Hodges' Model: Welcome to the QUAD: A paper by Anzures-Cabrera & Higgins, Graphical displays for meta-analysis: An overview with suggestions for practice

Hodges' model is a conceptual framework to support reflection and critical thinking. Situated, the model can help integrate all disciplines (academic and professional). Amid news items, are posts that illustrate the scope and application of the model. A bibliography and A4 template are provided in the sidebar. Welcome to the QUAD ...

Thursday, April 29, 2010

A paper by Anzures-Cabrera & Higgins, Graphical displays for meta-analysis: An overview with suggestions for practice

The interesting paper below is currently available online:

Graphical displays for meta-analysis: An overview with suggestions for practice,
Judith Anzures-Cabrera, Julian P. T. Higgins

Keywords: meta-analysis • graphical displays • forest plot • funnel plot • Galbraith plot • L'Abbe plot

Abstract:

Meta-analyses are fundamental tools for collating and synthesizing large amounts of information, and graphical displays have become the principal tool for presenting the results of multiple studies of the same research question. We review standard and proposed graphical displays for presentation of meta-analytic data, and offer our recommendations on how they might be presented to provide the most useful and user-friendly illustrations. We concentrate on graphs that specifically aim to present similar sorts of univariate results from multiple studies. We start with forest plots and funnel plots, and proceed to Galbraith (or radial) plots, L'Abbé (and related) plots, further plots useful for investigating heterogeneity, plots useful for model diagnostics and plots for illustrating likelihoods and Bayesian meta-analyses.

Judith Anzures-Cabrera, Julian P. T. Higgins (2010) Graphical displays for meta-analysis: An overview with suggestions for practice, Research Synthesis Methods, 1, 1, 66-80.
DOI: 10.1002/jrsm.6

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I will explore these plot / diagram forms and update the diagrams listing on Links II accordingly. I wonder if this journal (or another?) will re-visit the question of visualization methods in the humanities - social sciences?