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Handbook of Meta-analysis in Ecology and Evolution$
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Handbook of Meta-analysis in Ecology and Evolution

Julia Koricheva, Jessica Gurevitch, and Kerrie Mengersen

Print publication date: 2013

Print ISBN-13: 9780691137285

Published to Princeton Scholarship Online: October 2017

DOI: 10.23943/princeton/9780691137285.001.0001

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PRINTED FROM PRINCETON SCHOLARSHIP ONLINE (www.princeton.universitypressscholarship.com). (c) Copyright Princeton University Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in PRSO for personal use.date: 18 May 2022

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
DOI:10.23943/princeton/9780691137285.003.0021

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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