Thank you for the great tutorial! Is it required to assign the covariance between "Eating_to_cope" and "Drinking_to_cope". Can we keep "indirect1:=a1*b1" and "indirect2:=a2*b2", but remove "Eating_to_cope ~~ Drinking_to_cope" in the model?
@fernandabalbinot9204
Жыл бұрын
Thank you very much for the video!
@user-rp2on8ky5f
9 ай бұрын
Thanks for the wonderful tutorial. I am a bit confused. Is bootstrapping for testing the significance of indirect effect not necessary?
@MohamedHamodaAllam
Жыл бұрын
Thanks for this great tutorial. May I ask how overall all indirect was significant, but indirect2 wasn't! ?
@DrPC_statistics_guides
Жыл бұрын
Because the variance indirect one account for was substantive enough for the overall effect to be significant. All the overall indirect effect is saying is "taken together do these two pathways explain a significant amount of variance " so one explain a decent amount (indirect 1) and one explaining a little (indirect 2) means the total indirect effect is large enough to be significant. Its not related to them both being significant or not per se.
@hope2024-g
Жыл бұрын
Thank you Dr. Very helpful tutorial, how can we do sem using categorical predictor Please ?
@DrPC_statistics_guides
Жыл бұрын
If it's just a two level category you can just add it like you would in a linear regression analysis so it's exactly the same. With more than two levels you would need to dummy code it
@hope2024-g
Жыл бұрын
@@DrPC_statistics_guides Yes my Categorical variable has 7 levels, I will use dummy coding. Thank you Sir!
@suneroneljunet.1438
Жыл бұрын
Is direct effect and indirect effect is same as significant effect and not significant effect?
@DrPC_statistics_guides
Жыл бұрын
No- A direct effect refers to a simple regression association Variable A predicting variable B. An indirect effect refers to an association through the mediators Variable A predicting variable M which then predicts variable B.
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