2001
DOI: 10.1006/anbe.2001.1806
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Problems with residual analysis

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Cited by 129 publications
(115 citation statements)
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“…Typical indexes attempt to control for body size by taking simple ratios (mass divided by the cube of body size), slope-adjusted ratios (slope of log(body mass) on log(body size)) or residuals (Jakob et al 1996). All of these indexes have been criticized, largely because the true relationship between the two variables is unknown a priori, and each method introduces assumptions that may not be biologically or statistically justified (see Jakob et al 1996;Kotiaho 1999;Packard & Boardman 1999;Green 2000;Darlington & Smulders 2001;García-Bertou 2001). To confound matters, there is no assurance that fresh weight is always a good indicator of fat reserves, or that fat reserves are a good indicator of fitness.…”
Section: What Is Condition?mentioning
confidence: 99%
“…Typical indexes attempt to control for body size by taking simple ratios (mass divided by the cube of body size), slope-adjusted ratios (slope of log(body mass) on log(body size)) or residuals (Jakob et al 1996). All of these indexes have been criticized, largely because the true relationship between the two variables is unknown a priori, and each method introduces assumptions that may not be biologically or statistically justified (see Jakob et al 1996;Kotiaho 1999;Packard & Boardman 1999;Green 2000;Darlington & Smulders 2001;García-Bertou 2001). To confound matters, there is no assurance that fresh weight is always a good indicator of fat reserves, or that fat reserves are a good indicator of fitness.…”
Section: What Is Condition?mentioning
confidence: 99%
“…The resulting partial regression coefficients express the relationships between dewlap size and bite force, with body size effects statistically removed [54]. This approach is analogous to residual analysis but has the advantage of not losing a degree of freedom ( [43,55]; see [21,56] for examples). Separate multiple regressions were conducted for the restricted and unrestricted diet treatments.…”
Section: (C) Analysesmentioning
confidence: 99%
“…We also ran separate tests for Unambiguous and Borderline ARL, given that they were not necessarily expected to relate to disinhibition in the same way. Where change in ARL was the dependent variable, it was quantified in four different ways [49]: (a) absolute change in ARL frequency (EE-NEE), (b) relative change in ARL frequency (EE/NEE), (c) residual change in ARL frequency (residuals of a regression of ARL in EE on ARL in NEE), and (d) we also ran the GLM with ARL in EE as the dependent variable and ARL in NEE as a covariate, which is conceptually equivalent to residual analysis, but avoids problems associated with this approach [72,73]. When testing for the effects of recurrent perseveration, all three indices (see above) were tested separately.…”
Section: Statistical Analysesmentioning
confidence: 99%