Modern Statistical Methods for HCI (Record no. 54460)

000 -LEADER
fixed length control field 03796nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-319-26633-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111652.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160322s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319266336
-- 978-3-319-26633-6
082 04 - CLASSIFICATION NUMBER
Call Number 005.437
082 04 - CLASSIFICATION NUMBER
Call Number 4.019
245 10 - TITLE STATEMENT
Title Modern Statistical Methods for HCI
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XX, 348 p. 77 illus.
490 1# - SERIES STATEMENT
Series statement Human-Computer Interaction Series,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Preface -- An Introduction to Modern Statistical Methods for HCI -- Part I: Getting Started With Data Analysis -- Getting started with [R]: A Brief Introduction -- Descriptive Statistics, Graphs, and Visualization -- Handling Missing Data -- Part II: Classical Null Hypothesis Significance Testing Done Properly -- Effect sizes and Power in HCI -- Using R for Repeated and Time-Series Observations -- Non-Parametric Statistics in Human-Computer Interaction -- Part III : Bayesian Inference -- Bayesian Inference -- Bayesian Testing of Constrained Hypothesis -- Part IV: Advanced Modeling in HCI -- Latent Variable Models -- Using Generalized Linear (Mixed) Models in HCI -- Mixture Models: Latent Profile and Latent Class Analysis -- Part V: Improving Statistical Practice in HCI -- Fair Statistical Communication in HCI -- Improving Statistical Practice in HCI.
520 ## - SUMMARY, ETC.
Summary, etc This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader.  Covering many techniques and approaches for exploratory data analysis including effect and power calculations, experimental design, event history analysis, non-parametric testing and Bayesian inference; the research contained in this book discusses how to communicate statistical results fairly, as well as presenting a general set of recommendations for authors and reviewers to improve the quality of statistical analysis in HCI. Each chapter presents [R] code for running analyses on HCI examples and explains how the results can be interpreted. Modern Statistical Methods for HCI is aimed at researchers and graduate students who have some knowledge of "traditional" null hypothesis significance testing, but who wish to improve their practice by using techniques which have recently emerged from statistics and related fields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.
700 1# - AUTHOR 2
Author 2 Robertson, Judy.
700 1# - AUTHOR 2
Author 2 Kaptein, Maurits.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-26633-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- User interfaces (Computer systems).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- User Interfaces and Human Computer Interaction.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1571-5035
912 ## -
-- ZDB-2-SCS

No items available.