Jonathan Peirce is Associate Professor in Psychology at the University of Nottingham, with a background in visual neuroscience and a particular interest in research methods. For his research, Jon needed precise (and dynamic) stimulus presentations. For teaching psychology undergraduates about research methods, he needed software that was intuitive enough for them to understand. The combination of these needs (and his generally geekiness) caused Jon gradually to create PsychoPy. Happily, many people have got on board with the project and it grew. When he isn't designing experiments, writing software or trying to teach students to be awesome scientists, Jon can be found walking his dog, playing with his daughter or making unpleasant noises on a guitar. Michael MacAskill is a Senior Research Fellow in the Department of Medicine at the University of Otago, Christchurch. He is also the Research Director at the New Zealand Brain Research Institute. His training is in experimental psychology and his research is mainly in the field of Parkinson's disease, through projects in brain imaging, neuropsychology, and epidemiology. His main joy, however, lies in measuring fast eye movements (saccades).Looking for better ways to study them, in 2008 he discovered what Jon had achieved with PsychoPy, and has since become a passionate believer in the enabling power of open-source software.Living in a geologically active area, Michael recently decided to move from a house perched on a cliff in a volcano to one situated in a very large lawn. In the weekends, he can be found mowing that lawn.
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Chapter 1: Introduction PART I: FOR THE BEGINNER Chapter 2: Building your first experiment Chapter 3: Using images: A study into face perception Chapter 4: Timing and brief stimuli: Posner cueing Chapter 5: Running studies online Chapter 6: Creating dynamic stimuli (revealing text and moving stimuli) Chapter 7: Providing feedback: Simple code components Chapter 8: Collecting survey data using forms Chapter 9: Using sliders Chapter 10: Randomizing and counterbalancing blocks of trials: A bilingual Stroop task Chapter 11: Using the mouse for input: Creating a visual search task PART II: FOR THE PROFESSIONAL Chapter 12: Implementing research designs with randomization Chapter 13: Coordinates and color spaces Chapter 14: Understanding your computer timing issues Chapter 15: Monitors and monitor center Chapter 16: Debugging your experiment Chapter 17: Pro tips, tricks, and lesser-known features PART III: FOR THE SPECIALIST Chapter 18: Psychophysics, stimuli and staircases Chapter 19: Building an FMRI study Chapter 20: Building an EEG study Chapter 21: Add eye tracking to your experiment Appendices
The 2020 pandemic has forced a lot of researchers to move their physical lab experiments online. If you are already doing this, or thinking about it, the second edition of "Building Experiments in PsychoPy" is a must have. The new edition offers sage advice on online data collection and provides a walkthrough on how to use some of its new components (e.g., creating surveys via Forms. ). -- Jason Geller In ye olden days when I was a student, we had to script our experiments, which was tedious and error-prone, or use proprietary software, which was expensive and inflexible. This is why I love PsychoPy Builder, and Building Experiments in PsychoPy is a great resource for today's budding experimenters. -- Hei?a Maria Sigur?ardottir