Say I asked 1000 people to evaluate 10 items about one product. The data looks like
ID item1 item2 …item10 1 2 3…..
After running an explorative factor analysis, there will be for example 3 factors created, fac_1, fac_2, fac_3.
ID item1 item2 .. item10 fac_1 fac_2 fac_3 1 -.5 2 3 2 1 -.8 -.2 3 -.3 -.1 -.5
I have the impression that in the books, the capital always ends here. Yes I am clear now that there are 3 hidden structures behind my 10 items, how should I evaluate my product in this three structures (aggregate level)? How much score does my product get in this three factors?
I would like to know: How much scores my products get in this three sturctures(aggregate level), for example,
in Fac_1 score 1.2 in Fac_2 score 0.5 in Fac_3 score -0.9
How can I calculate this kind of score? Any suggestion?
What confuses me is: I have 1000*3 factor scores, what should I do next? The main question is: How does my product performs in this three factors? What should I calculate?