Exercise

# Interpreting the scree plot

A commonly used criterion for selecting the optimal number of factors is to only consider factors with eigenvalues greater than 1. `scree()`

includes a solid horizontal line at 1 on the y-axis to help you quickly interpret your results. Run the code below to recreate the scree plot from the `bfi_EFA`

data you created in the previous exercise. Based on the results, how many factors are recommended?

```
# Calculate the correlation matrix
bfi_EFA_cor <- cor(bfi_EFA, use = "pairwise.complete.obs")
# Use the correlation matrix to create the scree plot
scree(bfi_EFA_cor, factors = FALSE)
```

Instructions

### Possible answers

3 factors

4 factors

5 factors

6 factors