Efnisyfirlit

• Acknowledgments
• How to use your book
• Online resources
• 1 Introduction
  • 1.1 Creating experiments
  • 1.2 Building versus coding
  • 1.3 Pros and cons of open-source software
  • 1.4 PsychoPy and Pavlovia: An open-source funded hybrid
  • 1.5 Understanding your computer
  • 1.6 What is PsychoPy?
  • 1.7 Getting started
  • 1.8 Going further
  • 1.9 Conventions of this book
• PART I FOR THE BEGINNER
  • 2 Building your first experiment
    • 2.1 The Builder interface
    • 2.2 Building the Stroop task
    • 2.3 Define your conditions
    • 2.4 Defining the trial structure
    • 2.5 Adding a loop to repeat trials
    • 2.6 Varying your stimuli on each trial
    • 2.7 Add some instructions
    • 2.8 Add a thank-you slide
    • 2.9 Changing your info dialog
    • 2.10 Analyze your data
  • 3 Using images: A study into face perception
    • 3.1 Accuracy versus reaction time
    • 3.2 Testing face recognition
    • 3.3 Image sizes in different units
    • 3.4 Comparing inverted and correctly oriented faces
    • 3.5 Additional options for images
    • 3.6 Present a movie instead of an image
  • 4 Timing and brief stimuli: Posner cueing
    • 4.1 Presenting brief stimuli precisely
    • 4.2 Posner cueing
  • 5 Running studies online
    • 5.1 Getting started online
    • 5.2 Launching your study online
    • 5.3 Using touch screen devices
    • 5.4 Debugging your study online
    • 5.5 Recruitment online
    • 5.6 Potential issues with online studies
  • 6 Creating dynamic stimuli (revealing text and moving stimuli)
    • 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
  • 7 Providing feedback: Simple code components
    • 7.1 Providing feedback
    • 7.2 Updating the feedback color
    • 7.3 Reporting the reaction time
    • 7.4 Ideas for useful code snippets
    • 7.5 Reporting performance over the last five trials
    • 7.6 Using different ‘code types’
  • 8 Collecting survey data using forms
    • 8.1 Setting up a form in PsychoPy
    • 8.2 Categories, Likert or continuous ratings
    • 8.3 Free text responses
    • 8.4 Adding a button to submit form answers
    • 8.5 Feedback: using responses from forms
  • 9 Using sliders
    • 9.1 The Müller–Lyer illusion
    • 9.2 Basic Slider settings
    • 9.3 Using sliders to grow/shrink stimuli
  • 10 Randomizing and counterbalancing blocks of trials: A bilingual Stroop task
    • 10.1 Blocking trials
    • 10.2 The bilingual Stroop task
    • 10.3 Build a blocked version of the Stroop task
  • 11 Using the mouse for input: Creating a visual search task
    • 11.1 Getting spatial responses
    • 11.2 Visual search
    • 11.3 Implementing the task
    • 11.4 Introducing the Mouse Component
    • 11.5 Control stimulus visibility from a conditions file
    • 11.6 Control stimulus positions using code
    • 11.7 Responding to mouse clicks spatially
    • 11.8 Selectively skipping a Routine
    • 11.9 Making smooth trial transitions
    • 11.10 Pointing rather than clicking
• PART II FOR THE PROFESSIONAL
  • 12 Implementing research designs with randomization
    • 12.1 How can we assign subjects to conditions or groups?
    • 12.2 Understanding loop ordering options
    • 12.3 Summary
  • 13 Coordinates and color spaces
    • 13.1 Coordinate systems
    • 13.2 Color spaces
    • 13.3 Phase of textures
  • 14 Understanding your computer timing issues
    • 14.1 Does PsychoPy have sub-millisecond precision?
    • 14.2 Understanding screen refresh rates
    • 14.3 Testing your stimulus timing
    • 14.4 Timing by screen refresh
    • 14.5 Images and timing
    • 14.6 Response-time precision
    • 14.7 Timing in online studies
  • 15 Monitors and Monitor Center
    • 15.1 Computer display technology
    • 15.2 Monitor Center
    • 15.3 Monitor calibration
    • 15.4 Spatial calibration
    • 15.5 Gamma correction
    • 15.6 Color calibration
  • 16 Debugging your experiment
    • 16.1 Warnings and alerts
    • 16.2 Errors
    • 16.3 Common mistakes without errors
    • 16.4 How to debug an experiment
    • 16.5 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 dialog 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
• PART III FOR THE SPECIALIST
  • 18 Psychophysics, stimuli and staircases
    • 18.1 Gratings and Gabors
    • 18.2 Smooth-edged masks (Gaussian and raised cosine)
    • 18.3 Using images as masks
    • 18.4 Element arrays
    • 18.5 Random dot kinematograms
    • 18.6 Staircase and quest procedures
  • 19 Building an fMRI study
    • 19.1 Detecting trigger pulses
    • 19.2 Non-slip timing
    • 19.3 How to calibrate a monitor for fMRI
  • 20 Building an EEG study
    • 20.1 What is special about eeg studies?
    • 20.2 Sending EEG triggers
    • 20.3 Communicating by parallel port or usb
    • 20.4 Sending EEG triggers by network connections
    • 20.5 Using custom libraries
  • 21 Add eye tracking to your experiment
    • 21.1 Eye tracking in Builder
    • 21.2 Calibration
    • 21.3 Tracking gaze position
    • 21.4 Using regions of interest
    • 21.5 Data storage via ioHub
    • 21.6 Saving image and movie stimuli to disk
• Appendix A Mathematics refresher
  • A.1 Sine and cosine
  • A.2 Rescaling and changing start points
  • A.3 Pythagoras’ theorem
• Appendix B Exercise solutions
• References
• Index

UM RAFBÆKUR Á HEIMKAUP.IS

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