International Journal of Electrical Engineering and Computer Science
E-ISSN: 2769-2507
Volume 2, 2020
Use of Statistical Mix to Understand Statistical Competency of Agricultural Education Students
Authors: ,
Abstract: Investment in research is indeed a "rational" investment. Thesis issues and projects in higher education are the sources of research at educational institutions and have an evident role in helping professionals and researchers. However, lack of fit scientific methods along with the ignorance of the proper processes of science has somewhat diminished the importance of research. This study points out the dire need to examine "standards" which are based on the statistical competency in graduates. Preliminary survey investigations and content analysis of PhD dissertations ($$N_{1}= 69$$) and M.Sc. thesis (n=246 out of $$N_{2}=648$$) in agricultural extension, education and development in Iran showed that the applied statistical procedures were rarely eligible and appropriate. For this study were used combines quantitative methods (survey) and qualitative (content analysis). In the end, student could improve knowledge content about statistic when consideration and using from sequential statistics by agricultural extension and education students, can give them holistic view from using statistical test to exploit of mix and together statistical test.
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Keywords: Statistical Mix, sequential statistical road map, statistical procedure, behavioral research, statistical competency, graduate and post graduate research.
Pages: 26-32
International Journal of Electrical Engineering and Computer Science, E-ISSN: 2769-2507, Volume 2, 2020, Art. #5