From the course: R Essential Training Part 2: Modeling Data
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Conducting a confirmatory factor analysis
From the course: R Essential Training Part 2: Modeling Data
Conducting a confirmatory factor analysis
- [Narrator] I want to finish our discussion of preparing data for analysis by giving you a very quick overview of a sophisticated and important procedure, confirmatory factor analysis or CFA. To do this, I'm going to be using a new package, and that is called lavoon, which is a portmanteau for latent variable analysis. And it's the probably most common package in R for doing both confirmatory factor analysis and structural equation modeling or SEM. Let me load these packages here. And then I'm going to come down and I'm going to use the same B five data set. This is the big five personality factors. And what we have there are 50 different variables that are designed to fall into five groups or factors that measure these large scale personality attributes, extraversion, openness to experience agreeableness, and so on. I going to save that data to df, and then we're going to just check the variable names. And what you…
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Contents
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Computing frequencies4m 54s
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Computing descriptive statistics9m 42s
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Computing correlations6m 32s
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Creating contingency tables5m 35s
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Conducting a principal component analysis13m
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Conducting an item analysis17m 23s
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Conducting a confirmatory factor analysis5m 50s
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