1Ph.D. Scholar, Department of Agricultural Extension Education, Agricultural College, Bapatla-522101, Andhra Pradesh
2Principal Scientist, Extension Systems Management, ICAR-NAARM, Rajendranagar, Hyderabad-500030, Telangana
3Associate Professor, Department of Agricultural Extension Education, Agricultural College, Bapatla-522101, Andhra Pradesh
4Professor, Department of Agricultural Extension Education, Agricultural College, Bapatla-522101, Andhra Pradesh
5Associate Dean, Professor & University Head., Department of Statistics and Computer Applications, Agricultural College, Bapatla-522101, Andhra Pradesh
6Associate Professor Department of Agricultural Economics, Agricultural College, Bapatla-522101, Andhra Pradesh
Understanding farmers' attitude is influential in initiating/formulating any strategy to promote the adoption of technology. A scale was developed to assess the attitude of farmers towards social networking. A comprehensive list of 70 statements encompassing both positive and negative statements were collated and refined considering the opinions of experts and Edward's 14-point framework and 37 statements were retained for administering to farmers from non-sampling area for further analysis. Finally, “t” value for each statement was analyzed and found that 14 statements were having “t” value greater than 1.75. Based on the “t” value, 14 statements comprising 9 positive statements and 5 negative statements were chosen to construct a scale that would measure the attitude of farmers towards social networking. The 14 statements were retained for the final scale and administered for testing the reliability and validity. Cronbach alpha coefficient of 0.76 confirmed the internal consistency of the developed scale. The content validity of the scale was ascertained based on the experts' judgment. The final developed scale can be used to assess the attitude of farmers on social networking in the present context and beyond the study area with modifications.
Attitude, Scale, Social networking, Likert's summated rating method, Item analysis, Reliability