when you remove variable from path analysis model why is a path model not acceptable why does fit get worse why does a p-a linear model get worse when removing a non-significant predictor from the model what is the outcome variable in a path analysis model why does a path model get worse why does the fit get worse when I remove a non statistical predictor from the path model? why does the fit get worse when removing a nonsignificant predictor from my path model? how does the fit get worse after removing a predictor variable from a path model? why is the fit of my path model worse when i remove a nonsignificant predictor from my analysis how to test an outcome variable in path analysis why does path fit get worse why does the fit get worse when removing a nonsignificant predictor from my path analysis model? why does the fit get worse when removing a predictor from my path model? why does the sacramento fit get worse when a non-significant predictor is removed from a path model? why does path analysis fit poorly why do path models fail why do models get worse if you remove a non significant predictor why does the fit of a path model get worse when removing a non-significant predictor? why does the fit get worse when i remove a non-significant predictor from my path model?