Características experimentais das publicações da Ciência Rural de 1971 a 2000

Lúcio, Alessandro Dal’Col; Lopes, Sidinei José; Storck, Lindolfo; Carpes, Ricardo Howes; Lieberknecht, Daniel; Nicola, Márcia Cristina

doi:10.1590/s0103-84782003000100026

Cited by 8 publications

(12 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The extensive use of the Tukey test confirms the results presented by Santos et al (1998), Bezerra Neto et al (2002) and Lúcio et al (2003). This is a rigorous test, but with less power (sensitivity) than the other MCT (Vieira, 2006).…”

Section: Statistical Procedures Used and The Quality Of Selection Andsupporting

confidence: 77%

“…This situation was also reported by Lúcio et al (2003) in their assessment of the studies in crop science in the Ciência Rural journal. Researchers, however, need to know the direction of one or more sources of variation in the experimental environment to ensure that the local control principle is adopted correctly (variability from the moisture gradients, fertility, mineral composition, and historical uses).…”

Section: Characteristics Of the Experimentssupporting

confidence: 69%

“…As the articles were chosen at random from each journal, the years of publication were not equally represented. The method followed in the evaluation was similar to that used by Lúcio et al (2003), Bertoldo et al (2008a), and Lucena et al (2013) using a questionnaire. A questionnaire was prepared containing 28 questions, divided into queries related to the characteristics of the experiments, the statistical procedures used, and the quality of selection and use of these procedures.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

An Evaluation of the Use of Statistical Procedures in Soil Science

Tavares

Carvalho

Machado

2016

Rev. Bras. Ciênc. Solo

View full text Add to dashboard Cite

Experimental statistical procedures used in almost all scientific papers are fundamental for clearer interpretation of the results of experiments conducted in agrarian sciences. However, incorrect use of these procedures can lead the researcher to incorrect or incomplete conclusions. Therefore, the aim of this study was to evaluate the characteristics of the experiments and quality of the use of statistical procedures in soil science in order to promote better use of statistical procedures. For that purpose, 200 articles, published between 2010 and 2014, involving only experimentation and studies by sampling in the soil areas of fertility, chemistry, physics, biology, use and management were randomly selected. A questionnaire containing 28 questions was used to assess the characteristics of the experiments, the statistical procedures used, and the quality of selection and use of these procedures. Most of the articles evaluated presented data from studies conducted under field conditions and 27 % of all papers involved studies by sampling. Most studies did not mention testing to verify normality and homoscedasticity, and most used the Tukey test for mean comparisons. Among studies with a factorial structure of the treatments, many had ignored this structure, and data were compared assuming the absence of factorial structure, or the decomposition of interaction was performed without showing or mentioning the significance of the interaction. Almost none of the papers that had split-block factorial designs considered the factorial structure, or they considered it as a split-plot design. Among the articles that performed regression analysis, only a few of them tested non-polynomial fit models, and none reported verification of the lack of fit in the regressions. The articles evaluated thus reflected poor generalization and, in some cases, wrong generalization in experimental design and selection of procedures for statistical analysis.

show abstract

Section: Statistical Procedures Used and The Quality Of Selection Andsupporting

confidence: 77%

Section: Characteristics Of the Experimentssupporting

confidence: 69%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

An Evaluation of the Use of Statistical Procedures in Soil Science

Tavares

Carvalho

Machado

2016

Rev. Bras. Ciênc. Solo

View full text Add to dashboard Cite

show abstract

“…The non-indication of the applied test can be a sign of poor analyses, neglect or ignorance of experimentation by the researcher, considering that the diffusion of experimental techniques implies that at least the author is able to describe what had been accomplished (LÚCIO et al, 2003).…”

