Doing better statistics in human-computer interaction (Record no. 41430)
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000 -LEADER | |
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fixed length control field | 02234nam a22001937a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | PILC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20201014114154.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 201014b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 978-1-108-71059-6 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | Elb 001.422 |
Item number | C13d 2019 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Cairns, Paul |
245 ## - TITLE STATEMENT | |
Title | Doing better statistics in human-computer interaction |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc. | United Kindom: |
Name of publisher, distributor, etc. | Cambridge University Press |
Date of publication, distribution, etc. | 2019 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 254p. |
Other physical details | PDF, 1.12 MB |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Each chapter of this book covers specific topics in statistical analysis, such as robust alternatives to t-tests or how to develop a questionnaire. They also address particular questions on these topics, which are commonly asked by human-computer interaction (HCI) researchers when planning or completing the analysis of their data. The book presents the current best practice in statistics, drawing on the state-of-the-art literature that is rarely presented in HCI. This is achieved by providing strong arguments that support good statistical analysis without relying on mathematical explanations. It additionally offers some philosophical underpinnings for statistics, so that readers can see how statistics fit with experimental design and the fundamental goal of discovering new HCI knowledge. Read more... <br/>Abstract: Each chapter of this book covers specific topics in statistical analysis, such as robust alternatives to t-tests or how to develop a questionnaire. They also address particular questions on these topics, which are commonly asked by human-computer interaction (HCI) researchers when planning or completing the analysis of their data. The book presents the current best practice in statistics, drawing on the state-of-the-art literature that is rarely presented in HCI. This is achieved by providing strong arguments that support good statistical analysis without relying on mathematical explanations. It additionally offers some philosophical underpinnings for statistics, so that readers can see how statistics fit with experimental design and the fundamental goal of discovering new HCI knowledge |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | 1. Statistics 2. Questionnaires--Design 3. Human-computer interaction |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://b-ok.asia/book/4985613/76e8b2">https://b-ok.asia/book/4985613/76e8b2</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | E-Books |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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Dewey Decimal Classification | Non-fiction | Higher Education Department Library | Higher Education Department Library | Easy Book Section | 10/14/2020 | Free Access(https://b-ok.asia/book/4985613/76e8b2) | Elb 001.422 C13d 2019 | Elb 286 | 10/14/2020 | 10/14/2020 | E-Books |