Thank you so so so much for this AMAZING tutorial!!! This is actually my second time trying to use R, and this video was a huge help in understanding the basic logic behind conducting SEM using R. I could even code the mediation model by myself in 3 minutes, which made me very happy :D You are a great educator
Thank you very much to all presenters! This is a very newbie-friendly video to learn SEM using R! Everything is well organized and well explained! Looking for more good videos:)
Thank you so much, great workshop. In your last slide, you are talking about multilevel SEM. Is there an easy syntax example you can share? Say I have longitudinal data, we have the same measurements of openness, agreeableness and prejudice, but this time the data is so that the measurements have been collected across multiple participants through time. For simplicity we can assume we have t1 ...tn, n time stamps for all measurement for each participant. How the model 4 syntax can be modified to incorporate this? (we would be using linear mixed effect models with random intercepts (1|participant_id)
Hy Aysu, unfortunatly this channel is only for publishing recordings from previous meetups. If you are looking for assistance with your code, you should consult relevant forums, or reach out to the speaker in person. Edit: Talked to the speaker, and it seems like you already reached out. Hopefully Ronny was able to help you with your problem :)
The best introduction to SEM I''ve seen. Thanks.
Thank you so so so much for this AMAZING tutorial!!! This is actually my second time trying to use R, and this video was a huge help in understanding the basic logic behind conducting SEM using R. I could even code the mediation model by myself in 3 minutes, which made me very happy :D You are a great educator
Thank you very much to all presenters! This is a very newbie-friendly video to learn SEM using R! Everything is well organized and well explained! Looking for more good videos:)
Thanks a lot for this great presentation. It is very informative.
Thanks Simon Pegg! Its been a pleasure learning SEM from you. Very well thought out and delivered workshop 👍
Wonderful presentation! Thank you so much! :)
Wonderful workshop, thank you.
Hi, thanks for the great tutorial. I got stuck with all the other explanations, but now I had the chance to get one step further. Great Job!!
Thank you for such a great video.
It's a great great course. Thank you!
Thank you
Thank u professor!
Thanks so much!
Thank you so much, great workshop. In your last slide, you are talking about multilevel SEM. Is there an easy syntax example you can share? Say I have longitudinal data, we have the same measurements of openness, agreeableness and prejudice, but this time the data is so that the measurements have been collected across multiple participants through time. For simplicity we can assume we have t1 ...tn, n time stamps for all measurement for each participant. How the model 4 syntax can be modified to incorporate this? (we would be using linear mixed effect models with random intercepts (1|participant_id)
Hy Aysu, unfortunatly this channel is only for publishing recordings from previous meetups. If you are looking for assistance with your code, you should consult relevant forums, or reach out to the speaker in person.
Edit: Talked to the speaker, and it seems like you already reached out. Hopefully Ronny was able to help you with your problem :)
Hello, Author. Could you tell me how to get the residual vairances of a MSE by lavaan()? Thanks