Perception of agricultural officers and selected progressive farmers on computer mediated communication: A socio-psychological analysis
Loading...
Files
Date
2008
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Agricultural Extension, College of Horticulture, Vellanikkara
Abstract
The study was undertaken with the objective of finding the attitude and
perception of Agricultural Officers towards computer mediated communication.
The study area was Malappuram and Trichur districts of Kerala. A sample of
ninety five Agricultural Officers formed the sample size of the study.
The independent variables of the study were age, educational status,
trainings undergone, knowledge about modem technologies, communication
ability, computer use efficiency, creativity, innovativeness, achievement
motivation and information source utilisation.
Almost three fourth of the respondents have favourable orientation
towards computer mediated communication and four fifth of the respondents have
favourable perception towards computer mediated communication. Age and
Education shows significant relationship with attitude towards computer
mediated communication.
Communication ability had positive and significant relationship with
perception towards computer mediated communication. There is no relationship
between perception with respect to the variables such as age, education, trainings
undergone, knowledge, creativity, innovativeness, achievement motivation and
information source utilisation.
There was significant difference between age, trainings undergone,
knowledge about computer mediated communication, innovativeness,
achievement motivation between respondents in Malappuram and Trichur
districts.
Factor analysis using principal axis method was used to extract the nine
factors for expressing the characteristics of computer mediated communication.
Factor analysis shows that the nine factors V1Z. credibility-accessibility
factor, presentation-treatment factor, experiential factor, animation factor,
intervention factor cataloguing factor, imaging factor, audio factor, geographic
specificity factor together explains 80.11 % of variation.
The first two factors Credibility-accessibility factor and Presentation-
Treatment factor explained more than 50% of the variation.
Description
PG
Keywords
null
Citation
172730