I'd like to get your opinions on how to interpret items that had to be eliminated in factor analysis (FA).
I've been researching consumer shopping motivations and ran a survey with 40 items, which included statements from previous research in the field (there is no developed go-to scale). I expected items would be reduced to 10-12 variables. I ran FA in SPSS (extraction method - principal components) and after all items with low factor loadings and communalities were eliminated, I was left with 25 items and 6 underlying variables (criteria for the Number of factors: eigenvalue>1).
Now, what conclusion can I make about statements which dropped-out? Are these (eliminated) motivations not valid for the consumers I ran the survey with?
Thanks a lot on your thoughts!