Doing better statistics in human-computer interaction / Paul Cairns.
Material type: TextPublisher: Cambridge : Cambridge University Press, 2019Description: 1 online resource (xvi, 235 pages) : digital, PDF file(s)Content type:- text
- computer
- online resource
- 9781108685139 (ebook)
- 004.019 23
- QA76.9.H85 C35 2019
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
eBooks | Central Library | Sociology | Available | EB0352 |
Title from publisher's bibliographic system (viewed on 29 Jan 2019).
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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