I'm trying to test two competing SEMs. Both contain a bifactor model predicting a latent variable. I would like to assess whether the model fit is improved by allowing the specific factors to predict in addition to the general factor. Model: EmoReg BY D1, D3-D5, D7, D9, D11-D16, D18-D33, D35-D36; NON BY D25 D21 D12 D11 D29 D23; GOAL BY D26 D18 D13 D33 D20; IMPULSE BY D32 D27 D14 D19 D3 D24; STRAT BY D16 D15 D31 D35 D28 D22 D36 D30; CLAR BY D5 D4 D9 D7 D1; EmoReg WITH STRAT@0NON@0GOAL@0IMPULSE@0CLAR@0; STRAT WITH NON@0GOAL@0IMPULSE@0CLAR@0; NON WITH GOAL@0IMPULSE@0CLAR@0; GOAL WITH IMPULSE@0CLAR@0; IMPULSE WITH CLAR@0; DASS BY str anx dep; DASS ON EmoReg; DASS WITH STRAT@0NON@0GOAL@0IMPULSE@0CLAR@0;
The specific factor syntax is identical except the last line is: DASS ON STRAT NON GOAL IMPULSE CLAR. Is this correct? Thank you!