McBride Graham B
J Environ Qual. 2019 Mar;48(2):412-420. doi: 10.2134/jeq2018.03.0101.
Many policies require reporting on water quality trends. This is usually addressed by testing a hypothesis positing that there was zero slope in some parameter of the sampled population over a given period. Failure to achieve "statistical significance" is often falsely interpreted as evidence that there was no trend of concern-the -value of these tests can become ever smaller as the sample size increases and so also can the detectable trend. To avoid this problem, a new trend direction assessment (TDA) procedure is proposed, based on a formulation in psychological literature that considers error risks when inferring the direction of differences between two population means. The TDA procedure abandons testing altogether and instead calculates probabilities that water quality variables have been increasing or decreasing. Nominated probability breakpoints then give rise to a graduated scale in which phrases such as "extremely likely" or "unlikely" can be used to summarize results, avoiding casting many into a "not statistically significant" box. This trend assessment procedure requires no more information than a traditional test, for which the significance level is reinterpreted as a misclassification error rate (inferring an increase when in fact there was a decrease, or vice versa). Example applications of this procedure to small and large datasets are given. This procedure also possesses a possible framework that addresses the more complex question of whether water quality has been "maintained," in which a trend magnitude of environmental significance must be defined. The TDA procedure may be applied to any environment, not just water quality.
许多政策要求报告水质趋势。这通常通过检验一个假设来解决,该假设假定在给定时期内抽样总体的某些参数的斜率为零。未能达到“统计显著性”常常被错误地解释为没有值得关注的趋势的证据——随着样本量的增加,这些检验的p值会变得越来越小,可检测到的趋势也是如此。为避免这个问题,基于心理学文献中的一种公式提出了一种新的趋势方向评估(TDA)程序,该公式在推断两个总体均值之间差异的方向时考虑了误差风险。TDA程序完全摒弃了检验,而是计算水质变量上升或下降的概率。然后,指定的概率断点会产生一个分级量表,在这个量表中,可以使用“极有可能”或“不太可能”等表述来总结结果,避免将许多情况归为“无统计显著性”的范畴。这种趋势评估程序所需的信息不比传统检验多,传统检验的显著性水平被重新解释为错误分类错误率(即实际上是下降时推断为上升,反之亦然)。给出了该程序在小型和大型数据集上的示例应用。这个程序还拥有一个可能的框架,可解决水质是否得到“维持”这一更为复杂的问题,在这个框架中,必须定义具有环境意义的趋势幅度。TDA程序可应用于任何环境,而不仅仅是水质。