I en tidigare bloggpost undersökte vi reliabilitet och validitet generellt inom kognitionsvetenskapen. I denna post kommer vi rikta vår uppmärksamhet mot ett specifikt begrepp- extern validitet. Vi kommer kort förklara vad denna typ av validitet innebär och hur detta begrepp används i den övergripande vetenskapliga processen. Låt oss nu fördjupa oss i i denna typ […]
Extern Validitet: Vad det är – Definition och Exempel Read More »
Upptäck grunderna i validitet och reliabilitet inom kognitionsvetenskap. Utforska olika typer, tillämpningar och övervinn utmaningar för att säkerställa pålitliga forskningsresultat.
Validitet och Reliabilitet i Kognitionsvetenskap: Teori och Exempel Read More »
Upptäck hur man gör deskriptiva analyser i denna bloggpost. Från centralmått till verktyg som Jamovi och R, vår steg-för-steg guide hjälper dig navigera genom beskrivande statistik.
Deskriptiva Analyser: Exempel med Jamovi och R Statistik Read More »
In this post, you will learn how to report correlation according to APA. Adhering to APA (American Psychological Association) guidelines is crucial when reporting correlation analysis in academic research. Whether you are conducting research in psychology, cognitive hearing science, or cognitive science, APA style is often required by journals and conferences. This post will provide
Report Correlation in APA Style using R: Text & Tables Read More »
In this post, you will learn how to create a Psychomotor vigilance task in PsychoPy using the Builder GUI and some Python code.
Psychomotor Vigilance Task (PVT) in PsychoPy (Free Download) Read More »
In this post, we will learn how to calculate summary statistics in R. Specifically, we will learn how to calculate the standard deviation, mean (trimmed, harmonic, geometric), variance, IQR, quantiles. etc. We will learn how to save the summary statistics as latex (so we can output it to a nice table in a PDF, for instance), and how to save it as a csv file.
How to Calculate Descriptive Statistics in R the Easy Way with dplyr Read More »
In this OpenSesame tutorial,l we will learn how to use images as stimuli and how to load the trials, including filenames, correct responses, and conditions, from a pre-generated CSV file. To follow this tutorial, you don’t need to know Python programming. However, we will generate the CSV file using a short Python script. This can
OpenSesame Tutorial: How to use Image Stimuli Read More »
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 drag and
OpenSesame Tutorial – How to Create a Flanker Task 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 »
