Handbook of Meta-analysis in Ecology and Evolution / / ed. by Kerrie Mengersen, Jessica Gurevitch, Julia Koricheva.
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 we...
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| Superior document: | Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
|---|---|
| MitwirkendeR: | |
| HerausgeberIn: | |
| Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2013] ©2013 |
| Year of Publication: | 2013 |
| Edition: | Core Textbook |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (520 p.) :; 51 line illus. 45 tables. |
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| 001 | 9781400846184 | ||
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| 020 | |a 9781400846184 | ||
| 024 | 7 | |a 10.1515/9781400846184 |2 doi | |
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| 035 | |a (OCoLC)839304795 | ||
| 040 | |a DE-B1597 |b eng |c DE-B1597 |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a nju |c US-NJ | ||
| 050 | 4 | |a QH541.15.S72 |b H36 2017 | |
| 072 | 7 | |a SCI020000 |2 bisacsh | |
| 082 | 0 | 4 | |a 576.8015195 |2 23 |
| 245 | 0 | 0 | |a Handbook of Meta-analysis in Ecology and Evolution / |c ed. by Kerrie Mengersen, Jessica Gurevitch, Julia Koricheva. |
| 250 | |a Core Textbook | ||
| 264 | 1 | |a Princeton, NJ : |b Princeton University Press, |c [2013] | |
| 264 | 4 | |c ©2013 | |
| 300 | |a 1 online resource (520 p.) : |b 51 line illus. 45 tables. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t Section I. Introduction and Planning -- |t 1. Place of Meta-analysis among Other Methods of Research Synthesis -- |t 2. The Procedure of Meta-analysis in a Nutshell -- |t Section II. Initiating a Meta-analysis -- |t 3. First Steps in Beginning a Meta-analysis -- |t 4. Gathering Data: Searching Literature and Selection Criteria -- |t 5. Extraction and Critical Appraisal of Data -- |t 6. Effect Sizes: Conventional Choices and Calculations -- |t 7. Using Other Metrics of Effect Size in Meta-analysis -- |t Section III. Essential Analytic Models and Methods -- |t 8. Statistical Models and Approaches to Inference -- |t 9. Moment and Least-S quares Based Approaches to Meta-analytic Inference -- |t 10. Maximum Likelihood Approaches to Meta-analysis -- |t 11. Bayesian Meta-analysis -- |t 12. Software for Statistical Meta-analysis -- |t Section IV. Statistical Issues and Problems -- |t 13. Recovering Missing or Partial Data from Studies: A Survey of Conversions and Imputations for Meta-analysis -- |t 14. Publication and Related Biases -- |t 15. Temporal Trends in Effect Sizes: Causes, Detection, and Implications -- |t 16. Statistical Models for the Meta-analysis of Nonindependent Data -- |t 17. Phylogenetic Nonindependence and Meta-analysis -- |t 18. Meta-analysis of Primary Data -- |t 19. Meta-analysis of Results from Multisite Studies -- |t Section V. Presentation and Interpretation of Results -- |t 20. Quality Standards for Research Syntheses -- |t 21. Graphical Presentation of Results -- |t 22. Power Statistics for Meta-analysis: Tests for Mean Effects and Homogeneity -- |t 23. Role of Meta-analysis in Interpreting the Scientific Literature -- |t 24. Using Meta-analysis to Test Ecological and Evolutionary Theory -- |t 25. History and Progress of Meta-analysis -- |t 26. Contributions of Meta-analysis to Conservation and Management -- |t 27. Conclusions: Past, Present, and Future of Meta-analysis in Ecology and Evolution -- |t Glossary -- |t Frequently Asked Questions -- |t References -- |t List of Contributors -- |t Subject Index |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a 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 | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) | |
| 650 | 0 | |a Ecology |x Statistical methods. | |
| 650 | 0 | |a Evolution |x Statistical methods. | |
| 650 | 0 | |a Meta-analysis. | |
| 650 | 7 | |a SCIENCE / Life Sciences / Ecology. |2 bisacsh | |
| 653 | |a Bayesian analysis. | ||
| 653 | |a Bayesian approach. | ||
| 653 | |a Lepidoptera mating. | ||
| 653 | |a allometric scaling. | ||
| 653 | |a average trends. | ||
| 653 | |a biodiversity. | ||
| 653 | |a collaborative research. | ||
| 653 | |a computer software. | ||
| 653 | |a conceptual tool. | ||
