From the course: Complete Guide to R: Wrangling, Visualizing, and Modeling Data

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Conducting an item analysis

Conducting an item analysis

From the course: Complete Guide to R: Wrangling, Visualizing, and Modeling Data

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Conducting an item analysis

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- [Instructor] Principle components analysis and factor analysis can give you an idea of how you could combine your data to get larger factor scores, which help cancel out some of the extraneous noise in your data, but sometimes you need to get a closer look at the things that you're thinking of putting back together and an item analysis can help you with that. Now, to do this, I'm going to be loading a few packages including GPA rotation and psych, and I'm going to be using the big five or B5 dataset. Again, this is about 20,000 observations of people responding on a one to five agreement scale on 50 different variables, which are designed to fall into 10 different groups measuring large personality factors. They are extroversion and agreeableness and neuroticism and openness to experience and conscientiousness. And we want to see how well we can combine these or whether there's any refining that's necessary. Now to do this, I'm going to start by taking the dataset B5.CSV and loading…

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