OpenSesame Tutorial – How to Create a Flanker Task

In this post you are going to learn how to create a simple experiment using the free experiment building software OpenSesame. As I have previously written about, OpenSesame, is an application, based on Python, for creating Psychology, Neuroscience, and Economics experiments. It offers a nice and easy to use interface.  In this interface you can […]

Python Video Tutorial: Creating a Flanker Task using Expyriment

In this video you learn how to create a Flanker task using the Python package Expyriment. If you don’t know Expyriment it is an open-source library. You can program your experiments and run on Linux, Windows, and OS-x computers as well as on Android devices. In the tutorial you will get familiar with Expyriment and […]

Exploring response time distributions using Python

Inspired by my post for the JEPS Bulletin (Python programming in Psychology), where I try to show how Python can be used from collecting to analyzing and visualizing data, I have started to learn more data exploring techniques for Psychology experiments (e.g., response time and accuracy). Here are some methods, using Python, for visualization of […]

E-prime how-to: save data to csv-file using InLine scripts

In this post I will describe, shortly, how to use InLine scripts in E-prime to save your data in comma-separated values (CSV) files. For those who are not familiar with E-prime it is an experiment generating software based on visual basic (i.e., it has its own scripting language called e-basic). Its main purpose is to […]

PsychoPy video tutorials

PsychoPy, as I have previously written about (e.g., Free and Useful Software and PsychoPy tutorial) is really a great Python tool for creating Psychology experiments. You can write Python code by either using  “code view” or import the package in your favourite IDE.  Furthermore, you can use the builder mode and just drag and drop different […]

Descriptive Statistics using Python

Descriptive Statistics After data collection, most Psychology researchers use different ways to summarise the data. In this tutorial we will learn how to do descriptive statistics in Python. Python, being a programming language, enables us  many ways to carry out descriptive statistics. One useful library for data manipulation and summary statistics is Pandas.  Actually, Pandas […]

R resources for Psychologists

Good resources for learning R as a Psychologist are hard to find. By that I mean that there are so many great sites and blogs around the internet to learn R. Thus, it may be hard to find learning resources that targets Psychology researchers. Recently I wrote about 4 good R books targeted for Psychology […]

R books for Psychologists

R is a free and open-source statistical programming environment. Being open-source and free it has a large and helpful online community (for instance, see StackOverflow).  When I went from carrying out analysis in SPSS to do them in R, I searched for good books targeted to Psychologists.   The following 4 R books are useful and […]

Papaja – APA manuscripts made easy

Do you also find it time-consuming to make your manuscripts follow American Psychological Associations (APA) guidelines? Have you searched the internet for a good .docx/.doc APA template? After reading this post, you might not have to search any more. Papaja is an r-package that makes your manuscript conform to APA guidelines! In this post I […]

Some good Python Blogs and Resources

In this post you will find some really good Python Blogs and Resources. Most of these really helped me when moving from proprietary software to free and Open Source software (e.g., PsychoPy written in Python).  The links are divided into two categories: general and research. In the ‘general’ category you will find good Python resources […]