This friendly and comprehensive book should be required reading for any student planning a psychology/neuroscience experiment. It provides a friendly introduction for the non-programmer as well as a handy reference guide for the more advanced user. Your students will thank you for recommending it. Make sure that your library has it in stock.
Python is quickly becoming the programming language of choice in psychology and one very useful toolbox for designing and implementing experiments is PsychoPy. The PsychoPy Builder, in combination with this book, provides a smooth transition into the fine art of writing experiment code. This book is written by vision scientists, and it shows.
Including a variety of real-word examples and step-by-step screenshots for beginners with further sections for professionals, this a resource essential reading for anyone wanting to use it for serious research.
This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills. No more tinkering with the templates of other people’s scripts (unless you want to, of course). The book provides clear instructions on how to build computerized experiments from scratch to the exact specifications you want.
An essential read for anyone starting out creating computer-based experiments using PsychoPy. As an open source project, PsychoPy has evolved far beyond its original purpose, to the point where it can now interact with a variety of different hardware devices (e.g., eye-trackers, button boxes) and produce online web-based experiments. So, the time is ripe for a manual that gently guides the reader through from beginner to professional and ultimately to discovering the specialist applications of PsychoPy.
This book offers a great start into building your own experiments. The examples and hands-on exercises (with increasing difficulty) facilitate the learning process and the book furthermore offers an outlook and tips on more complicated topics. So it’s not only useful for the first programming steps but also in later stages of experimental design. The book is continuously written for novices in programming, which makes the start of programming less frustrating.
Excellent book. Within the course, there are four specializations (one for experimental design). I will use it within that specialization.
This is an outstanding book in that it introduces PsychoPy in a way that is comprehensible and accessible to students (and professionals) who do not have previous programming experience. It provides a structure that a student could follow, and it uses examples (Stroop task, personality construct measurement) that are simple and should be known by all students reaching the point where they take an experimental project-based course.
For those that are interested in an open source solution for building experiments, this book is a 'must have'. Very comprehensive in its content, this book provides a good starting point for beginners.
I can recommend this book to all students and professionals in the field of experimental psychology. Next to the book you will receive links on additional material to start working.
This book is a esential reading for anyone wanting to use open-source software for experimental design in Psychology. It's written in a very comprehensive and readable style and includes step-by-step guides for designing real experiments for both beginners and professionals. If it would have been published years ago, I would have designed my experiments in PsychoPy! Highly recommended.
This is a great book giving students an easy way to self program experiments. And even for me as a trained user of psychopy it offered some new interesting information. Great book, great program!
It's a great book written in a great cause. In my opinion, students hate generating tasks in complex and unfriendly software packages - and need a great deal of workshop time and support in order to be able to do so. PsychoPy is the easiest package I have come across, and this book is a great - and approachable - introduction. It is the book I would have written if I had known anything about PsychoPy! (And I didn't). But with it, I have taken my own first steps to binning those horrible software packages of yesterday.