Building experiments in PsychoPy:
PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysin...
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| Format: | Buch |
| Sprache: | English |
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Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne
SAGE
2022
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| Ausgabe: | 2nd edition |
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| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this 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."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." – Susanne Quadflieg, University of Bristol |
| Beschreibung: | IX, 299 Seiten Illustrationen |
| ISBN: | 9781529741650 9781529741667 |
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| adam_text | CONTENTS Acknowledgments How to use your book Online resources 1 Introduction 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 Creating experiments Building versus coding Pros and cons of open-source software PsychoPy and Pavlovia: An open-source funded hybrid Understanding your computer What is PsychoPy? Getting started Going further Conventions of this book X xi xii 1 1 2 4 5 5 7 8 9 9 PARTI FOR THE BEGINNER 11 2 13 Building your first experiment 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.10 3 The Builder interface Building the Stroop task Define your conditions Defining the trial structure Adding a loop to repeat trials Varying your stimuli on each trial Add some instructions Add a thank-you slide Changing your info dialog Analyze your data 13 18 18 21 26 28 31 33 33 35 Using images: A study into face perception 40 3.1 3.2 3.3 40 41 45 Accuracy versus reaction time Testing face recognition Image sizes in different units
VI © CONTENTS 3.4 3.5 3.6 4 5 6 7 8 Comparing inverted and correctly oriented faces Additional options for images Present a movie instead of an image 47 48 50 Timing and brief stimuli: Posner cueing 52 4.1 4.2 52 55 Presenting brief stimuli precisely Posner cueing Running studies online 66 5.1 5.2 5.3 5.4 5.5 5.6 68 71 74 74 75 76 Getting started online Launching your study online Using touch screen devices Debugging your study online Recruitment online Potential issues with online studies Creating dynamic stimuli (revealing text and moving stimuli) 79 6.1 What does dynamic mean and why is it useful? 6.2 Inserting code into parameters 6.3 Example 1: Revealing text gradually 6.4 Example 2: Spinning, expanding images 6.5 Example 3: Change colors through the rainbow 6.6 Example 4: Make a heart that has a pulse 6.7 Going further 79 81 82 85 87 88 90 Providing feedback: Simple code components 91 7.1 7.2 7.3 7.4 7.5 7.6 92 95 96 98 99 101 Providing feedback Updating the feedback color Reporting the reaction time Ideas for useful code snippets Reporting performance over the last five trials Using different code types Collecting survey data using forms 103 8.1 8.2 8.3 8.4 8.5 103 105 106 108 109 Setting up a form in PsychoPy Categories, Likert or continuous ratings Free text responses Adding a button to submit form answers Feedback: using responses from forms
CONTENTS · 9 Using sliders 9.1 9.2 9.3 The Müller-Lyer illusion Basic Slider settings Using sliders to grow/shrink stimuli 10 Randomizing and counterbalancing blocks of trials: A bilingual Stroop task 10.1 10.2 10.3 Blocking trials The bilingual Stroop task Build a blocked version of the Stroop task VII 112 112 114 116 119 119 120 122 11 Using the mouse for input: Creating a visual search task 133 Getting spatial responses Visual search Implementing the task Introducing the Mouse Component Control stimulus visibility from a conditions file Control stimulus positions using code Responding to mouse clicks spatially Selectively skipping a Routine Making smooth trial transitions Pointing rather than clicking 134 134 135 135 139 139 145 146 148 149 FOR THE PROFESSIONAL 151 11.1 11.2 11.3 11.4 11.5 11.6 11.7 11.8 11.9 11.10 PART II 12 Implementing research designs with randomization 12.1 12.2 12.3 How can we assign subjects to conditions or groups? Understanding loop ordering options Summary 13 Coordinates and color spaces 13.1 13.2 13.3 Coordinate systems Color spaces Phase of textures 14 Understanding your computer timing issues 14.1 14.2 14.3 14.4 Does PsychoPy have sub-millisecond precision? Understanding screen refresh rates Testing your stimulus timing Timing by screen refresh 153 154 159 166 167 167 173 175 177 178 179 182 187
