- 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
Graphical Presentation of Results
Graphical Presentation of Results
- Chapter:
- (p.339) 21 Graphical Presentation of Results
- Source:
- Handbook of Meta-analysis in Ecology and Evolution
- Author(s):
Christopher J. Lortie
Joseph Lau
Marc J. Lajeunesse
- Publisher:
- Princeton University Press
Visualizations of data are one of the most compelling means to effectively communicate ideas in science. Graphs present data in a visual form enabling the reader to read values, identify patterns, assess the outcome of a statistical technique, or analyze relationships within or between variables. Effective visualizations of meta-analyses have been discussed extensively in the evidence-based medical literature and to a lesser extent in ecology and evolutionary biology. The two most common meta-analysis plots are derived from the social sciences and include (1) modified error bar plots called forest plots used to summarize and compare weighted mean effects, and (2) meta-regression plots (scatterplots with significant fit lines) used to show the relationship between main effects and covariates. This chapter describes these two standard meta-analysis plots and provides sample graphics to illustrate usage. Details are also included for the use of simple histograms and funnel plots.
Keywords: visualization, meta-analysis, forest plots, scatter plots, meta-regression plots
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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
