Exercise

# Analyze Text Speed Model

Let's analyze your text speed model from the first lesson. This model included one latent variable, `textspeed`

, represented by six manifest variables. Variables `x4`

, `x5`

, `x6`

measured reading comprehension, and `x7`

, `x8`

, and `x9`

measured speed counting and addition from the `HolzingerSwineford1939`

dataset.

We will use the `cfa()`

function to analyze `text.model`

using the data from `HolzingerSwineford1939`

. Our summary should indicate the model was identified with 9 degrees of freedom. You should examine the latent variable estimates to determine which items measure the latent variable well (high scores) and which do not (low scores).

Instructions

**100 XP**

- Use the
`cfa()`

function to fit a model called`text.fit`

. Remember to include both model and data arguments! - Use the
`summary()`

function to view the model fit.