ArticleRevista de saude publica2026
Guttman error graphs: a visual approach to scalability analysis.
Article in Revista de saude publica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop an innovative graphical tool to represent Guttman errors and facilitate scalability analysis of measurement instruments in epidemiology.
methodsImplemented in R (RStudio), the guttemap function was developed to fill this gap. It provides an intuitive visual representation of Guttman errors, with color gradients that facilitate the assessment of measurement instruments, revealing internal patterns of inconsistency. The rationale underlying the proposed Guttman error map is presented, along with an annotated summary of the routine for its implementation.
resultsSeven synthetic examples show the potential of graphical representation in identifying problem areas and how this helps to inform adjustments and develop more robust instruments.
conclusionsWith guttemap, Guttman error analysis becomes more accessible and interpretable, contributing to the improvement of measurement instruments and the advancement of epidemiological research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.