tl;dr
introduces a free online introductory course on jamovi that includes 52 videos – over 4.5 hours of instruction – that cover every aspect of jamovi’s base installation, from download and setup to data exploration and visualization to scale analysis and predictive modeling
When I learned about jamovi earlier this year, I knew I found something that could revolutionize data analysis for my students, my collaborators, and myself. Compared to SPSS, the most common choice in the social sciences, jamovi is easier, cleaner, more reliable, more powerful, more portable, and, of course, more affordable. Compared to R, one of the primary tools of data scientists, jamovi is more human-friendly, more interpretable, and better suited for exploratory and iterative analysis. jamovi has quickly become my go-to tool for analysis.
And while jamovi is shockingly easy to use, many people feel more comfortable having something to guide them through new software and new functions. I felt that this was a way I could show my thanks to the jamovi community and help introduce others to jamovi’s goodness.
Four years ago, I founded datalab.cc with the goal of helping non-technical people – students, researchers, nonprofit volunteers, and small business owners, among others – reach their goals through data-driven decision-making. We do this through free, open-source, online videos, which are available both at datalab.cc and at our YouTube channel. We have already created video courses on SPSS, R, Google Sheets, the visualization tool RAW, the online form tool Typeform, and the principles of data science. And now we’re proud to share a complete introductory course on jamovi!
This course includes 52 videos – over 4.5 hours of instruction – that cover every aspect of jamovi’s base installation, from download and setup to data exploration and visualization to scale analysis and predictive modeling. These videos are designed to complement training on statistical principles. For example, the videos demonstrate how to perform a multiple regression analysis or a confirmatory factor analysis in jamovi but do not go into depth on the assumptions and interpretation of each procedure. (This is the same approach that is used in datalab.cc’s other tool-focused courses like R and SPSS.)
We would love to see people use these videos to develop their own analytical skills, to teach students the elements of data-based reasoning, and to collaborate with others. We invite you to mix and match the videos to suit your purpose and to contact us at hello@datalab.cc to let us know what else we can do to make jamovi and data easier and more accessible.
As a final note, jamovi is in active development and so we will update the videos as new features and functions become available. We also plan on doing a second series in the near future on jamovi’s modules and the additional power they give.
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