{"product_id":"new-statistics-for-design-researchers-a-bayesian-workflow-in-tidy-r","title":"New Statistics for Design Researchers: A Bayesian Workflow in Tidy R","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eHundreds 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. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eDesign 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.\u003c\/p\u003e\u003cp\u003eWith 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.\u003c\/p\u003eUsing 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 data generating processes, as well as rational decision making.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eNew Statistics for Design Researchers: A Bayesian Workflow in Tidy R\u003c\/i\u003e targets scientists, industrial researchers and students in a range of disciplines, such as Human Factors, Applied Psychology, Communication Science, Industrial Design, Computer Science and Social Robotics. Statistical concepts are introduced in a problem-oriented way and with minimal formalism. Included primers on R and Bayesian statistics provide entry point for all backgrounds. A dedicated chapter on model criticism and comparison is a valuable addition for the seasoned scientist.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 852g\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 244 x 166 x 31 (mm)\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030463793\n                            \u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2021\n                          \u003c\/p\u003e","brand":"Martin Schmettow","offers":[{"title":"Hardback","offer_id":44103157154042,"sku":"9783030463793","price":49.97,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/shulphink.com\/products\/new-statistics-for-design-researchers-a-bayesian-workflow-in-tidy-r","provider":"Shulph Ink","version":"1.0","type":"link"}