Participants responses in the study by Harrison et al., "Ranking Visualizations of correlation according to Weber's law"
Source:R/vis_correlation.R
vis_correlation.RdA dataset containing the aggregated responses of the participants. In this study, participants were asked to make multiple judgements about the correlation.
Format
A data frame with 502 rows and 26 variables:
- participant
Participant identifier
- vis
Type of visualization used
- rdirection
The direction of the slope of the line (positive or negative)
- sign
The direction of the slope of the line (1 or -1)
- visandsign
A combination variable of visualization type and rdirection
- rbase
The coefficient of correlation using which the stimuli was generated
- approach
NA
- jnd
Estimated JND value for that participant
- condition
Condition that the participant was placed in (which is a combination of vis, rbase and approach)
References
Pierre Dragicevic, Yvonne Jansen, Abhraneel Sarma, Matthew Kay and Fanny Chevalier. (2019). "Increasing the transparency of research papers with explorable multiverse analyses." *Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems* pp. 1-15.
Kay, Matthew, and Jeffrey Heer. (2016). "Beyond Weber's law: A second look at ranking visualizations of correlation." *IEEE transactions on visualization and computer graphics* 22.1: 469-478.
Lane Harrison, Fumeng Yang, Steven Franconeri, and Remco Chang. (2014). "Ranking visualizations of correlation using Weber's law." *IEEE transactions on visualization and computer graphics* 20.12: 1943-1952.