I have some questions about unique variance and hope some of you can help.
For instance, let say I have 3 predictors and 1 dependent variable (DV).
I ran a regression analysis with a sequence of 3 regression models using:
- Predictor A
- Predictor A + Predictor B
- Predictor A + Predictor B + Predictor C
I want to find out whether Predictor A explains the unique variance in the DV.
Assuming Model 1 shows significant contribution to the DV, and after adding Model 2 and Model 3, it still shows significant contribution to the DV.
Does this mean that Predictor A does explain the unique variance of the DV? Or is it the other way around, that is, it does not explain the unique variance of the DV?