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RAFEE, H., EL FESHAWY, T., OMAR, F. (2012). MASS MEDIA DEBATE OF SOME AGRICULTURAL CRISES IN EGYPT. Egyptian Journal of Agricultural Research, 90(1), 441-464. doi: 10.21608/ejar.2012.159792
HAMDY E. RAFEE; TAHA M. EL FESHAWY; FATMA A. OMAR. "MASS MEDIA DEBATE OF SOME AGRICULTURAL CRISES IN EGYPT". Egyptian Journal of Agricultural Research, 90, 1, 2012, 441-464. doi: 10.21608/ejar.2012.159792
RAFEE, H., EL FESHAWY, T., OMAR, F. (2012). 'MASS MEDIA DEBATE OF SOME AGRICULTURAL CRISES IN EGYPT', Egyptian Journal of Agricultural Research, 90(1), pp. 441-464. doi: 10.21608/ejar.2012.159792
RAFEE, H., EL FESHAWY, T., OMAR, F. MASS MEDIA DEBATE OF SOME AGRICULTURAL CRISES IN EGYPT. Egyptian Journal of Agricultural Research, 2012; 90(1): 441-464. doi: 10.21608/ejar.2012.159792

MASS MEDIA DEBATE OF SOME AGRICULTURAL CRISES IN EGYPT

Article 29, Volume 90, Issue 1, March 2012, Page 441-464  XML PDF (393.18 K)
Document Type: Original Article
DOI: 10.21608/ejar.2012.159792
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Authors
HAMDY E. RAFEE; TAHA M. EL FESHAWY; FATMA A. OMAR
Agricultural Extension and Rural Development Research Institute, Agricultural Research Center, Dokki, Giza, Egypt.
Abstract
The research aims at Determining knowledge degree of mass media agricultural agents (MMAA) related to some agricultural crises that face Egyptian agric. Sector; to determine also agricultural information sources that provide those agents by media material about some crises; to define debate degrees of agric. mass media of some agricultural crises by Mass Media Agents ;To identifying the relationship between mass media debate degrees of some agricultural crises and the knowledge degrees of mass media agents related to it. Data were collected by using questionnaire through personal interview from agricultural mass media agents who are working in editing, publication, and broadcasting written, visual and audible media materials related to agricultural sector. The sample of study was 110 agricultural mass media agents they represent 44% of the population. Frequency tables, percentage, standard deviation arithmetic mean, weighted mean simple correlation coefficient (pearson) and step-wise multiple correlation and regression analysis were used to analyze data.
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