In this category you will find posts that are related to programming and should be interesting for psychologists, cognitive scientists, and neuroscientists. Well, almost every researcher would probably find some of the information useful at some time!
Every research psychologist, cognitive scientist, and neuroscientist, should know how to program.. Knowing how to program and write scripts will make many of a researchers everyday tasks much easier. For instance, instead of going through line after line of raw data you can write a Python script that runs through each cell in each column. Furthermore, you get the possibility to use more advanced, and cutting edge, statistical techniques by using R statistical programming environment.
Another example might be to create experiments using PsychoPy (either by coding using Python or using the drag-and-drop interface) and the cheap and open-source Arduino microcontroller. Also, coding is fun and relaxing!
One of the great things with programming is that you can automate things that is boring. For instance, as a student I often got schedules in the form of Word documents. I prefer to have all my activities in a digital calendar and used to manually enter every class, seminar, and so on from a […]
How to use Python to create an iCalendar file from a Word table Read More »
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 and Android devices. In the tutorial you will get familiar with Expyriment and get to create
Python Video Tutorial: Creating a Flanker Task using Expyriment Read More »
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
Exploring response time distributions using Python Read More »
Python is gaining popularity in many fields of science. This means that there also are many applications and libraries specifically for use in Psychological research. For instance, there are Python packages for collecting data, doing basic statistics, and analyzing brain imaging data. In this post, I have collected some useful Python packages for researchers within
Best Python libraries for Psychology researchers Read More »
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
E-prime how-to: save data to csv-file using InLine scripts Read More »
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 importing the package in your favorite IDE. Furthermore, you can use the builder mode and just drag and drop different
PsychoPy video tutorials Read More »
Previously I have shown how to analyze data collected using within-subjects designs using rpy2 (i.e., R from within Python) and Pyvttbl. In this post I will extend it into a factorial ANOVA using Python (i.e., Pyvttbl). In fact, we are going to carry out a Two-way ANOVA but the same method will enable you to
Two-way ANOVA for repeated measures using Python Read More »
In an earlier post, I showed four different techniques that enable a one-way analysis of variance (ANOVA) using Python. Now, in this Python data analysis tutorial, we are going to learn how to do two-way ANOVA for independent measures using Python. First, we are going to learn how to calculate the ANOVA table “by hand”.
Three ways to do a two-way ANOVA with Python Read More »
In this Python data analysis tutorial, we will focus on how to carry out between-subjects ANOVA in Python. As mentioned in an earlier post (Repeated measures ANOVA with Python) ANOVAs are commonly used in Psychology. We start with a brief introduction to the theory of ANOVA. If you are more interested in the four methods
Four Ways to Conduct One-Way ANOVA with Python Read More »
In this post, you will learn how to carry out a repeated measures ANOVA in Python. A standard method in experimental psychology is within-subjects designs. One way to analysis the data collected using within-subjects designs is using repeated measures ANOVA. I recently wrote a post on how to conduct a repeated measures ANOVA using Python
Repeated measures ANOVA using Python Read More »