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Create your first paradigm
Python
We will create a very simple and basic experiment that will be the stepping stone for some of the future tutorials. In the future tutorials we will show you how to extend…
 
Starting with PsychoPy
Setup
Python
PsychoPy is an open-source software package written in the Python programming language primarily for use in neuroscience and experimental psychology research. It’s one of…

Starting with Python
Setup
Python
Python is one of the most popular programming languages in general. In data science, it competes with Matlab and R for first place on the podium.

Create an eye-tracking experiment
Eye-tracking
Python
This page will show you how to collect eye-tracking data in a simple Psychopy paradigm. We will use the same paradigm that we built together in the Getting started with…
 
Calibrating eye-tracking
Eye-tracking
Python
Before running an eye-tracking study, we usually need to do a calibration. What is a calibration you ask??

From fixations to measures
Eye-tracking
Python
In the previous two tutorials we collected some eye-tracking data and then we used I2MC to extract the fixations from that data. Let’s load the data we recorded and…
 
Using I2MC for robust fixation extraction
Eye-tracking
Python
When it comes to eye-tracking data, a fundamental role is played by fixations. A fixation indicates that a person’s eyes are looking at a particular point of interest for a…

Introduction to eye-tracking
Eye-tracking
Theory
Eye tracking is a great tool to study cognition. It is especially suitable for developmental studies, as infants and young children might have advanced cognitive abilities…
 
Interpreting Model Results
In the previous tutorial we run our first model and we checked whether the model met the assumptions. You have to agree it was easy and fun! Now the real challenge begins.
Tommaso Ghilardi
 
Linear Models
Stats
R
linear models
Welcome to the first tutorial on data analysis!!! Today we are going to talk about one of the most flexible statistical methods: Linear models.
 
Linear mixed effect modesl
Welcome to this introduction to Linear Mixed-effects Models (LMM)!! In this tutorial we will use R to run some simple LMM and we will try to understand together how to…
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