eTextbook: Handbook of Meta-analysis in Ecology and Evolution

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    Author(s): Koricheva, Julia; Gurevitch, Jessica; Mengersen, Kerrie

    ISBN 10: 0691137285. See all ISBN's

    ISBN 13: 9780691137285

    Edition:

    Publisher: Princeton University Press

    This is an eTextbook Learn More

    Description:

    Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts.

    The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management.

    • Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation
    • Brings together experts from a broad range of fields
    • Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species
    • Helps you choose the right software
    • Draws on numerous examples based on real biological datasets

    All ISBN's for this title:

    ISBN 10: 0691137285, ISBN 13: 9780691137285, eISBN 10: 1400846188, eISBN 13: 9781400846184

    1. List price can refer to either the digital or print list price, whichever is available to Kno.
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