| 653 | |a conservation. | ||
| 653 | |a conventional wisdom. | ||
| 653 | |a data analysis. | ||
| 653 | |a data appraisal. | ||
| 653 | |a data collection. | ||
| 653 | |a data extraction. | ||
| 653 | |a data gathering. | ||
| 653 | |a data quality. | ||
| 653 | |a ecology. | ||
| 653 | |a effect size. | ||
| 653 | |a effect sizes. | ||
| 653 | |a evolution. | ||
| 653 | |a evolutionary biology. | ||
| 653 | |a exemplar studies. | ||
| 653 | |a forest plots. | ||
| 653 | |a imputation methods. | ||
| 653 | |a insufficient data. | ||
| 653 | |a interaction effects. | ||
| 653 | |a invasive plants. | ||
| 653 | |a knowledge gaps. | ||
| 653 | |a large-scale monitoring. | ||
| 653 | |a least-squares method. | ||
| 653 | |a literature search. | ||
| 653 | |a management intervention. | ||
| 653 | |a maximum likelihood estimation. | ||
| 653 | |a medicine. | ||
| 653 | |a meta-analysis database. | ||
| 653 | |a meta-analysis. | ||
| 653 | |a meta-analytic process. | ||
| 653 | |a meta-regression plots. | ||
| 653 | |a missing data. | ||
| 653 | |a moment-based approach. | ||
| 653 | |a non-independence. | ||
| 653 | |a parameter estimation. | ||
| 653 | |a partial information. | ||
| 653 | |a phylogenetic nonindependence. | ||
| 653 | |a phylogenetic relationships. | ||
| 653 | |a plant abundance. | ||
| 653 | |a primary data. | ||
| 653 | |a problem formulation. | ||
| 653 | |a publication bias. | ||
| 653 | |a published studies. | ||
| 653 | |a quantitative research synthesis. | ||
| 653 | |a research evidence. | ||
| 653 | |a research pooling. | ||
| 653 | |a research practice. | ||
| 653 | |a research synthesis. | ||
| 653 | |a sample error. | ||
| 653 | |a sampling. | ||
| 653 | |a scatter plots. | ||
| 653 | |a scientific literature. | ||
| 653 | |a scientific publications. | ||
| 653 | |a scoping search. | ||
| 653 | |a sex ratio theory. | ||
| 653 | |a sexual selection. | ||
| 653 | |a small-scale surveys. | ||
| 653 | |a social sciences. | ||
| 653 | |a statistical analysis. | ||
| 653 | |a statistical inference. | ||
| 653 | |a statistical methodology. | ||
| 653 | |a statistical models. | ||
| 653 | |a statistical power. | ||
| 653 | |a statistical software. | ||
| 653 | |a statistical tool. | ||
| 653 | |a study quality. | ||
| 653 | |a study replication. | ||
| 653 | |a study selection. | ||
| 653 | |a subjectivity. | ||
| 653 | |a systematic research synthesis. | ||
| 653 | |a systematic review. | ||
| 653 | |a systematic reviews. | ||
| 653 | |a systematic search. | ||
| 653 | |a temporal change. | ||
| 653 | |a temporal trends. | ||
| 653 | |a visualization. | ||
| 700 | 1 | |a Curtis, Peter S., |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Côté, Isabelle M., |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Gurevitch, Jessica, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Gurevitch, Jessica, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Jennions, Michael D., |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Koricheva, Julia, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Koricheva, Julia, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Lajeunesse, Marc J., |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Lau, Joseph, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Lortie, Christopher J., |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Mengersen, Kerrie, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Mengersen, Kerrie, |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Rosenberg, Michael S., |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Rothstein, Hannah R., |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Schmid, Christopher H., |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 700 | 1 | |a Stewart, Gavin B., |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t Princeton University Press eBook-Package Backlist 2000-2013 |z 9783110442502 |
| 776 | 0 | |c print |z 9780691137292 | |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9781400846184?locatt=mode:legacy |
| 856 | 4 | 0 | |u https://www.degruyter.com/isbn/9781400846184 |
| 856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/cover/covers/9781400846184.jpg |
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