An introduction to modern statistical methods in HCI

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Title:	An introduction to modern statistical methods in HCI
Author(s):	Robertson, J.; Kaptein, M.C.
Publication year:	2016
In:	Robertson, J.; Kaptein, M.C. (ed.), Modern statistical methods for HCI, pp. 1-14
Publisher:	Cham : Springer International Publishing
ISBN:	9783319266312
Series:	Human-Computer Interaction Series
DOI:	http://dx.doi.org/10.1007/978-3-319-26633-6_1
Publication type:	Part of book or chapter of book
Please use this identifier to cite or link to this item : https://hdl.handle.net/2066/161597
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Editor(s):	Robertson, J.; Kaptein, M.C.
Subject:	Cognitive artificial intelligence DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication
Organization:	SW OZ DCC KI
Book title:	Robertson, J.; Kaptein, M.C. (ed.), Modern statistical methods for HCI
Page start:	p. 1
Page end:	p. 14
Abstract:	This chapter explains why we think statistical methodology matters so much to the HCI community and why we should attempt to improve it. It introduces some flaws in the well-accepted methodology of Null Hypothesis Significance Testing and briefly introduces some alternatives. Throughout the book we aim to critically evaluate current practices in HCI and support a less rigid, procedural view of statistics in favour of "fair statistical communication". Each chapter provides scholars and practitioners with the methods and tools to do so.