| Journal: | Acta scientiarum. Agronomy |
| Database: | PERIÓDICA |
| System number: | 000460084 |
| ISSN: | 1679-9275 |
| Authors: | Possatto Junior, Omar1 Bertagna, Filipe Augusto Bengosi1 Peterlini, Edicarlos1 Baleroni, Alessandra Guedes1 Rossi, Robson Marcelo2 Zeni-Neto, Hugo3 |
| Institutions: | 1Universidade Estadual de Maringa, Maringa, Parana. Brasil 2Universidade Estadual de Maringa, Departamento de Estatistica, Maringa, Parana. Brasil 3Universidade Estadual de Maringa, Departamento de Agronomia, Maringa, Parana. Brasil |
| Year: | 2019 |
| Volumen: | 41 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico, descriptivo |
| English abstract | Statistics is the main science by which researchers validate the results of scientific work, and the choice of an inadequate statistical method may lead to conclusions that are considered questionable by reviewers. This study had the objective of describing the characteristics of the statistical methods used in the papers published in Acta Scientiarum. Agronomy from 1998 to 2016 as part of a a critical analysis of the journal to pinpoint possible failures in the application of these methods. All scientific articles (n = 1,237) published in the journal were surveyed, of which 54.1% addressed areas of crop production. The mean comparison methods were the most commonly used (75.5%) and, consequently, they represented the highest proportion of errors (60.8%) of the authors in the journal |
| Disciplines: | Bibliotecología y ciencia de la información |
| Keyword: | Análisis y sistematización de la información, Publicaciones científicas, Análisis estadístico, Media, Métodos paramétricos |
| Keyword: | Information analysis, Scientific papers, Statistical analysis, Mean, Parametric methods |
| Full text: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
