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On the meta-analysis of response ratios for studies with correlated and multi-group designs

Lajeunesse, Marc J.·2011·Ecology

Abstract

A common effect size metric used to quantify the outcome of experiments for ecological meta-analysis is the response ratio (RR): the log proportional change in the means of a treatment and control group. Estimates of the variance of RR are also important for meta-analysis because they serve as weights when effect sizes are averaged and compared. The variance of an effect size is typically a function of sampling error; however, it can also be influenced by study design. Here, I derive new variances and covariances for RR for several often-encountered experimental designs: when the treatment and control means are correlated; when multiple treatments have a common control; when means are based on repeated measures; and when the study has a correlated factorial design, or is multivariate. These developments are useful for improving the quality of data extracted from studies for meta-analysis and help address some of the common challenges meta-analysts face when quantifying a diversity of experimental designs with the response ratio.

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Metadata

Authors
Lajeunesse, M. J.
Venue
Ecology
Publisher
Wiley
Published
2011-11
Volume
92
Issue
11
Pages
2049-2055
ISSN
0012-9658 (ISSN-L)
OpenAlex
W2080255336
Cited by
432
References
3
FWCI
1.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On the meta-analysis of response ratios for studies with correlated and multi-group designs. https://app.cochat.ai/papers/10.1890/11-0423.1
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Lajeunesse, M. J. (2011). On the meta-analysis of response ratios for studies with correlated and multi-group designs. Ecology. https://doi.org/10.1890/11-0423.1

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