Graphical literacy: The quality of graphs in a large-circulation journal

Cooper, Richelle J.; Schriger, David L.; Close, Reb J.H.

doi:10.1067/mem.2002.127327

Cited by 58 publications

(50 citation statements)

References 7 publications

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“…type of graphs and presence of distortions), but also to capture two relevant dimensions of graph use, which are clarity and appropriate use of colours. Other studies on graph use (Cooper et al 2002;Schriger et al 2006) were limited to a simple count of specific graphical features. Our approach was instead similar to the one used by De Amici et al (1997), who ranked three scientific journals on the basis of a summary score for graphical quality.…”

Section: Discussionmentioning

confidence: 99%

“…Disagreements were solved by a third researcher (BF). An ad-hoc form was developed on the basis of the existing literature on the evaluation of graphical quality (Tufte 1983;De Amici et al 1997;Schriger and Cooper, 2001;Cooper et al 2002;Cooper et al 2003;Muscatello et al 2006). We assessed type and characteristics of the graphs (e.g.…”

Section: Data Extraction Formmentioning

confidence: 99%

“…An analysis of 12 issues of JAMA found that graphs were generally clear and without errors, but they often failed to depict detailed data (Cooper et al 2002). Among those papers submitted in 2001 to the BMJ that contained graphs, most were simple univariate displays, and few displayed advanced features such as pairing, symbolic dimensionality, or small multiples (Schriger et al 2006).…”

Section: Introductionmentioning

confidence: 99%

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Can public health researchers effectively communicate their findings? An evaluation of graph use at the 2006 European Conference on Public Health

et al. 2011

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Aim To evaluate how researchers in the field of Public Health (PH) use graphical representations in the context of a scientific meeting. Subjects and methods We evaluated 159 graphs contained in the oral presentations given at the 2006 European Conference on Public Health. An ad-hoc data extraction form was developed on the basis of the available literature to evaluate type and characteristics of the graphs (e.g. format of axes, scales, legend, use of colours, presence of distortions). Principal component analysis (PCA) was performed to identify latent variables. Results We found that the majority of graphs were simple univariate displays such as bar diagrams (59.1%), and linear graphs (18.2%). Distortions were present in about 1 out of 3 graphs and they were less common in graphs made by researchers from northern and western European countries than in graphs made by researchers from other countries. Two factors emerged from PCA: clarity of the graph and appropriate use of colours. Conclusion The ability of PH researchers to fully exploit the visual potential of graphs appeared limited. Clarity and use of colours characterised use of graphics in oral presentations.

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Section: Discussionmentioning

confidence: 99%

Section: Data Extraction Formmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Can public health researchers effectively communicate their findings? An evaluation of graph use at the 2006 European Conference on Public Health

et al. 2011

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“…Una buena investigación merece ser bien presentada y esta presentación es tan importante como la colección y análisis de los datos 11,15 . Por lo tanto, cuando se están describiendo estadísticamente o presentando los datos de investigación, se debería tener cuidado en usar medidas estadísticas adecuadas de tendencia central y dispersión.…”

Section: Presentación Inapropiada De Los Datosunclassified

Errores conceptuales de estadística más comunes en publicaciones científicas

Pinel¹,

Márquez

2017

Ces. Med. Vet. Zootec.

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“…Despite the aforementioned critical importance of good quality graphics, a significant amount of low quality graphics are still produced in peer reviewed journals [8,9]. Indeed, entire articles [3] and book chapters [4] have been written about the poor display of data.…”

Section: Principles For the Graphical Display Of Datamentioning

confidence: 99%