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Sinopsis
Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers' knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.
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Críticas
Advance praise: 'If you, and your experiments, have been bruised by statistical misfortune, then this is the book for you. Paul Cairns' wise and pragmatic advice talks us through the practical use of statistics in Human-Computer Interaction, showing his own bruises when necessary. This should become the standard reference that the field needs.' Alan Blackwell, University of Cambridge
Advance praise: 'In Human-Computer Interaction, we gather data from experiment designs that are often more complex or messy than those presented as examples in a basic textbook on statistics. Cairns presents digestible information for an interdisciplinary audience with expertise and authority. I will be buying a copy of this book for my students, and also one for myself!' Regan Mandryk, University of Saskatchewan, Canada
Advance praise: 'This is a must-read for novice or well-established researchers alike, who are worried about whether they are conducting the correct statistical analyses of their data. Paul Cairns makes learning about statistics seem both fun and interesting. I'm confident that this book will positively impact the quality of future Human-Computer Interaction research.' Anna L. Cox, University College London Interaction Centre
Reseña del editor
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.
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- EditorialCambridge University Press
- Año de publicación2019
- ISBN 10 110848252X
- ISBN 13 9781108482523
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas250
EUR 18,38
EUR 26,17 gastos de envío desde Reino Unido a Estados Unidos de America
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Doing Better Statistics in Human-Computer Interaction
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Hardcover. Condición: new. Hardcover. 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. Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers' knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781108482523
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Hardcover. Condición: new. Hardcover. 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. Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers' knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781108482523
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Doing Better Statistics in Human-Computer Interaction
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Condición: New. Über den AutorPaul Cairns is a reader in Human-Computer Interaction at the University of York and Scholar-in-Residence for The AbleGamers Charity that helps people with disabilities combat social isolation by making videogames more . Nº de ref. del artículo: 254759309
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Doing Better Statistics in Human-Computer Interaction
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Buch. Condición: Neu. Neuware - This book addresses common questions from HCI researchers when trying to do statistical analysis on their data. Nº de ref. del artículo: 9781108482523
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