New Statistics for Design Researchers : A Bayesian Workflow in Tidy R /
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 ofexamples, efficient resea...
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| Language: | eng |
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Cham : Springer,
2021
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| _version_ | 1826471403891720192 |
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| author | Schmettow, Martin, author 642999 |
| author_facet | Schmettow, Martin, author 642999 |
| author_sort | Schmettow, Martin, author 642999 |
| collection | OCEAN |
| description | 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 ofexamples, 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 generalizedlinear 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. New Statistics for Design Researchers: A Bayesian Workflow in Tidy R 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 withminimal 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. |
| first_indexed | 2024-03-05T17:02:52Z |
| format | |
| id | KOHA-OAI-TEST:599314 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:02:52Z |
| publishDate | 2021 |
| publisher | Cham : Springer, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:5993142022-08-17T01:16:23ZNew Statistics for Design Researchers : A Bayesian Workflow in Tidy R / Schmettow, Martin, author 642999 Cham : Springer,2021engDesign 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 ofexamples, 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 generalizedlinear 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. New Statistics for Design Researchers: A Bayesian Workflow in Tidy R 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 withminimal 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. Includes bibliographical references Part I: Preparations -- Introduction -- Getting started with R -- Elements of Bayesian statistics -- Part II: Models -- Basic Linear Models -- Multi-predictor models -- Multi-level models -- Generalized Linear Models -- Working with models -- Appendix: Cases 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 ofexamples, 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 generalizedlinear 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. New Statistics for Design Researchers: A Bayesian Workflow in Tidy R 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 withminimal 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. User interfaces (Computer systems)|Human-computer interactionURN:ISBN:9783030463793 |
| spellingShingle | User interfaces (Computer systems)| Human-computer interaction Schmettow, Martin, author 642999 New Statistics for Design Researchers : A Bayesian Workflow in Tidy R / |
| title | New Statistics for Design Researchers : A Bayesian Workflow in Tidy R / |
| title_full | New Statistics for Design Researchers : A Bayesian Workflow in Tidy R / |
| title_fullStr | New Statistics for Design Researchers : A Bayesian Workflow in Tidy R / |
| title_full_unstemmed | New Statistics for Design Researchers : A Bayesian Workflow in Tidy R / |
| title_short | New Statistics for Design Researchers : A Bayesian Workflow in Tidy R / |
| title_sort | new statistics for design researchers a bayesian workflow in tidy r |
| topic | User interfaces (Computer systems)| Human-computer interaction |
| work_keys_str_mv | AT schmettowmartinauthor642999 newstatisticsfordesignresearchersabayesianworkflowintidyr |