From the course: Introduction to jamovi
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Reliability analysis - jamovi Tutorial
From the course: Introduction to jamovi
Reliability analysis
- [Narrator] In design, you'll hear the saying less is more, and the same thing is true, to a certain extent, in data analysis. Instead of trying to analyze 50 different variables, why don't you collapse them into a smaller number of more manageable variables? That's going to give you more reliable information and more stable insight. But in order to do this, you need to first establish that you can collapse the data, that there are correlations, that you're trying to combine like with like. And the most common way of doing this is with a reliability analysis, which looks at the relationship of several variables that you would like to combine. This is very common if you're working with survey data and you're asking several questions about the same general concept or construct. In this dataset, which is based on real data on the big five personality factors, and we've talked about those before, because Jamovi has a built-in dataset, but it had this summary data, or rather it was…
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