National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
The present study was carried out in the 4 villages of Patsoi sub division of Imphal West district of Manipur. The study was undertaken to ascertain the reasons influencing the television viewing behaviour and to determine the relationship between the personal, social and economic characteristics and television viewing behaviour of the youths. A total sample of 100 youths having attending the age of between 18 to 35 years including from schools, school dropout or both residing in the same villages was selected. An interview scheduled was developed and used to collect requisite information pertaining to the objectives of the study. The data were collected from the youths using face to face interview schedule. The pretesting of the interview schedule was done and necessary correction were made in the parameters i.e, age, education, family type, gender, occupation, parental background, marital status, participation in outdoor activities, channel preference, programme preference, time of watching, duration of watching and viewing habits. The result of the study revealed that of the eight independent variables, three variables that is education, family type and occupation were found to be positively significant, three variables marital status, gender and parental background were non-significant and age, participation in outdoor activities were found to be negatively significant. All the independent variables were taken for multiple regression analysis to estimate their predictive abilities. Out of the eight independent variables, age and education may be termed as a good predictor of the television viewing behaviour. Age category emerged as the most significant followed by education were also significant (b=369), (b=361) respectively. The R2 value being 0.692 shows that 69.2% of the data are found to be correct. The F value being 19.41 are also significant at 0.05 level of probability.
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