Factor analysis of parcels: part 1

Where we left off, I had created some parcels and was going to do a factor analysis later. Now, it’s later. If you’ll recall, I had not find any items that correlated significantly with the food item that also made sense conceptually. For example, it correlated highly with attending church services but that didn’t really have any theoretical basis. So, I left it as a single variable. Here is my first factor analysis.
``` proc factor data= parcels rotate= varimax scree ; Var socialp1 – socialp3 languagep spiritualp spiritual2 culturep1 culturep2  food; ```
You can see from the scree plot here that there is one factor way at the top of the chart with the rest scattered at the bottom. Although the minimum eigen value of 1 criterion would have you retain two factors, I think that is too many, for both logical and statistical reasons.  The eigenvalues of the first two factors, by the way, were 4.74 and 1.10 .

Even if you aren’t really into statistics or factor analysis, I hope that this pattern is pretty clear. You can see that every single thing except for the item related to food loads predominantly on the first factor.