From the course: Introduction to jamovi

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Correlation matrix

Correlation matrix - jamovi Tutorial

From the course: Introduction to jamovi

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Correlation matrix

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- [Instructor] Perhaps the simplest way of looking at the association between variables is with the correlation coefficient, specifically the Pearson Product Moment Correlation Coefficient, usually just called R. It's a great way of looking at the association between two quantitative or continuous variables, although it's actually much more flexible than that. And I want to take a moment to show you how we can do correlations and correlation matrices and scatter plot matrices in Jamovi. Now to do this, I'm bringing in a new dataset, and it's called state data. And it's based on a little bit of information that I've compiled from different sources. One is the name of the state, its code, the region it's from. I looked up whether their current governor is Republican or Democrat. From a few years ago, a study done on categorizing states by their personality characteristics, putting them as temperamental or friendly and relaxed or traditional. Another study that classified these states by…

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