000			02542 a2200265 4500
008			240425b 2022|||||||| |||| 00| 0 eng d
020			_a9781529741650 (PB)
041			_aeng
080			_a159.9 _bPEI
100			_aPeirce, Jonathan
245			_aBuilding Experiments in PsychoPy
250			_a2nd ed.
260			_bSAGE _c2022 _aLondon
300			_aix, 299p.
504			_aIncludes References (290,291) and Index
505			_a1. Introduction 2. Building your first experiment 3. Using images: A study into face perception 4. Timing and brief stimuli: Posner cueing 5. Running studies online 6. Creating dynamic stimuli (revealing text and moving stimuli) 7. Providing feedback: Simple code components 8. Collecting survey data using forms 9. Using sliders 10. Randomizing and counterbalancing blocks of trials: A bilingual Stroop task 11. Using the mouse for input: Creating a visual search task 12. Implementing research designs with randomization 13. Coordinates and color spaces 14. Understanding your computer timing issues 15. Monitors and monitor center 16. Debugging your experiment 17. Pro tips, tricks, and lesser-known features 18. Psychophysics, stimuli and staircases 19. Building an FMRI study 20. Building an EEG study 21. Add eye tracking to your experiment
520			_aPsychoPy is an open-source (free) software package for creating rich, dynamic experiments in 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 enough for teaching, but also flexible enough for all manner of behavioural experiments. As a result, PsychoPy has become the software package of choice in psychology departments at universities all over the world. Divided into three parts and with unique learning features to guide readers at whatever level they are at, 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 who have utilised their breadth of experience in Python development to educate students and researchers in this intuitive, yet powerful, experiment generation package.
650			_aPsychology
650			_aExperimental Psychology
650			_aIntroduction to Psychology
690			_aGeneral
700			_aHirst, Rebecca
700			_aMacaskill, Michael
942			_cBK
999			_c60143 _d60143