Graphs have been an essential tool for the analysis and communication of statistical data for about 200 years. Despite widespread use and their importance in science, business, and many other walks of life, relatively little is known about how people perceive and process statistical graphs. This article reviews several empirical studies designed to explore the suitability of various graphs for a variety of purposes, and discusses the relevant theoretical psychological literature. The role of traditional psychophysics is considered, especially in connection with the long-running dispute concerning the relative merits of pie and bar charts. The review also discusses experiments on the perception of scatterplots and the use of multivariate dis...
Graphs have long been of interest in telecommunications and social net-work analysis, and they are n...
Includes bibliographical references (pages 126-160)The hypothesis that Graphoanalysis (GA) is a vali...
An ability to understand the outputs of data analysis is a key characteristic of data literacy and t...
Statistical graphs in particular, line graphs and bar graphs are efficient means of communication in...
The history of statistics has become interesting in recent decades to a remarkably diverse group of ...
Graphical presentation of data provides a fast way of extracting information from data and is the pr...
Graphical presentation of data provides a fast way of extracting information from data and is the pr...
The statistical community is divided when it comes to graphical methods and mod-els. Graphics resear...
The appeal of statistical graphs depends heavily on their ability to exploit our natural perceptual ...
Graphs are a cultural product, meaning that they are a human invention with defined rules and syntax...
This is an open-access article distributed under the terms of the Creative Commons Attribution Licen...
In this chapter, we propose that the study of graphs from a social psychological perspective is both...
Graphical displays are frequently used to express quantitative information in texts, but viewers are...
Most psychological research employs tables to report descriptive and inferential statistics. Unfortu...
Gaussian graphical models (GGM, aka partial correlation networks) have become increasingly popular i...
Graphs have long been of interest in telecommunications and social net-work analysis, and they are n...
Includes bibliographical references (pages 126-160)The hypothesis that Graphoanalysis (GA) is a vali...
An ability to understand the outputs of data analysis is a key characteristic of data literacy and t...
Statistical graphs in particular, line graphs and bar graphs are efficient means of communication in...
The history of statistics has become interesting in recent decades to a remarkably diverse group of ...
Graphical presentation of data provides a fast way of extracting information from data and is the pr...
Graphical presentation of data provides a fast way of extracting information from data and is the pr...
The statistical community is divided when it comes to graphical methods and mod-els. Graphics resear...
The appeal of statistical graphs depends heavily on their ability to exploit our natural perceptual ...
Graphs are a cultural product, meaning that they are a human invention with defined rules and syntax...
This is an open-access article distributed under the terms of the Creative Commons Attribution Licen...
In this chapter, we propose that the study of graphs from a social psychological perspective is both...
Graphical displays are frequently used to express quantitative information in texts, but viewers are...
Most psychological research employs tables to report descriptive and inferential statistics. Unfortu...
Gaussian graphical models (GGM, aka partial correlation networks) have become increasingly popular i...
Graphs have long been of interest in telecommunications and social net-work analysis, and they are n...
Includes bibliographical references (pages 126-160)The hypothesis that Graphoanalysis (GA) is a vali...
An ability to understand the outputs of data analysis is a key characteristic of data literacy and t...