Special Interest Group on Transparent Statistics in HCI

Transparent statistics is a philosophy of statistical reporting whose purpose is scientific advancement rather than persuasion. We propose a SIG to discuss problems and limitations in statistical practices in HCI and options for moving the field towards clearer and more reliable ways of writing about experiments.

[1]  Matthew Kay,et al.  Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI , 2016, CHI.

[2]  Judy Robertson,et al.  Rethinking statistical analysis methods for CHI , 2012, CHI.

[3]  Rex B. Kline,et al.  Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research , 2004 .

[4]  Pierre Dragicevic,et al.  Fair Statistical Communication in HCI , 2016 .

[5]  Jeffrey Nichols,et al.  RepliCHI SIG: from a panel to a new submission venue for replication , 2012, CHI Extended Abstracts.

[6]  Elizabeth Gilbert,et al.  Reproducibility Project: Results (Part of symposium called "The Reproducibility Project: Estimating the Reproducibility of Psychological Science") , 2014 .

[7]  Donald F. Klein,et al.  Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research , 2005 .

[8]  David Whitney,et al.  How Capacity Limits of Attention Influence Information Visualization Effectiveness , 2012, IEEE Transactions on Visualization and Computer Graphics.

[9]  Andrew Dillon,et al.  User analysis in HCI - the historical lessons from individual differences research , 1996, Int. J. Hum. Comput. Stud..

[10]  Michael S. Bernstein,et al.  The trouble with social computing systems research , 2011, CHI Extended Abstracts.

[11]  R. Fisher,et al.  STATISTICAL METHODS AND SCIENTIFIC INDUCTION , 1955 .

[12]  Paul A. Cairns,et al.  HCI... not as it should be: inferential statistics in HCI research , 2007, BCS HCI.

[13]  G. Cumming,et al.  The New Statistics , 2014, Psychological science.

[14]  Michael C. Frank,et al.  Estimating the reproducibility of psychological science , 2015, Science.

[15]  R. Abelson.  Statistics As Principled Argument , 1995 .

[16]  R. Giner-Sorolla,et al.  Science or Art? How Aesthetic Standards Grease the Way Through the Publication Bottleneck but Undermine Science , 2012, Perspectives on psychological science : a journal of the Association for Psychological Science.