國立虎尾科技大學 |

Modern Statistical Methods for HCI

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Modern Statistical Methods for HCI/ edited by Judy Robertson, Maurits Kaptein.
other author:	Robertson, Judy.
Description:	XX, 348 p. 77 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	User interfaces (Computer systems). -
Online resource:	https://doi.org/10.1007/978-3-319-26633-6
ISBN:	9783319266336

Modern Statistical Methods for HCI
Modern Statistical Methods for HCI[electronic resource] /edited by Judy Robertson, Maurits Kaptein. - 1st ed. 2016. - XX, 348 p. 77 illus.online resource. - Human–Computer Interaction Series,1571-5035. - Human–Computer Interaction Series,.

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.

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.

ISBN: 9783319266336

Standard No.: 10.1007/978-3-319-26633-6doiSubjects--Topical Terms:

1253526
User interfaces (Computer systems).

LC Class. No.: QA76.9.U83

Dewey Class. No.: 005.437

Modern Statistical Methods for HCI
LDR:03472nam a22004335i 4500 001 981291
003 DE-He213
005 20200703123739.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319266336 $9 978-3-319-26633-6
024 7 $a 10.1007/978-3-319-26633-6 $2 doi
035 $a 978-3-319-26633-6
050 4 $a QA76.9.U83
050 4 $a QA76.9.H85
072 7 $a UYZG $2 bicssc
072 7 $a COM070000 $2 bisacsh
072 7 $a UYZG $2 thema
082 0 4 $a 005.437 $2 23
082 0 4 $a 4.019 $2 23
245 1 0 $a Modern Statistical Methods for HCI $h [electronic resource] / $c edited by Judy Robertson, Maurits Kaptein.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XX, 348 p. 77 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Human–Computer Interaction Series, $x 1571-5035
505 0 $a 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 $a 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.
650 0 $a User interfaces (Computer systems). $3 1253526
650 0 $a Statistics . $3 1253516
650 1 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Statistics for Social Sciences, Humanities, Law. $3 1211304
700 1 $a Robertson, Judy. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1106565
700 1 $a Kaptein, Maurits. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1106566
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319266312
776 0 8 $i Printed edition: $z 9783319266329
776 0 8 $i Printed edition: $z 9783319799841
830 0 $a Human–Computer Interaction Series, $x 1571-5035 $3 1254242
856 4 0 $u https://doi.org/10.1007/978-3-319-26633-6
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)