Experimental Design and Data Analysis for Biologists

By J. Reid. 2003

1,104 citations recorded by the source corpus.

Subfields: Ecology, Forestry, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8b2fe7be249cb4039b639d4369168447eb74e677

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Citations in the corpus

Drought-related tree death of savanna eucalypts: Species susceptibility, soil conditions and root architecture (2007, methodology): “…the covariate over which group means were significantly different at 0.05 was tested using the Wilcox modification of the Johnson-Neyman procedure (Quinn & Keough 2002, p. 351). in annual rainfall were then calculated for a 3-y period prior to and including each month (i.e. 3-y drought index for…”
Final Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian (2009, background): “…of significance tests by scientists (Grant 1962, Henkel 1976, Oakes 1986, Sedlmeier & Gigerenzer 1989, Cohen 1990, Altman 1991, Inman 1994, Schmidt 1996, Hurlbert 1998, Johnson 1999, Marden 2000, Tryon 2001, Hurlbert & Lombardi 2003, Balluerka et al. 2005, Levine et al. 2008a, b).”
Transgenerational plasticity and environmental stress: do paternal effects act as a conduit or a buffer? (2016, methodology): “Note that model is reduced after testing random factors and their interactions that did not explain significantly more variance (see Quinn & Keough 2002 for details).”
Contrasting patterns in the invasions of European terrestrial and freshwater habitats by alien plants, insects and vertebrates (2010, methodology): “To check the appropriateness of the trees, residuals were plotted against predicted values of their terminal nodes (Quinn & Keough, 2002).”
Chemosensory assessment of rival competitive ability and scent-mark function in a lizard, Podarcis hispanica (2007, methodology): “Because graphical exploration showed that data could not be assumed to be normally distributed, we fitted a partly nested robust analysis of variance (ANOVA) (Quinn & Keough 2002) model using SPSS 11.5 (SPSS Inc., Chicago, IL, U.S.A.).”
Plant and bird diversity in natural forests and in native and exotic plantations in NW Portugal (2010, methodology): “Mean species richness of sample units was compared between forest types using the Welch test, an alternative to ANOVA recommended when homoscedasticity is not verified (Grissom, 2000; Quinn and Keough, 2002).”
Edge effects in patchy seagrass landscapes: The role of predation in determining fish distribution (2011, methodology): “Type III Sum of Squares was used to reduce problems associated with uneven sample sizes where replicates had been omitted (Quinn and Keough, 2002).”
An approach for modelling the mean fine-root biomass of Norway spruce stands (2005, methodology): “To comply with the regulations underlying linear regression, we computed logarithmic transformations of dependent and independent variables according to Quinn and Keough (2002).”
Diet and resource use among Greenland sharks (Somniosus microcephalus) and teleosts sampled in Icelandic waters, using δ13C, δ15N, and mercury (2010, methodology): “Likelihood ratio tests are useful for identifying the difference in fit of a more parameterized model relative to a reduced model (Quinn and Keough 2002) and were therefore used to test whether the fit of the model including both resource use category and d15N was improved relative to the model incl”
Multiple factors explain the covering behaviour in the green sea urchin, Strongylocentrotus droebachiensis (2007, methodology): “We conducted multiple comparisons on the main effect of size despite the presence of a significant interaction between site and size, as suggested by Quinn & Keough (2002) for mixed-model ANOVAs.”
A confidence interval approach to data analysis (2004, methodology): “Retrospective power analysis can also be used to assess statistical power after an experiment has been conducted (Fairweather, 1991; Quinn and Keough, 2002) but recent criticism of this procedure (Goodman and Berlin, 1994; Steidl et al., 1997; Gerard et al., 1998; Hoenig and Heisey, 2001; Lenth,…”
Insect community composition and trophic guild structure in decaying logs from eastern Canadian pine-dominated forests (2006, methodology): “Univariate analysis of variance (ANOVA) using a randomized blockdesign, with site as the blocking factor, was then performed on each of these PCA axes (Quinn and Keough, 2002).”
Phenology of High-Arctic Arthropods: Effects of Climate on Spatial, Seasonal, and Inter-Annual Variation (2008, methodology): “To compare the degree of spatial correlation, we used permutationmethods (Quinn and Keough, 2002) to draw sub‐samples from the available”
ExpDes: An R Package for ANOVA and Experimental Designs (2014, background): “According to [4], the two main aims of classical ANOVA are: • to examine the relative contribution of different sources of variation (factors or combination of factors, i.”
Bioengineer effects on understory species richness, diversity, and composition change along an environmental stress gradient: Experimental and mensurative evidence (2013, methodology): “Thus, we calculated the corresponding quadratic equations through standard nonlinear fitting (Quinn and Keough, 2002).”