'Faulty thinking' or 'Thinking faulty'?

By Mikenorton - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=4050363

Mikenorton, CC BY-SA 3.0 <https://creativecommons.org/licenses/by-sa/3.0>, via Wikimedia Commons

Identity Politics by Charles Gaines

INDIVIDUAL

|

INTERPERSONAL : SCIENCES

HUMANISTIC----------------------------------------------- MECHANISTIC

SOCIOLOGY : POLITICAL

|

GROUP - COMMUNITY - POPULATION

subjective representation	numbers , mapping , faces , contour plotting , trees
culture race multi-racial

My source: Griffin, J. Layers of complexity, FTWeekend, Life&Arts, 23-24 January, 2021. p.13.

 n.b. Yes, there is bias in terms of sources on this blog, but the FTWeekend is not cheap.

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?