作者
Paul C D Johnson, Sarah J E Barry, Heather M Ferguson, Pie Müller
发表日期
2015/2
期刊
Methods in Ecology and Evolution
卷号
6
期号
2
页码范围
133-142
简介
- ‘Will my study answer my research question?’ is the most fundamental question a researcher can ask when designing a study, yet when phrased in statistical terms – ‘What is the power of my study?’ or ‘How precise will my parameter estimate be?’ – few researchers in ecology and evolution (EE) try to answer it, despite the detrimental consequences of performing under‐ or over‐powered research. We suggest that this reluctance is due in large part to the unsuitability of simple methods of power analysis (broadly defined as any attempt to quantify prospectively the ‘informativeness’ of a study) for the complex models commonly used in EE research. With the aim of encouraging the use of power analysis, we present simulation from generalized linear mixed models (GLMMs) as a flexible and accessible approach to power analysis that can account for random effects, overdispersion and diverse response …
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PCD Johnson, SJE Barry, HM Ferguson, P Müller - Methods in ecology and evolution, 2015
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PCD Johnson, SJE Barry, HM Ferguson, P Müller