- 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
First Steps in Beginning a Meta-analysis
First Steps in Beginning a Meta-analysis
- Chapter:
- (p.27) 3 First Steps in Beginning a Meta-analysis
- Source:
- Handbook of Meta-analysis in Ecology and Evolution
- Author(s):
Gavin B. Stewart
Isabelle M. Côté
Hannah R. Rothstein
Peter S. Curtis
- Publisher:
- Princeton University Press
This chapter discusses the initiation of the process of systematic research synthesis. Without a systematic approach to defining, obtaining, and collating data, meta-analyses may yield precise but erroneous results, with different types of sampling error (biases) and excess subjectivity in choice of methods and definition of thresholds; these devalue the rigor of any statistical approaches employed. The chapter considers exactly the same issues that face an ecologist designing a field experiment. What's the question? How can I define my sampling universe? How should I collect my data? What analyses should I undertake? How should I interpret my results robustly? These questions are considered in the context of research synthesis.
Keywords: systematic research synthesis, meta-analysis, sampling, data collection, sample error, subjectivity
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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