자료유형  

 단행본

International Standard Book Number  

9781400846184 (electronic bk.)

International Standard Book Number  

1400846188 (electronic bk.)

International Standard Book Number  

9780691137285

International Standard Book Number  

0691137285

International Standard Book Number  

9780691137292

International Standard Book Number  

0691137293

Library of Congress Call Number  

QH541.15.S72-H36 2013eb

Dewey Decimal Classification Number  

576.8-23

Publication, Distribution, etc. (Imprint  

Princeton : Princeton University Press, 2013

Physical Description  

1 online resource (xv, 498 p) : ill.

Bibliography, Etc. Note  

Includes bibliographical references (pages 447-485) and index.

Formatted Contents Note  

완전내용Place of meta-analysis among other methods of research synthesis / Julia Koricheva and Jessica Gurevitch -- The procedure of meta-analysis in a nutshell / Isabelle M. Côté and Michael D. Jennions -- First steps in beginning a meta-analysis / Gavin B. Stewart, Isabelle M. Côté, Hannah R. Rothstein, and Peter S. Curtis -- Gathering data : searching literature and selection criteria / Isabelle M. Côté, Peter S. Curtis, Hannah R. Rothstein, and Gavin B. Stewart -- Extraction and critical appraisal of data / Peter S. Curtis, Kerrie Mengersen, Marc J. Lajeunesse, Hannah R. Rothstein, and Gavin B. Stewart -- Effect sizes : conventional choices and calculations / Michael S. Rosenberg, Hannah R. Rothstein, and Jessica Gurevitch -- Using other metrics of effect size in meta-analysis / Kerrie Mengersen and Jessica Gurevitch -- Statistical models and approaches to inference / Kerrie Mengersen, Christopher H. Schmid, Michael D. Jennions, and Jessica Gurevitch -- Moment and least-squares based approaches to meta-analytic inference / Michael S. Rosenberg -- Maximum likelihood approaches to meta-analysis / Kerrie Mengersen and Christopher H. Schmid -- Bayesian meta-analysis / Christopher H. Schmid and Kerrie Mengersen -- Software for statistical meta-analysis / Christopher H. Schmid, Gavin B. Stewart, Hannah R. Rothstein, Marc J. Lajeunesse, and Jessica Gurevitch -- Recovering missing or partial data from studies : a survey of conversions and imputations for meta-analysis / Marc J. Lajeunesse -- Publication and related biases / Michael D. Jennions, Christopher J. Lortie, Michael S. Rosenberg, and Hannah R. Rothstein -- Temporal trends in effect sizes : causes, detection, and implications / Julia Koricheva, Michael D. Jennions, and Joseph Lau -- Statistical models for the meta-analysis of nonindependent data / Kerrie Mengersen, Michael D. Jennions, and Christopher H. Schmid -- Phylogenetic nonindependence and meta-analysis / Marc J. Lajeunesse, Michael S. Rosenberg, and Michael D. Jennions -- Meta-analysis of primary data / Kerrie Mengersen, Jessica Gurevitch, and Christopher H. Schmid -- Meta-analysis of results from multisite studies / Jessica Gurevitch -- Quality standards for research syntheses / Hannah R. Rothstein, Christopher J. Lortie, Gavin B. Stewart, Julia Koricheva, and Jessica Gurevitch -- Graphical presentation of results / Christopher J. Lortie, Joseph Lau, and Marc J. Lajeunesse -- Power statistics for meta-analysis : tests for mean effects and homogeneity / Marc J. Lajeunesse -- Role of meta-analysis in interpreting the scientific literature / Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva -- Using meta-analysis to test ecological and evolutionary theory / Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva -- History and progress of meta-analysis / Joseph Lau, Hannah R. Rothstein, and Gavin B. Stewart -- Contributions of meta-analysis to conservation and management / Isabelle M. Côté and Gavin B. Stewart -- Conclusions : past, present, and future of meta-analysis in ecology and evolution / Jessica Gurevitch and Julia Koricheva.

Summary, Etc.  

요약"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 "--해제Provided by publisher.

Subject Added Entry-Topical Term  

Ecology Statistical methods

Subject Added Entry-Topical Term  

Evolution Mathematical models

Subject Added Entry-Topical Term  

Meta-analysis

Subject Added Entry-Topical Term  

SCIENCE / Life Sciences / Ecology.

Subject Added Entry-Topical Term  

SCIENCE / Life Sciences / Evolution.

Subject Added Entry-Topical Term  

MATHEMATICS / Probability & Statistics / General.

Added Entry-Personal Name  

Koricheva, Julia , 1967-

Added Entry-Personal Name  

Gurevitch, Jessica.

Added Entry-Personal Name  

Mengersen, Kerrie L.

Additional Physical Form Entry  

Print version Handbook of meta-analysis in ecology and evolution. Princeton : Princeton University Press, [2013] 9780691137285 (DLC) 2012041108 (OCoLC)820123442

Electronic Location and Access  

로그인을 한후 보실 수 있는 자료입니다.

Control Number  

joongbu:423431