Expectation of participants in national dairy fair of India: A complete itemization by multivariate analysis

Abstract

For the sustainability and continuity of national level fair, expectation analysis is very much crucial and so at ICAR-NDRI, it was investigated in detail. Expectation analysis is widely analyzed in medical science sector but is usually ignored in agricultural research. Randomly selected farmers (60) out of participants (225) were taken for the present study. Participants responded in favour of the statements pertaining to infrastructural facilities, awards and recognition provided during the fair. Vast majority of the respondents (more than 9/10th) had medium to high expectation level from National Dairy Fair. Data on 12 variables were evaluated by using 2 multivariate statistical techniques, viz. principal component analysis (PCA) and standardized multivariate regression analysis (SMRA) method. Consequently, PCA yielded three components, which were named as, socio-economic motivational factor (PC 1), family-asset factor (PC 2), and educational factor (PC 3), and these factors explained 72.05% variance in the dataset. The findings of the (SMRA) method revealed that ‘awards and recognition received’, education, milk production, herd size, extension contact and ‘mass media exposure’ got the maximum weightage and had direct effect on expectation level of the respondents. The study implied that even the minutest expectation of the participants must be given utmost importance as participants act as ambassadors of national agricultural fairs, in their respective villages. Moreover, the present research will act as precedent for further research to measure expectation and study factors influencing it in the similar setup.