5.1 Lecture

This week we continue with CFA by building upon the more conceptual foundations that we established last week. In particular this week’s lecture will address three questions.

1. How do we estimate CFA models?
2. How can we judge the quality of an estimated CFA model?
3. How does model identification work for models that are not “just identified”?

5.1.1 Recordings

Model Estimation

Model Fit Concepts

\(\chi^2\) Statistic

Approximate Fit Indices

Model Fit Example

More Model Identification

Scaling for Over-Identified Models

The following recording uses an older version of the lecture slides. So, the slide numbers and titles won’t match the current slide deck. All the actual slide content should be the same, though.

Example Analysis

5.1.2 Slides

You can download the lecture slides here.