To complete this unit you need to
- Watch the video lectures
- Read the materials for the written assignment 6 (mandatory)
- Complete the unit 7 discussion forum task
- Return written assignment 6 (mandatory)
- View the model answer for written assignment 6 and instructors comment's to written assignment 6 (mandatory)
- Participate in the seminar (optional)
- Participate in the computer class (optional)
- Submit data analysis assignment 3 (optional)
- Submit Reflection and feedback for unit 7
The unit continues from the previous unit by introducing confirmatory factor analysis (CFA), structural regression models, and some of their post-estimation tools. In the seminar, we discuss also conceptualization and scale development processes. After this unit, you should:
- Understand the difference between exploratory and confirmatory factor analysis.
- Have a basic understanding of the workflow for a confirmatory factor analysis.
- Know what the chi2 statistic in a CFA tests, know why it is the most important statistics that the analysis provides, and have a basic understanding of what to do when the chi2 test rejects the model (which it often does).
- Know the basic idea of structural regression models. (This analysis technique is a bit more advanced and it is not addressed on the course in detail, but it is useful to know the basic idea because the technique is widely used.)
- Know why the idea of "formative measurement" is problematic.
- Know when and why indices constructed from non-scale variables can be useful and how such indices can be justified.
- Understand the importance of conceptualization as a first step in measurement development and have a basic understanding of a commonly used scale development procedure. (This is not covered in the videos, but will be discussed in the seminar.)