Power analysis based on spatial effects mixed models: A tool for comparing design and analysis strategies in the presence of spatial variability

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Worker nutrition and division of labour in honeybees (2005, methodology): “For pooled, experiment-wide analyses (experiments 1, 2 and 4), we performed nested ANOVAs with trial analysed as a random effect using PROC MIXED, and with bee nested within trial.”
Rodent foraging is affected by indirect, but not by direct, cues of predation risk (2004, methodology): “We calculated the noncentrality parameter for each effect by using themethod and formulae of Stroup (2002), and we used the observed variance from our mixed-model analysis (Thomas, 1997).”
Seed predation, not seed dispersal, explains the landscape‐level abundance of an early‐successional plant (2006, methodology): “We used the method and formulae of Stroup (2002), the observed variance from our mixed-model analysis (Thomas 1997), and a two-tailed type I error rate (alpha) of 0.05 for calculating power.”