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003 | CUTN | ||
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_a9781529741667 _q(print) |
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050 | 0 | 0 |
_aBF198.5 _b.P45 2022 |
082 | 0 | 4 |
_a150.285 _223/eng/20220428 _bJON |
100 | 1 |
_aPeirce, Jonathan, _eauthor. |
|
245 | 1 | 0 |
_aBuilding experiments in PsychoPy / _cJonathan Peirce, Rebecca Hirst & Michael Macaskill. |
250 | _a2nd ed. | ||
260 |
_aLondon : _bSage Publishing , _c2022. |
||
300 |
_a299p : _bill ; _c25 cm. |
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505 | _aChapter 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. | ||
520 | _aThis book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. | ||
650 | 0 |
_aPsychology, Experimental _xComputer programs. |
|
650 | 6 |
_aPsychologie expérimentale _xLogiciels. |
|
650 | 7 |
_aPsychology, Experimental _xComputer programs. _2fast |
|
700 | 1 |
_aHirst, Rebecca, _eauthor. |
|
700 | 1 |
_aMacAskill, Michael, _eauthor. |
|
776 | 0 | 8 |
_iebook version : _z9781529788693 |
906 |
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