Has Water Quality Improved or Been Maintained? A Quantitative Assessment Procedure
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 t...
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Published in | Journal of environmental quality Vol. 48; no. 2; pp. 412 - 420 |
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Format | Journal Article |
Language | English |
Published |
United States
The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc
01.03.2019
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Abstract | 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 P‐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.
Core Ideas
Abandon reporting of “statistical significance” for trend analysis.
Assess trend direction rather than using hypothesis/significance tests.
Calculate the probability that the trend direction has been correctly identified.
Use a graduated descriptive probability scale to present results.
Use results to inform an assessment of whether water quality has been maintained. |
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AbstractList | 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 P‐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.
Core Ideas
Abandon reporting of “statistical significance” for trend analysis.
Assess trend direction rather than using hypothesis/significance tests.
Calculate the probability that the trend direction has been correctly identified.
Use a graduated descriptive probability scale to present results.
Use results to inform an assessment of whether water quality has been maintained. 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. 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 P ‐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. Core Ideas Abandon reporting of “statistical significance” for trend analysis. Assess trend direction rather than using hypothesis/significance tests. Calculate the probability that the trend direction has been correctly identified. Use a graduated descriptive probability scale to present results. Use results to inform an assessment of whether water quality has been maintained. |
Author | McBride, Graham B. |
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Cites_doi | 10.1037/h0047595 10.1080/00288330.2016.1150309 10.1016/j.cacc.2007.03.011 10.1007/s001800000040 10.2307/2685077 10.1080/01621459.1942.10501760 10.1177/1745691614551642 10.2307/2289131 10.1897/07-373.1 10.1016/j.envsci.2008.01.001 10.1016/j.envsoft.2015.07.017 10.1037/1082-989X.5.4.411 10.1002/0471733199 10.1029/2007WR006191 10.1214/ss/1032280304 10.1007/s002679910002 10.1016/j.swaqe.2015.02.004 10.1002/9781118033197 10.1007/s10661-013-3278-0 10.1016/j.trac.2006.05.009 10.2307/2684616 10.1021/acs.est.5b00656 10.1016/j.landusepol.2014.06.003 10.1007/s10661-013-3574-8 10.1139/f95-020 10.1007/s00267-018-1037-2 10.1016/j.envpol.2004.12.023 10.1080/07438140509354413 |
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SubjectTerms | Environmental Monitoring - methods Water Pollution - analysis Water Pollution - statistics & numerical data Water Quality - standards |
Title | Has Water Quality Improved or Been Maintained? A Quantitative Assessment Procedure |
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