- 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