I have 100 participants answering an aesthetic scale ( 8 items in the scale) in my data. The question is "rate the following statements from 1= strongly disagree to 7= strongly agree". I copied 2 statements from my scale below.

*1/Owning products that have superior designs makes me feel good about myself*

2/I enjoy seeing displays of products that have superior designs

2/I enjoy seeing displays of products that have superior designs

I have never done a factor analysis before but I learned the steps in class. However, my results are funny.

Analyze - Dimension Reduction - Factor.

Included 8 items in the scale.

Extraction using the principles component method.

My problem is when I conduct a factor analysis I only get 1 component which has an eigen value bigger than 1. Therefore, no rotations etc. I looked at several examples online and also an in-class example (12 items scale) that got more than at least 3. I am feeling there is something wrong but not sure what it is. Can we get 1 component in Factor Analysis. If yes, what does it mean? if no, what am I doing wrong, how do I fix it?

I hope someone can explain this to me. Really need some help.

Thanks so much for your time,

Ege