- 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
Effect Sizes: Conventional Choices and Calculations
Effect Sizes: Conventional Choices and Calculations
- Chapter:
- (p.61) 6 Effect Sizes: Conventional Choices and Calculations
- Source:
- Handbook of Meta-analysis in Ecology and Evolution
- Author(s):
Michael S. Rosenberg
Hannah R. Rothstein
Jessica Gurevitch
- Publisher:
- Princeton University Press
One of the fundamental concepts in meta-analysis is that of the effect size. An effect size is a statistical parameter that can be used to compare, on the same scale, the results of different studies in which a common effect of interest has been measured. This chapter describes the conventional effect sizes most commonly encountered in ecology and evolutionary biology, and the types of data associated with them. While choice of a specific measure of effect size may influence the interpretation of results, it does not influence the actual inference methods of meta-analysis. One critical point to remember is that one cannot combine different measures of effect size in a single meta-analysis: once you have chosen how you are going to estimate effect size, you need to use it for all of the studies to be analyzed.
Keywords: meta-analysis, effect size, ecology, evolutionary biology
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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
