1. What are the differences between the objectives of data summarization and data reduction?

2. How can factor analysis help the researcher improve the results of other multivariate techniques?

3. What guidelines can you use to determine the number of factors to extract? Explain each briefly.

4. How do you use the factor-loading matrix to interpret the meaning of factors?

5. How and when should you use factor scores in conjunction with other multivariate statistical techniques?

6. What are the differences between factor scores and summated scales? When is each most appropriate?

7. What is the difference between Q-type factor analysis and cluster analysis?

8. When would the researcher use an oblique rotation instead of an orthogonal rotation? What are the basic differences between them?