An Introduction to Modern Statistical Methods in HCI

Judy Robertson*, Maurits Kaptein

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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.

Original languageEnglish
Title of host publicationModern statistical methods for HCI
EditorsJ Robertson, M Kaptein
PublisherSpringer
Pages1-14
ISBN (Print)978-3-319-26631-2
DOIs
Publication statusPublished - 2016

Publication series

NameHuman-Computer Interaction Series
PublisherSPRINGER
ISSN (Print)1571-5035

Keywords

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Cite this

Robertson, J., & Kaptein, M. (2016). An Introduction to Modern Statistical Methods in HCI. In J. Robertson, & M. Kaptein (Eds.), Modern statistical methods for HCI (pp. 1-14). (Human-Computer Interaction Series). Springer. https://doi.org/10.1007/978-3-319-26633-6_1