In this micro lecture the following items will be explained regarding this lecture:

• Reducing a set of (survey) items to a limited set of factors or dimensions

• Extraction of factors
• Communality of items
• Eigenvalue of facotra
• Selecting the number of factors using Kaiser's criterion