- Title Pages
- Dedication
- Preface
-
1 Place of Meta-analysis among Other Methods of Research Synthesis -
2 The Procedure of Meta-analysis in a Nutshell -
3 First Steps in Beginning a Meta-analysis -
4 Gathering Data: Searching Literature and Selection Criteria -
5 Extraction and Critical Appraisal of Data -
6 Effect Sizes: Conventional Choices and Calculations -
7 Using Other Metrics of Effect Size in Meta-analysis -
8 Statistical Models and Approaches to Inference -
9 Moment and Least-Squares Based Approaches to Meta-analytic Inference -
10 Maximum Likelihood Approaches to Meta-analysis -
11 Bayesian Meta-analysis -
12 Software for Statistical Meta-analysis -
13 Recovering Missing or Partial Data from Studies: A Survey of Conversions and Imputations for Meta-analysis -
14 Publication and Related Biases -
15 Temporal Trends in Effect Sizes: Causes, Detection, and Implications -
16 Statistical Models for the Meta-analysis of Nonindependent Data -
17 Phylogenetic Nonindependence and Meta-analysis -
18 Meta-analysis of Primary Data -
19 Meta-analysis of Results from Multisite Studies -
20 Quality Standards for Research Syntheses -
21 Graphical Presentation of Results -
22 Power Statistics for Meta-analysis: Tests for Mean Effects and Homogeneity -
23 Role of Meta-analysis in Interpreting the Scientific Literature -
24 Using Meta-analysis to Test Ecological and Evolutionary Theory -
25 History and Progress of Meta-analysis -
26 Contributions of Meta-analysis to Conservation and Management -
27 Conclusions: Past, Present, and Future of Meta-analysis in Ecology and Evolution - Glossary
- Frequently Asked Questions
- References
- List of Contributors
- Subject Index
Place of Meta-analysis among Other Methods of Research Synthesis
Place of Meta-analysis among Other Methods of Research Synthesis
- Chapter:
- (p.3) 1 Place of Meta-analysis among Other Methods of Research Synthesis
- Source:
- Handbook of Meta-analysis in Ecology and Evolution
- Author(s):
Julia Koricheva
Jessica Gurevitch
- Publisher:
- Princeton University Press
Meta-analysis is a method of research synthesis. Research synthesis may be defined as a review of primary research on a given topic with the purpose of integrating the findings (e.g., for creating generalizations or resolving conflicts). Research synthesis is central to the scientific enterprise. Without it, the evidence for various alternative hypotheses cannot be properly evaluated and generalizations cannot be reached, thus the advance of the scientific field as well as any potential practical applications are inhibited. Meta-analysis employs specialized techniques for data gathering and analysis developed specifically for the purposes of research synthesis. This chapter reviews the variety of approaches to research synthesis and discusses their relative merits, advantages, limitations, and drawbacks.
Keywords: meta-analysis, statistical methodology, research synthesis
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- Title Pages
- Dedication
- Preface
-
1 Place of Meta-analysis among Other Methods of Research Synthesis -
2 The Procedure of Meta-analysis in a Nutshell -
3 First Steps in Beginning a Meta-analysis -
4 Gathering Data: Searching Literature and Selection Criteria -
5 Extraction and Critical Appraisal of Data -
6 Effect Sizes: Conventional Choices and Calculations -
7 Using Other Metrics of Effect Size in Meta-analysis -
8 Statistical Models and Approaches to Inference -
9 Moment and Least-Squares Based Approaches to Meta-analytic Inference -
10 Maximum Likelihood Approaches to Meta-analysis -
11 Bayesian Meta-analysis -
12 Software for Statistical Meta-analysis -
13 Recovering Missing or Partial Data from Studies: A Survey of Conversions and Imputations for Meta-analysis -
14 Publication and Related Biases -
15 Temporal Trends in Effect Sizes: Causes, Detection, and Implications -
16 Statistical Models for the Meta-analysis of Nonindependent Data -
17 Phylogenetic Nonindependence and Meta-analysis -
18 Meta-analysis of Primary Data -
19 Meta-analysis of Results from Multisite Studies -
20 Quality Standards for Research Syntheses -
21 Graphical Presentation of Results -
22 Power Statistics for Meta-analysis: Tests for Mean Effects and Homogeneity -
23 Role of Meta-analysis in Interpreting the Scientific Literature -
24 Using Meta-analysis to Test Ecological and Evolutionary Theory -
25 History and Progress of Meta-analysis -
26 Contributions of Meta-analysis to Conservation and Management -
27 Conclusions: Past, Present, and Future of Meta-analysis in Ecology and Evolution - Glossary
- Frequently Asked Questions
- References
- List of Contributors
- Subject Index