Building experiments in PsychoPy
著者
書誌事項
Building experiments in PsychoPy
SAGE, 2018
- : [hardback]
- : pbk
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注記
"PsychoPy, psychology software in Python"--P. [1] of cover
Includes bibliographical references (p. [293]-294) and index
内容説明・目次
内容説明
PsychoPy is an open-source (free) software package for creating rich, dynamic experiments for psychology, neuroscience, and linguistics. It provides an intuitive graphical interface (the 'Builder') as well as the option to insert Python code. This combination makes it easy for teaching, but also flexible enough for all manner of behavioural experiments. Divided into three parts, this textbook is suitable for teaching practical undergraduate classes on research methods, or as a reference text for the professional scientist.
The book is written by Jonathan Peirce, the original creator of PsychoPy and Michael MacAskill, and they utilise their breadth of experience in Python development to educate students and researchers in this intuitive, yet powerful, experiment generation package.
目次
Chapter 1: Introduction
Section 1: 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: Creating dynamic stimuli (revealing text and moving stimuli)
Chapter 6: Providing feedback: simple Code Components
Chapter 7: Ratings: Measure the Big 5 personality constructs
Chapter 8: Randomization, blocks and counterbalancing: a bilingual
Chapter 9: Using the mouse for input: creating a visual search task li
Section 2: For the professional
Chapter 10: Implementing research designs with randomization
Chapter 11: Coordinates and color spaces
Chapter 12: Understanding your computer timing issues
Chapter 13: Monitors and Monitor Center
Chapter 14: Debugging Your Experiment
Chapter 15: Pro-tips, tricks, and lesser-known features
Section 3: For the specialist
Chapter 16: Psychophysics, stimuli and staircases
Chapter 17: Building an fMRI study
Chapter 18: Building an EEG study
Chapter 19: Add eye-tracking to your experiment
A: Mathematics refresher
B: Exercise solutions
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