1992
DOI: 10.1111/j.1570-7458.1992.tb00662.x
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of covariance: an alternative to nutritional indices

Abstract: Some statistical problems are added to the growing list of cautionary tales regarding the use of the conventional, ratio‐based nutritional indices (RCR, RGR, ECI, AD and ECD). Analysis of ratios is based on the, probably unrealistic, assumption of an isometric relationship between denominator and numerator variables. Analysis of covariance (ANCOVA) makes less restrictive assumptions, and additionally provides important information about the data which is lost by using ratio variables. We demonstrate, using com… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
250
0
1

Year Published

1997
1997
2020
2020

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 317 publications
(254 citation statements)
references
References 42 publications
3
250
0
1
Order By: Relevance
“…However, when the significant effect of amount of ingested food on the egested food was removed, by ANCOVA, diet effect became significant. This demonstrates that such analysis reduced the variances, increasing the power of test (Raubenheimer & Simpson, 1992), allowing the detection of smaller differences between treatments.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, when the significant effect of amount of ingested food on the egested food was removed, by ANCOVA, diet effect became significant. This demonstrates that such analysis reduced the variances, increasing the power of test (Raubenheimer & Simpson, 1992), allowing the detection of smaller differences between treatments.…”
Section: Resultsmentioning
confidence: 99%
“…Analysis of covariance (ANCOVA) (Raubenheimer & Simpson, 1992), followed by bicoordinate plots (Raubenheimer & Simpson, 1994) was used to remove the effect of covariate feeding time from weight of pupae (growth or performance) and amount of ingested food (consumption). The same statistical procedure was used to separate pre and post-ingestive effects of treatment (Horton & Redak, 1993;Raubenheimer & Simpson, 1994) on A. gemmatalis growth, when the differences in pupal weight and amount of egested food were adjusted for covariate consumption.…”
Section: Methodsmentioning
confidence: 99%
“…The analysis of covariance (ANCOVA), proposed by Raubenheimer & Simpson (1992), followed by bicoordenate plots (Raubenheimer & Simpson 1994), was used to estimate the growth and weight gain of N. viridula individuals. The adult fresh weights were adjusted for the covariates development time and initial weight to obtain insect growth and weight gain, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…The assumption that mixed diets will always be better than single diets is only adequate when no single diet comes close to the insect's nutrient requirements, thè`i ntake target'' Simpson and Raubenheimer 1993b), and when alternative foods are available which happen to complement each other in limiting nutrients or toxin content. Likewise, the assumption that under a speci®c nutrient limitation, food consumption will increase (NH), is ill founded (Raubenheimer 1992). While it is true that the response to limiting nutrients may be to increase consumption until limiting requirements are met, irrespective of whatever other nutrients are ingested in excess (e.g.…”
Section: Introductionmentioning
confidence: 99%