R tutorial: Structural equation modelling part 2 (indirect effectsl)

This video is the second in a series on structural equation modelling in R. In this video, I will show you how to compute indirect effects. Data and code used can be found here drive.google.c...

[@alexandrechisini7899]

Thank you! Great material!

[@fernandabalbinot9204]

Thank you very much for the video!

[@yangyang6008]

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?

[@user-rp2on8ky5f]

Thanks for the wonderful tutorial. I am a bit confused. Is bootstrapping for testing the significance of indirect effect not necessary?

[@MohamedHamodaAllam]

Thanks for this great tutorial. May I ask how overall all indirect was significant, but indirect2 wasn't! ?

[@DrPC_statistics_guides]

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]

Thank you Dr. Very helpful tutorial, how can we do sem using categorical predictor Please ?

[@DrPC_statistics_guides]

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]

@@DrPC_statistics_guides Yes my Categorical variable has 7 levels, I will use dummy coding. Thank you Sir!

[@suneroneljunet.1438]

Is direct effect and indirect effect is same as significant effect and not significant effect?

[@DrPC_statistics_guides]

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.