I have a couple of FA questions for my thesis..if anyone is able to offer some guidance it would really be appreciated.
My research is looking at the prevalence of depression in a specific group of parents, and the factors that are related to whether the parents are depressed or not. It is hypothesised that certain factors like attachment to their child, spousal support, whether their expectations of parenthood are met, and their social support (amongst others) will all impact on depression levels.
I have managed to measure depression levels via a realiable and valid scale that is well researched.
However, the attachment and parental expectations scales have previously only been used with another very different parent population, therefore I believe that I need to check the factor loadings etc when they are used on my parent population before utilising them in the study.
Here is my problem....
Because my particular parent population is quite restricted, I have only managed to gain 50 participants (with no chance of any more due to timeframes). Is it possible to factor analyse scales with such a small population? The attachment scale is exactly the same as the one that was previously used on a different parent population, but the expectations scale has had some items removed and some added in order to make it appropriate for my participant group.
When I try to run the factor analysis I am getting 10 factors on the expectations scale (I was expecting 4) and 8 on the attachment scale (was expecting 3 or 4). Could this be due to small sample size? Is there any way around this?
Any help would be greatly appreciated!