VIII · CONTENTS 14.5 Images and timing 14.6 Response-time precision 14.7 Timing in online studies 188 189 190 15 Monitors and Monitor Center 193 15.1 15.2 15.3 15.4 15.5 15.6 Computer display technology Monitor Center Monitor calibration Spatial calibration Gamma correction Color calibration 16 Debugging your experiment 16.1 16.2 16.3 16.4 16.5 Warnings and alerts Errors Common mistakes without errors How to debug an experiment Writing a better query to the forum 17 Pro tips, tricks and lesser-known features 17.1 Adding a README file to your experiment 17.2 Expand or shrink the flow and routine 17.3 Copying and pasting routines and components 17.4 Online repositories for sharing your experiments 17.5 Using variables from the dia!og box in your experiment 17.6 Controlling names of your data files and folders 17.7 Running in windowed mode 17.8 Re-creating your data files 17.9 Skipping a part of your experiment 17.10 Turn tips back on 193 199 200 201 201 208 2Ю 2Ю 211 213 214 213 21® 218 219 220 221 222 223 224 225 225 226 PARTIU FOR THE SPECIALIST 227 18 Psychophysics, stimuli and staircases 229 18.1 18.2 18.3 18.4 18.5 18.6 Gratings and Gabors Smooth-edged masks (Gaussian and raised cosine) Using images as masks Element arrays Random dot kinematograms Staircase and QUEST procedures 230 232 235 235 239 242
CONTENTS · 19 Building an fMRI study 19.1 19.2 19.3 Detecting trigger pulses Non-slip timing How to calibrate a monitor for fMRI 20 Building an EEG study 20.1 20.2 20.3 20.4 20.5 What is special about EEG studies? Sending EEG triggers Communicating by parallel port or USB Sending EEG triggers by network connections Using custom libraries 21 Add eye tracking to your experiment 21.1 21.2 21.3 21.4 21.5 21.6 Eye tracking in Builder Calibration Tracking gaze position Using regions of interest Data storage via ioHub Saving image and movie stimuli to disk Appendix A Mathematics refresher A.l A.2 A.3 Sine and cosine Rescaling and changing start points Pythagoras theorem IX 249 249 253 254 257 257 258 258 260 263 264 264 268 269 270 272 273 277 277 279 280 Appendix В Exercise solutions 281 References Index 290 292
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| adam_txt |
CONTENTS Acknowledgments How to use your book Online resources 1 Introduction 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 Creating experiments Building versus coding Pros and cons of open-source software PsychoPy and Pavlovia: An open-source funded hybrid Understanding your computer What is PsychoPy? Getting started Going further Conventions of this book X xi xii 1 1 2 4 5 5 7 8 9 9 PARTI FOR THE BEGINNER 11 2 13 Building your first experiment 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.10 3 The Builder interface Building the Stroop task Define your conditions Defining the trial structure Adding a loop to repeat trials Varying your stimuli on each trial Add some instructions Add a thank-you slide Changing your info dialog Analyze your data 13 18 18 21 26 28 31 33 33 35 Using images: A study into face perception 40 3.1 3.2 3.3 40 41 45 Accuracy versus reaction time Testing face recognition Image sizes in different units
VI © CONTENTS 3.4 3.5 3.6 4 5 6 7 8 Comparing inverted and correctly oriented faces Additional options for images Present a movie instead of an image 47 48 50 Timing and brief stimuli: Posner cueing 52 4.1 4.2 52 55 Presenting brief stimuli precisely Posner cueing Running studies online 66 5.1 5.2 5.3 5.4 5.5 5.6 68 71 74 74 75 76 Getting started online Launching your study online Using touch screen devices Debugging your study online Recruitment online Potential issues with online studies Creating dynamic stimuli (revealing text and moving stimuli) 79 6.1 What does dynamic mean and why is it useful? 6.2 Inserting code into parameters 6.3 Example 1: Revealing text gradually 6.4 Example 2: Spinning, expanding images 6.5 Example 3: Change colors through the rainbow 6.6 Example 4: Make a heart that has a pulse 6.7 Going further 79 81 82 85 87 88 90 Providing feedback: Simple code components 91 7.1 7.2 7.3 7.4 7.5 7.6 92 95 96 98 99 101 Providing feedback Updating the feedback color Reporting the reaction time Ideas for useful code snippets Reporting performance over the last five trials Using different 'code types' Collecting survey data using forms 103 8.1 8.2 8.3 8.4 8.5 103 105 106 108 109 Setting up a form in PsychoPy Categories, Likert or continuous ratings Free text responses Adding a button to submit form answers Feedback: using responses from forms
