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Doing Better Statistics In Humancomputer Interaction Cairns

Name: Doing Better Statistics In Humancomputer Interaction Cairns
SKU: BELL-9971226
Price: 31.00 USD
Availability: InStock
Rating: 4.25 (18 reviews)

SKU: BELL-9971226

$ 31.00 ~~$ 45.00~~ (-31%)

4.3

18 reviews

Doing Better Statistics In Humancomputer Interaction Cairns instant download after payment.

Publisher: Cambridge University Press

File Extension: PDF

File size: 1.12 MB

Pages: 254

Author: Cairns, Paul

ISBN: 110848252X, 1108685137, 110871059X, 9781108482523, 9781108685139, 9781108710596

Language: English

Year: 2019

Product desciption

Doing Better Statistics In Humancomputer Interaction Cairns by Cairns, Paul 110848252X, 1108685137, 110871059X, 9781108482523, 9781108685139, 9781108710596 instant download after payment.

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.
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