From the course: Introduction to jamovi
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Ordinal logistic regression - jamovi Tutorial
From the course: Introduction to jamovi
Ordinal logistic regression
- [Instructor] One final variation of regression that we can get in jamovi, that really is kind of surprising considering it's not always available in other programs, is ordinal regression, or specifically, ordinal logistic regression. And the idea here is you're trying to take several variables to predict where a particular case falls in ordered categories, say for instance from lowest, to middle, to highest. Now, you could theoretically have an entire ordinal scale where you rank every case from one to however many there are. But when you have a small number of cases, this is where ordinal logistic regression is going to be most useful. And another time that it shows up as really handy is when you have data that really deviates from normality. Now I'm going to use this example data of state data that I uploaded, and we have, among other things, how much different states search for different things, and one that's kind of interesting here at the very end is searching for modern…
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Regression: Chapter overview2m 8s
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Correlation matrix7m 31s
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Linear regression6m 14s
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Variable entry7m 15s
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Regression diagnostics6m 20s
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Binomial logistic regression9m
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Multinomial logistic regression8m 48s
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Ordinal logistic regression8m 16s
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