Bibliography for the Grenoble talk "Statistical Dances"
- (Cumming, 2008) Geoff Cumming. 2008. Replication and p intervals: p values predict the future only vaguely, but confidence intervals do much better. Perspectives on Psychological Science, 3(4), 286-300.
- (Dragicevic, 2016) Pierre Dragicevic. Fair Statistical Communication in HCI. Modern Statistical Methods for HCI. Springer International Publishing, 2016. 291-330.
- (Dragicevic, Chevalier and Huot, 2014) Pierre Dragicevic, Fanny Chevalier, and Stéphane Huot. 2014. Running an HCI Experiment in Multiple Parallel Universes. In CHI '14 Extended Abstracts. ACM, 607-618.
- (Fisher, 1955) Ronald Fisher. 1955. Statistical Methods and Scientific Induction. Journal of the Royal Statistical Society. Series B (Methodological), 69-78.
- (Gelman, 2016) Andrew Gelman. 2016. Crimes Against Data (blog post).
- (Giner-Sorolla, 2012) Roger Giner-Sorolla. 2012. Science or Art? How Aesthetic Standards Grease the Way through the Publication Bottleneck but Undermine Science. Perspectives on Psychological Science 7(6):562–571
- (Ioannidis, 2005) John Ioannidis. 2015. Why most published research findings are false. PLos med 2.8 (2005): e124.
- (Kay et al, 2016) Matthew Kay, Gregory L. Nelson, and Eric B. Hekler. 2016. Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI. 2016. In Proc. CHI '16. ACM, 4521-4532.
- (Kay, 2016) Matthew Kay's R library for doing eye plots.
- (Kurtenbach et al, 1993a) Kurtenbach, Gordon P., Abigail J. Sellen, and William AS Buxton. An empirical evaluation of some articulatory and cognitive aspects of marking menus. Human-Computer Interaction 8.1 (1993): 1-23.
- (Kurtenbach et al, 1993b) Kurtenbach, Gordon, and William Buxton. The limits of expert performance using hierarchic marking menus. Proceedings of the INTERACT'93 and CHI'93 conference on Human factors in computing systems. ACM, 1993.
- (Lai et al, 2012) Jerry Lai, Fiona Fidler, and Geoff Cumming. Subjective p Intervals: Researchers Underestimate the Variability of p Values Over Replication. Methodology (2012).
- (Lakens, 2016) Daniel Lakens. 2016. Dance of the Bayes factors (blog post).
- (OSC, 2015) Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), aac4716.
- (Schmidt and Hunter, 1997) Franck Schmidt and John Hunter. 1997. Eight Common but False Objections to the Discontinuation of Significance Testing in the Analysis of Research Data. What if there were no significance tests. pp 37–64
- (van Deemter K, 2010) Kees van Deemter. 2010. Not Exactly: in Praise of Vagueness. Oxford University Press.
Bibliography for the BioVis Primer talk "Statistical Dances"
- (Cumming, 2009) Geoff Cumming. 2009. The dance of p-values (Youtube video). The slide image is from the more recent video The New Statistics: Confidence Intervals, NHST, and p Values (Workshop Part 1).
- (Correll and Gleicher, 2014) Michael Correll and Michael Gleicher. 2014. Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error. IEEE TVCG 20.12 (2014): 2142-2151.
- (Dragicevic, 2016) Pierre Dragicevic. Fair Statistical Communication in HCI. Modern Statistical Methods for HCI. Springer International Publishing, 2016. 291-330.
- (Dragicevic, Chevalier and Huot, 2014) Pierre Dragicevic, Fanny Chevalier, and Stéphane Huot. 2014. Running an HCI Experiment in Multiple Parallel Universes. In CHI '14 Extended Abstracts. ACM, 607-618.
- (Fisher, 1955) Ronald Fisher. 1955. Statistical Methods and Scientific Induction. Journal of the Royal Statistical Society. Series B (Methodological), 69-78.
- (Gelman, 2016) Andrew Gelman. 2016. Crimes Against Data (blog post).
- (Giner-Sorolla, 2012) Roger Giner-Sorolla. 2012. Science or Art? How Aesthetic Standards Grease the Way through the Publication Bottleneck but Undermine Science. Perspectives on Psychological Science 7(6):562–571
- (Hullman, Resnick and Adar, 2015) Jessica Hullman, Paul Resnick and Eytan Adar. 2015. Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering. PloS one 10.11 (2015): e0142444.
- (Kay et al, 2016) Matthew Kay, Gregory L. Nelson, and Eric B. Hekler. 2016. Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI. 2016. In Proc. CHI '16. ACM, 4521-4532.
- (Kay, 2016) Matthew Kay's R library for doing eye plots.
- (Lakens, 2016) Daniel Lakens. 2016. Dance of the Bayes factors (blog post).
- (Le Goc et al, 2016) Mathieu Le Goc, Pierre Dragicevic, Samuel Huron, Jeremy Boy, and Jean-Daniel Fekete. 2016. A Better Grasp on Pictures Under Glass: Comparing Touch and Tangible Object Manipulation using Physical Proxies. In Proc. AVI '16. ACM, 76-83.
- (Rozeboom, 1960) William W. Rozeboom quoted in Timothy R. Levine, René Weber, Craig Hullett, Hee Sun Park and Lisa L. Massi Lindsey. 2008. A Critical Assessment of Null Hypothesis Significance Testing in Quantitative Communication Research. Human Communication Research, 34(2), 171-187.
- (Schmidt and Hunter, 1997) Franck Schmidt and John Hunter. 1997. Eight Common but False Objections to the Discontinuation of Significance Testing in the Analysis of Research Data. What if there were no significance tests. pp 37–64
- (van Deemter K, 2010) Kees van Deemter. 2010. Not Exactly: in Praise of Vagueness. Oxford University Press.
Other Material
The slides and all the videos are available at the bad stats page.