I have 5 IV's and 1 DV.

I'm trying to find how much each IV influences the DV.

I run 5 ANCOVA's. In each of them I have one of the IV's as an IV, and the other 4 IV's as covariates b/c the 5 IV's are all closely related and research shows they can be/they are covariates..

So the IV's are not always IV's.

I understand that theoretically the model of the ANCOVA should be the same whether they are covariats or not.

Here are the results of two of the ANCOVA's. In the first one, for example, the actual IV, C_Fih_Total has a different F and Sig value then the second analysis, in which it is a covariate.

Researchers often cite doing an ANCOVA like this.. That amongst these 5 "IV's" researchers take 1 of the 5 variables as an IV while controlling for the other 4. They report 1 F and Sig value.

However, as can be seen from the chart below, these numbers change. So I was a bit worried that I was doing something wrong. But I guess it is OK that the F and sig value are different and that you only report the F and sig value for the actual IV, i.ie, the bottom variable in each analysis?

I really don't care about reporting the effect or F or Sig value of the covariates (B/c research doesn't). or should I be ?

So for example in citing the result of an ancova I can say that C_Fih_Total is related to PAR (F=2,67, p=,002) while controlling for cinsiyet, C_Dis_Total, C_Dih_Total, C_Fis_Total, and C_Cis_Total. Even though in the second analysis C_Fih_Total has a F and p value that is different?