| 書目名稱 | New Statistics for Design Researchers | | 副標(biāo)題 | A Bayesian Workflow | | 編輯 | Martin Schmettow | | 視頻video | http://file.papertrans.cn/666/665768/665768.mp4 | | 概述 | Takes a problem-oriented approach to introducing a modern statistical framework.Illustrates a broad range of situations in design research, using 19 case studies (all data included) and 90 models..Pro | | 叢書名稱 | Human–Computer Interaction Series | | 圖書封面 |  | | 描述 | .Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations...With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included..Using Bayesian linear models, multi-level models and generalized linear models, an extensive statistical framework is introduced, covering a huge variety of research situations and yet, building on only a handful of basic concepts. Unique solutions to recurring problems are presented, such as psychometric multi-level models, beta regression for rating scales and ExGaussian regression for response times. A “think-first” approach is promoted for model building, as much as the quantitative interpretation of results, stimulating readers to think about | | 出版日期 | Textbook 2021 | | 關(guān)鍵詞 | Human factors; Design research; Bayesian statistics; R code; Linear Models | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-46380-9 | | isbn_softcover | 978-3-030-46382-3 | | isbn_ebook | 978-3-030-46380-9Series ISSN 1571-5035 Series E-ISSN 2524-4477 | | issn_series | 1571-5035 | | copyright | Springer Nature Switzerland AG 2021 |
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