M. Baker, 1500 scientists lift the lid on reproducibility, Nature, vol.533, pp.452-454, 2016.
DOI : 10.1038/533452a

URL : http://www.nature.com:80/polopoly_fs/1.19970!/menu/main/topColumns/topLeftColumn/pdf/533452a.pdf

G. E. Box and K. B. Wilson, On the Experimental Attainment of Optimum Conditions, pp.270-310, 1992.

V. Braun and V. Clarke, Using thematic analysis in psychology, Qualitative Research in Psychology, vol.3, issue.2, pp.77-101, 2006.
DOI : 10.1191/1478088706qp063oa

URL : http://revistas.ucm.es/index.php/ESMP/article/download/58012/52197

S. Champely, C. Ekstrom, P. Dalgaard, J. Gill, S. Weibelzahl et al., , 2018.

A. Cockburn, C. Gutwin, and A. Dix, HARK No More: On the Preregistration of CHI Experiments, Proc. Human Factors in Computing Systems (CHI '18), vol.141, 2018.

J. Cohen, Statistical power analysis for the behavioral sciences, 1988.

N. David-roxbee-cox and . Reid, The theory of the design of experiments, 2000.

P. Dragicevic, Fair statistical communication in HCI, Modern Statistical Methods for HCI, pp.291-330, 2016.
DOI : 10.1007/978-3-319-26633-6_13

URL : https://hal.archives-ouvertes.fr/hal-01377894

F. Faul, E. Erdfelder, A. Lang, and A. Buchner,

G. Power, A flexible statistical power analysis program for the social, behavioral, and biomedical sciences, Behavior Research Methods, vol.3, issue.01, pp.175-191, 2007.

A. Ronald and . Fisher, The design of experiments, 1937.

T. Grossman and R. Balakrishnan, The Bubble Cursor: Enhancing Target Acquisition by Dynamic Resizing of the Cursor's Activation Area, Proc. Human Factors in Computing Systems (CHI '05, pp.281-290, 2005.

, Transparent Statistics Guidelines, 2018.

A. Matthew and . Jaro, Advances in record-linkage methodology as applied to matching the 1985 census of Tampa, Florida. J. Amer. Statist. Assoc, vol.84, pp.414-420, 1989.

D. Kahneman, J. L. Knetsch, and R. H. Thaler, Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias, Journal of Economic Perspectives, vol.5, issue.1, pp.193-206, 1991.

M. Kay, G. L. Nelson, and E. B. Hekler, ResearcherCentered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI, Proc. Human Factors in Computing Systems (CHI '16), pp.4521-4532, 2016.

D. Ross, The Automation of Science, Science, vol.324, pp.85-89, 2009.

W. Mark and . Lipsey, Design sensitivity: Statistical power for experimental research, vol.19, 1990.

E. Wendy and . Mackay, Using video to support interaction design, DVD Tutorial, vol.2, p.5, 2002.

W. E. Mackay, C. Appert, M. Beaudouin-lafon, O. Chapuis, Y. Du et al., Touchstone: Exploratory Design of Experiments, Proc. Human Factors in Computing Systems (CHI '07), pp.1425-1434, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00538384

X. Meng, P. Sym-foong, S. Perrault, and S. Zhao, NexP: A Beginner Friendly Toolkit for Designing and Conducting Controlled Experiments, pp.132-141, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01717214

T. Morgan, -. Wall, and G. Khoury, skpr: Design of Experiments Suite: Generate and Evaluate Optimal Designs, 2018.

R. ,

R. Kevin, B. Murphy, A. Myors, and . Wolach, Statistical power analysis: A simple and general model for traditional and modern hypothesis tests, 2014.

N. Vijayan, B. Nair, J. Abraham, J. A. Mackay, G. Nelder et al., Taguchi's Parameter Design: A Panel Discussion, Technometrics, vol.34, pp.127-161, 1992.

C. Papadopoulos, I. Gutenko, and A. E. Kaufman, VEEVVIE: Visual Explorer for Empirical Visualization, VR and Interaction Experiments, IEEE Transactions on Visualization and Computer Graphics, vol.22, pp.111-120, 2016.

R. Rao and S. K. Card, The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus + Context Visualization for Tabular Information, Proc. Human Factors in Computing Systems (CHI '94, pp.318-322, 1994.

M. Oliver and S. , crossdes: Construction of Crossover Designs, 2013.

. Sas-institute-inc, JMP ®13 Design of experiments guide, 2016.

P. Joseph, L. D. Simmons, U. Nelson, and . Simonsohn, Falsepositive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant, Psychological science, vol.22, pp.1359-1366, 2011.

N. Larisa, R. Soldatova, and . King, An ontology of scientific experiments, Journal of The Royal Society Interface, vol.3, issue.11, pp.795-803, 2006.

L. Tweedie, R. Spence, H. Dawkes, and H. Su, Externalising Abstract Mathematical Models, Proc. Human Factors in Computing Systems (CHI '96), p.406, 1996.

J. Wicherts, C. Veldkamp, H. Augusteijn, M. Bakker, R. Van-aert et al., Degrees of freedom in planning, running, analyzing, and reporting psychological studies: A checklist to avoid p-hacking, Frontiers in Psychology, vol.7, p.1832, 2016.

D. Wollschläger, Grundlagen der Datenanalyse mit R, 2017.

K. Yatani, Effect Sizes and Power Analysis in HCI, pp.87-110, 2016.