Section: Resultsmentioning

confidence: 99%

“…Since the late 70's, several authors have been calling attention to the misuse of statistical methods, and incorrect analyses of data in different areas of science (ALBUQUERQUE, 2009;BERTOLDO et al, 2008;BEZERRA NETO et al, 2002 CARDELLINO; SIEWERDT, 1992;CONCEIÇÃO, 2008;GLANTZ, 1980;HOKANSON, 1987;STORCK, 1995;LÚCIO et al, 2003;McCLATCHEY, 2006;MOSES;LOUIS, 1984;PERTERSEN, 1977;SANTOS et al, 1998;SCHWARTZ, 1997;SZKLO, 2006;WANG;ZHANG, 1998;WHITE, 1979). Among the main errors identified, stand out the incorrect use of analysis of variance and the means comparison tests, since they are the most used statistical tests (KUSUOKA; HOFFMAN, 2002).…”

Section: Introductionmentioning

confidence: 99%

Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010

Neto

Ostrensky

2013

Acta Sci. Technol.

View full text Add to dashboard Cite

ABSTRACT. Statistics is a key tool to validate the conclusions of scientific papers. However, errors in using this method, including the use of low power tests and inadequate analysis of the studies are still frequent. This research identified, through a census of 307 articles published between 2000 and 2010 in the Journal Archives of Veterinary Science, that 34% of the papers had made conclusions without statistical support, 34% were supported by statistical methods inadequate to the evaluated database, whereas only 32% have presented conclusions based on statistical methods consistent with the structure of the analyzed data. Furthermore, the percentage of inadequate conclusions may be even higher, of up to 47%, since some of the articles that had not used statistical analysis should have applied some method for the validation of their conclusions. The results presented herein warn against the misuse of statistical methods that compromise the quality and reliability of the conclusions presented in most papers.Keywords: assumptions, experimental design, statistical analysis.Avaliação do uso de métodos estatísticos em artigos publicados em revista de ciências veterinárias de 2000 a 2010 RESUMO. A estatística é uma ferramenta fundamental de validação das conclusões de trabalhos científicos. Entretanto, erros no uso dessa ferramenta, incluindo a utilização de testes estatísticos pouco robustos e análise inadequada de dados provenientes de experimentos, ainda são frequentes. A presente pesquisa identificou, por meio de censo realizado em 307 artigos publicados entre 2000 e 2010 na Revista Archives of Veterinary Science, que 34% dos artigos apresentavam conclusões sem nenhum apoio estatístico; 34% estavam embasados em métodos estatísticos inadequados à base de dados gerados; e apenas 32% deles apresentavam conclusões fundamentadas em métodos estatísticos condizentes com a estrutura dos dados analisados. Além disso, a percentagem de conclusões imprecisas pode ser ainda maior, chegando a 47%, considerando que parte dos artigos que não fizeram análises estatísticas deveria ter aplicado algum método para a validação das pressuposições concluídas. Os números aqui levantados alertam sobre o uso inadequado de métodos estatísticos e sobre o comprometimento da qualidade e da confiabilidade das conclusões apresentadas em grande parte dos artigos.Palavras-chave: análises estatísticas, planejamento experimental, pressuposições.

show abstract

[No Title Available]

Carvalho

Mendes

et al. 2020

Crop Breed. Appl. Biotechnol.

View full text Add to dashboard Cite

is a new spreadsheet program for univariate statistical analyses, focused on the dominant profile of agricultural experimentation. The program can perform analysis of variance; tests for normality, homoscedasticity, additivity, outliers; complex contrasts; multiple comparison tests; Scott-Knott's grouping analysis; regression analysis; and others. It has available at speedstatsoftware.wordpress.com.

show abstract

Características experimentais das publicações da Ciência Rural de 1971 a 2000

Cited by 8 publications

References 1 publication

An Evaluation of the Use of Statistical Procedures in Soil Science

An Evaluation of the Use of Statistical Procedures in Soil Science

Assessment of the use of statistical methods in articles published in a journal of veterinary science from 2000 to 2010

[No Title Available]

Contact Info

Product

Resources

About