This blogpost provides an overview of the JASP tutorials available on YouTube. We will discuss the available tutorials and highlight some of the videos.
First, the video’s by Erin Buchanan, professor in Cognitive Analytics at Harrisburg University of Science and Technology. Erin Buchanan owns the YouTube page ‘Statistics of DOOM’. The channel contains video tutorials for different statistical programs as G*Power, R, and, of course, JASP. The JASP tutorials are from 2016, based on JASP version 7.1.12, and 2017, based on JASP version 0.8. The tutorials cover a wide range of frequentist analyses, as t-tests and Exploratory Factor Analysis.
Another JASP YouTuber is Tom Faulkenberry, Associate Professor and Assistant Head in the Department of Psychological Sciences at Tarleton State University in Stephenville and co-author of the book ‘Learning Statistics with JASP’. On his YouTube channel there are three JASP tutorials from 2015. The videos illustrate the use of basic JASP features and analysis, as loading data and correlations.
The YouTube channel Lindenloot by Lotje van der Linden contains JASP videos in English and French. The tutorials in French are based on version 0.7.5, and the tutorials in English on version 0.8.5.1 and higher. The tutorials show how to open a data file in JASP and the use of frequentist analyses as t-tests and ANOVA’s.
Alexander Swan is an Assistant Professor of Psychology at Eureka College in Eureka. On his YouTube channel there are 13 JASP tutorial videos. In these videos, he shows the working of JASP 0.10.0 and higher. The tutorials range from basic skills, as opening datasets, to frequentist analyses, as Repeated Measures ANOVA.
Changya Hu is a Distinguished Professor at the National Chengchi University in the Department of Business Administration. She translated several JASP modules into Traditional Chinese (e.g., SEM). On her YouTube channel, there are more than 50 JASP tutorial videos in Traditional Chinese. In these videos, she shows the working of JASP 0.14.0 and higher. The tutorials range from basic skills (e.g., opening datasets, importing data from google sheet), univariate analyses (e.g., descriptives, t-test, ANOVA, Chi-square test of independence), psychometrics analyses (e.g., reliability, factor analyses), regression analyses (e.g., multiple regression, logistics regression) to advanced analyses (e.g. path analysis, mediation, moderation, structural equation modeling, clustering, decision tree).
Finally, there is our own YouTube channel JASP Statistics. Our channel contains three playlists: “How to Use JASP”, “Classical Analyses in JASP”, and “Bayesian Analysis in JASP”. The Baysian tutorials are based on JASP version 0.7.5, while the classical analyses tutorials are based on version 0.8.5 and the general skills on 0.8.1. We hope to create more Bayesian tutorials in the future. For an overview of our tutorials and other helpful materials we refer to our “How to Use JASP” page.
Besides the highlighted YouTube channels, there are some channels with a few JASP tutorials. The table below provides an overview of all the JASP YouTube tutorials. Do you know other great JASP tutorials on YouTube? Or are you a JASP YouTuber yourself? Let us know!
YouTube Channel | Year | JASP version | Topics Introduction to JASP | Frequentist Analyses | Bayesian Analyses | Additional Information |
Alexander Swan | ||||||
Bang Anom Channel | ||||||
C Annand | ||||||
Changyahu | ||||||
Communication professor | ||||||
Comprehensive Statistics Guides | ||||||
DammCourse | ||||||
Data Science 4 Marketing & Business | ||||||
David Zatz | ||||||
FA CV | ||||||
Guillermo Campitelli | ||||||
Headlessprofessor | ||||||
JASP Statistics | ||||||
Joel Frederickson | ||||||
Kim Dienst | ||||||
Lindenloot | ||||||
Pato Mena | ||||||
Professor Endler Marcel Borges | ||||||
Regorz Statistik | ||||||
Rene Nob | 0.7.1.11 – 0.7.1.12 | |||||
Research By Design | 0.11.1 – 0.12 | |||||
Research & Publication | 0.9.2 – 0.11 | |||||
Sacha Epskamp | ||||||
Social and Behavioral Sciences at Bethel Univ. | ||||||
Statistics of DOOM | ||||||
StatsHilfe | ||||||
Thomas Langkamp | ||||||
Tom Faulkenberry | ||||||
Zach Basehore |