Anchors and ratios to quantify and explain y-axis distortion effects in graphs.

• Tác giả: Denis Cousineau, Shuo Zang
• Ngôn ngữ: eng
• Thông tin xuất bản: United States : Journal of experimental psychology. Learning, memory, and cognition , 2025
• Bộ sưu tập: NCBI
• ID: 187943

Tóm tắt

Data visualizations are common in publications addressed to scientists and the general public. A common graph distortion effect can be obtained by changing the y-axis range. On bar graphs with lower truncated scales (the y-axis starting point is above the data origin), observers tend to perceive larger differences between the values depicted. Herein, we define