Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
|
Buy Now
New Statistics for Design Researchers - A Bayesian Workflow in Tidy R (Paperback, 1st ed. 2021)
Loot Price: R1,524
Discovery Miles 15 240
|
|
New Statistics for Design Researchers - A Bayesian Workflow in Tidy R (Paperback, 1st ed. 2021)
Series: Human-Computer Interaction Series
Expected to ship within 10 - 15 working days
|
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 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 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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.