CONTENTS · 9 Using sliders 9.1 9.2 9.3 The Müller-Lyer illusion Basic Slider settings Using sliders to grow/shrink stimuli 10 Randomizing and counterbalancing blocks of trials: A bilingual Stroop task 10.1 10.2 10.3 Blocking trials The bilingual Stroop task Build a blocked version of the Stroop task VII 112 112 114 116 119 119 120 122 11 Using the mouse for input: Creating a visual search task 133 Getting spatial responses Visual search Implementing the task Introducing the Mouse Component Control stimulus visibility from a conditions file Control stimulus positions using code Responding to mouse clicks spatially Selectively skipping a Routine Making smooth trial transitions Pointing rather than clicking 134 134 135 135 139 139 145 146 148 149 FOR THE PROFESSIONAL 151 11.1 11.2 11.3 11.4 11.5 11.6 11.7 11.8 11.9 11.10 PART II 12 Implementing research designs with randomization 12.1 12.2 12.3 How can we assign subjects to conditions or groups? Understanding loop ordering options Summary 13 Coordinates and color spaces 13.1 13.2 13.3 Coordinate systems Color spaces Phase of textures 14 Understanding your computer timing issues 14.1 14.2 14.3 14.4 Does PsychoPy have sub-millisecond precision? Understanding screen refresh rates Testing your stimulus timing Timing by screen refresh 153 154 159 166 167 167 173 175 177 178 179 182 187
VIII · CONTENTS 14.5 Images and timing 14.6 Response-time precision 14.7 Timing in online studies 188 189 190 15 Monitors and Monitor Center 193 15.1 15.2 15.3 15.4 15.5 15.6 Computer display technology Monitor Center Monitor calibration Spatial calibration Gamma correction Color calibration 16 Debugging your experiment 16.1 16.2 16.3 16.4 16.5 Warnings and alerts Errors Common mistakes without errors How to debug an experiment Writing a better query to the forum 17 Pro tips, tricks and lesser-known features 17.1 Adding a README file to your experiment 17.2 Expand or shrink the flow and routine 17.3 Copying and pasting routines and components 17.4 Online repositories for sharing your experiments 17.5 Using variables from the dia!og box in your experiment 17.6 Controlling names of your data files and folders 17.7 Running in windowed mode 17.8 Re-creating your data files 17.9 Skipping a part of your experiment 17.10 Turn tips back on 193 199 200 201 201 208 2Ю 2Ю 211 213 214 213 21® 218 219 220 221 222 223 224 225 225 226 PARTIU FOR THE SPECIALIST 227 18 Psychophysics, stimuli and staircases 229 18.1 18.2 18.3 18.4 18.5 18.6 Gratings and Gabors Smooth-edged masks (Gaussian and raised cosine) Using images as masks Element arrays Random dot kinematograms Staircase and QUEST procedures 230 232 235 235 239 242
CONTENTS · 19 Building an fMRI study 19.1 19.2 19.3 Detecting trigger pulses Non-slip timing How to calibrate a monitor for fMRI 20 Building an EEG study 20.1 20.2 20.3 20.4 20.5 What is special about EEG studies? Sending EEG triggers Communicating by parallel port or USB Sending EEG triggers by network connections Using custom libraries 21 Add eye tracking to your experiment 21.1 21.2 21.3 21.4 21.5 21.6 Eye tracking in Builder Calibration Tracking gaze position Using regions of interest Data storage via ioHub Saving image and movie stimuli to disk Appendix A Mathematics refresher A.l A.2 A.3 Sine and cosine Rescaling and changing start points Pythagoras' theorem IX 249 249 253 254 257 257 258 258 260 263 264 264 268 269 270 272 273 277 277 279 280 Appendix В Exercise solutions 281 References Index 290 292 |
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| spelling | Peirce, Jonathan Verfasser (DE-588)1161951555 aut Building experiments in PsychoPy Jonathan Peirce, Rebecca Hirst & Michael Macaskill 2nd edition Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne SAGE 2022 IX, 299 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this 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."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." – Susanne Quadflieg, University of Bristol PsychoPy (DE-588)1176585681 gnd rswk-swf Experimentelle Psychologie (DE-588)4016005-1 gnd rswk-swf Experimentelle Psychologie (DE-588)4016005-1 s PsychoPy (DE-588)1176585681 s DE-604 Hirst, Rebecca Verfasser (DE-588)1252805136 aut MacAskill, Michael Verfasser (DE-588)1163323578 aut Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033065673&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Building experiments in PsychoPy |
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| title_full | Building experiments in PsychoPy Jonathan Peirce, Rebecca Hirst & Michael Macaskill |
| title_fullStr | Building experiments in PsychoPy Jonathan Peirce, Rebecca Hirst & Michael Macaskill |
| title_full_unstemmed | Building experiments in PsychoPy Jonathan Peirce, Rebecca Hirst & Michael Macaskill |
| title_short | Building experiments in PsychoPy |
| title_sort | building experiments in psychopy |
| topic | PsychoPy (DE-588)1176585681 gnd Experimentelle Psychologie (DE-588)4016005-1 gnd |
| topic_facet | PsychoPy Experimentelle Psychologie |
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