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5029185 
Book/Book Chapter 
Handbook of Meta-analysis in Ecology and Evolution 
Koricheva, J; Gurevitch, J; Mengersen, K 
2013 
Princeton University Press 
Princeton, NJ 
English 
has individual parts 5029203 Chapter 1: Place of meta-analysis among other methods of research synthesis
has individual parts 5029215 Chapter 2: The procedure of meta-analysis in a nutshell
has individual parts 5029228 Chapter 3: First steps in beginning a meta-analysis
has individual parts 5029236 Chapter 4: Gathering data : searching literature and selection criteria
has individual parts 5029237 Chapter 5: Extraction and critical appraisal of data
has individual parts 5029238 Chapter 6: Effect sizes : conventional choices and calculations
has individual parts 5029239 Chapter 7: Using other metrics of effect size in meta-analysis
has individual parts 5029240 Chapter 8: Statistical models and approaches to inference
has individual parts 5029241 Chapter 9: Moment and least-squares based approaches to meta-analytic inference
has individual parts 5029242 Chapter 10: Maximum likelihood approaches to meta-analysis
has individual parts 5029243 Chapter 11: Bayesian meta-analysis
has individual parts 5029244 Chapter 12: Software for statistical meta-analysis
has individual parts 5029245 Chapter 13: Recovering missing or partial data from studies : a survey of conversions and imputations for meta-analysis
has individual parts 5029246 Chapter 14: Publication and related biases
has individual parts 5029247 Chapter 15: Temporal trends in effect sizes : causes, detection, and implications
has individual parts 5029248 Chapter 16: Statistical models for the meta-analysis of nonindependent data
has individual parts 5029249 Chapter 17: Phylogenetic nonindependence and meta-analysis
has individual parts 5029250 Chapter 18: Meta-analysis of primary data
has individual parts 5029251 Chapter 19: Meta-analysis of results from multisite studies
has individual parts 5029252 Chapter 20: Quality standards for research syntheses
has individual parts 5029253 Chapter 21: Graphical presentation of results
has individual parts 5029254 Chapter 22: Power statistics for meta-analysis : tests for mean effects and homogeneity
has individual parts 5029255 Chapter 23: Role of meta-analysis in interpreting the scientific literature
has individual parts 5029256 Chapter 24: Using meta-analysis to test ecological and evolutionary theory
has individual parts 5029257 Chapter 25: History and progress of meta-analysis
has individual parts 5029258 Chapter 26: Contributions of meta-analysis to conservation and management
has individual parts 5029259 Chapter 27: Conclusions : past, present, and future of meta-analysis in ecology and evolution
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 walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The book 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. The book is 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. 
ISBN-13: 978-0691137292, ISBN-10: 0691137293