, Field extension functionaries, Multiple regression analysis, Role performance

Abstract

A research work was conducted to study the role performance of Field Extension Functionaries (FEFs) from Department of Animal Husbandry and Veterinary Services (DAH&VS) and Karnataka Milk Federation (KMF), and variables influencing the role performance of FEFs. Ex-post facto research design was employed for the study. The study was restricted to 120 FEFs of DAH&VS and KMF from 2 districts i.e. Bengaluru Rural and Bengaluru Urban districts of Karnataka state. Study indicated that majority (62.50%) of the FEFs were grouped under medium level of role performance category. Exploratory factor analysis (EFA) was used to select the variables suitable for regression model. Extraction method used for EFA was principal axis factoring and finally only 12 variables were picked whose extracted communalities value was >0.40. Testing of regression coefficient revealed that, only six variables viz. job satisfaction marital status, job involvement and information seeking behaviour family occupation and attitude towards work were found to be significant at 1%, 5% and 10% level of significance, respectively. The coefficient of determination value with twelve independent variables indicated that 53.44% of significant variation in the role performance was explained by the independent variables covered under the study which was found to be significant.

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