期刊论文详细信息
Scientia Agricola
Analyzing one-way experiments: a piece of cake of a pain in the neck?
Marcin Kozak1 
关键词: analysis of variance;    assumptions;    graphical statistics;    multiple comparisons;    normal distribution;    non-parametric statistics;    one-way designs;    statistical analysis;    análise de variância;    pressuposições;    análises gráficas;    comparações múltiplas;    distribuição normal;    estatística não paramétrica;    experimentos de classificação simples;    análise estatística;   
DOI  :  10.1590/S0103-90162009000400020
来源: SciELO
PDF
【 摘 要 】

Statistics may be intricate. In practical data analysis many researchers stick to the most common methods, not even trying to find out whether these methods are appropriate for their data and whether other methods might be more useful. In this paper I attempt to show that when analyzing even simple one-way factorial experiments, a lot of issues need to be considered. A classical method to analyze such data is the analysis of variance, quite likely the most often used statistical method in agricultural, biological, ecological and environmental studies. I suspect this is why this method is quite often applied inappropriately: since the method is that common, it does not require too much consideration-this is how some may think. An incorrect analysis may provide false interpretation and conclusions, so one should pay careful attention to which approach to use in the analysis. I do not mean that one should apply difficult or complex statistics; I rather mean that one should apply a correct method that offers what one needs. So, various problems concerned with the analysis of variance and other approaches to analyze such data are discussed in the paper, including checking within-group normality and homocedasticity, analyzing experiments when any of these assumptions is violated, outliers presence, multiple comparison procedures, and other issues.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

【 预 览 】
附件列表
Files Size Format View
RO202005130118385ZK.pdf 47KB PDF download
  文献评价指标  
  下载次数:10次 浏览次数:18次