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The results of the survey are pictured in Figure 1.
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Muenchen includes a survey conducted by Rexer Analytics, a data mining consulting firm, about the relative popularity of various data analysis software in 2010. One of these methods is to examine which software they currently use. However, he finds other ways to figure out the statistical software skills that employers seek.
In his article that measures the popularity of many data analysis software, Robert Muenchen notes that discovering the software skills that employers are seeking would “require a time consuming content analysis of job descriptions” ( Muenchen, 2014). Surprisingly, schools do not teach students the same software that businesses look for. As an important point taken in to consideration, we find especially significant that future investigation should be focused on the needs of the consumers and their real perception.All subjects Allied Health Cardiology & Cardiovascular Medicine Dentistry Emergency Medicine & Critical Care Endocrinology & Metabolism Environmental Science General Medicine Geriatrics Infectious Diseases Medico-legal Neurology Nursing Nutrition Obstetrics & Gynecology Oncology Orthopaedics & Sports Medicine Otolaryngology Palliative Medicine & Chronic Care Pediatrics Pharmacology & Toxicology Psychiatry & Psychology Public Health Pulmonary & Respiratory Medicine Radiology Research Methods & Evaluation Rheumatology Surgery Tropical Medicine Veterinary Medicine Cell Biology Clinical Biochemistry Environmental Science Life Sciences Neuroscience Pharmacology & Toxicology Biomedical Engineering Engineering & Computing Environmental Engineering Materials Science Anthropology & Archaeology Communication & Media Studies Criminology & Criminal Justice Cultural Studies Economics & Development Education Environmental Studies Ethnic Studies Family Studies Gender Studies Geography Gerontology & Aging Group Studies History Information Science Interpersonal Violence Language & Linguistics Law Management & Organization Studies Marketing & Hospitality Music Peace Studies & Conflict Resolution Philosophy Politics & International Relations Psychoanalysis Psychology & Counseling Public Administration Regional Studies Religion Research Methods & Evaluation Science & Society Studies Social Work & Social Policy Sociology Special Education Urban Studies & Planning BROWSE JOURNALS We may consider that the utilization of pesticides does not depend strictly on the use of GMO products. Many articles emphasize on environmental protection due to pesticide use and its consequences. Even so, an important observed impression was the considerable lack of knowledge of the people towards GMO food. Due to the variety of reactions, it was not feasible to define the most common responses among all.
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Some criteria were used for the selection of referential articles: full text articles dated between 19, articles focused only on the consumers’ perception (avoiding governmental, NGOs and Author’s opinion, among others) and content of particular keywords. The attention of this review is to focus on the publics’ general reactions and psychosocial perceptions of vegetables and its by-products containing GMO in diverse countries around the world. Several papers, articles, journals and newspapers have been published, many of them associated to the perception of consumers to products containing GMO and their different ways of response. Consumer willingness to buy GM foods is positively affected by perceived Benefits and risk associated with GM foods with Moral, ethical issues negatively affecting consumer willingness to buy GM foods. The majority of respondents (71.7%) favoured mandatory labelling with (43.8%) preferring labelling formats with Biotech Logo, and the statement 'contains ingredients derived using biotechnology.' Inserted in the ingredients section of the label. Our results show strong positive linear correlations between acceptance of GM foods and willingness to buy GM foods (Pearson's r = 0.52, p<0.001) and weak correlations between risk of GM foods and Morality (Pearson's r = 0.30, p<0.001) and Trust in Biotechnology institutions and willingness to buy (Pearson's r = 0.20, p<0.001). A cross-sectional study design employing simple random sampling was used to administer questionnaires, and the data analysed using IBM SPSS Statistics for Windows, version 22.0 and AMOS 18. This study further investigates GM food labelling policy preference and consumer trust in Biotechnology institutions in Ghana. The purpose of this study is to measure consumer knowledge, moral/ethical issues, the perception of risk and benefits of GM foods on health and the environment.
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