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Copyright © 2020 by Morgan & Claypool
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher.
Statistics for HCI: Making Sense of Quantitative Data
Alan Dix
ISBN: 9781681737430 paperback
ISBN: 9781681737447 ebook
ISBN: 9781681737454 hardcover
DOI 10.2200/S00974ED1V01Y201912HCI044
A Publication in the Morgan & Claypool Publishers series
SYNTHESIS LECTURES ON HUMAN-CENTERED INFORMATICS
Lecture #44
Series Editor: John M. Carroll, Penn State University
Series ISSN
Print 1946-7680 Electronic 1946-7699
Statistics for HCI
Making Sense of Quantitative Data
Alan Dix
Computational Foundry, Swansea University, Wales
SYNTHESIS LECTURES ON HUMAN-CENTERED INFORMATICS #44
ABSTRACT
Many people find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help readers navigate this morass: to understand the debates, to be able to read and assess other people’s statistical reports, and make appropriate choices when designing and analysing their own experiments, empirical studies, and other forms of quantitative data gathering.
KEYWORDS
statistics, human–computer interaction, quantitative data, evaluation, hypothesis testing, Bayesian statistics significance testing, p-hacking
Contents
