Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6) 

This series is so great! I learn more from merely ten-minutes of watching this than from 10-hours of literature reading.

This is a great video. Loved how professor Sturgis lucidly explained and covered all the points. Thank you NCRM for this video.

Thank you. This is helpful. I'm new in quantitative research and only learning about this concepts a PhD level. Learning them from the book or article can be confusing but this video is making it easy for me to understand

This is fantastic, not only understandable but also presented in a very interesting way. Thank you so much!

I did not believe I can find such a good file. Really thank you for sharing...

Fantastic and clear explanation. The more I work with SEM the better these videoes become.

Incredibly straight to the point tutorial. Good job. :)

Wow. I've studied SEM so many times and you explanation of how true score (latent variable) and error "caused" the measures is the most clear one I've ever heard. Most people are surprised the arrow points the way they do so it is great you explain so clearly.

Thank you so much for this INCREDIBLY helpful and well-explained video! I will watch all your videos. You are providing free education and spreading knowledge. Thank you!

Wow, this is very simply explained and yet it's also rather comprehensive. Thank you so much for this content!

A wonderfully clear explanation of SEM. Each slide was a revelation.

very clear and concise explanation. As many already mentioned, watching this short vdo can a better understanding than spending hours reading books on one's own. Thanks professor for making such an excellent vdo to share your knowledge.

Great structure on the lesson (no pun inteded), brilliantly put together. Looking forward to the other two.

I am impressed with the simplicity of explanation /presentation

The lecture is amazing! Clear and concise. Thanks!

Absolutely superb. Easy to comprehend and explained so lucidly. Thank you

Thank you so much Professor Sturgis!This is fantastic indeed, i gained a lot from this presentation.

Hi Patrick, thank you for your video. It is the first video I have ever seen that explains the academic/research approach that starts with non-academic communication. This is what precisely new students need - explain things in their language, not at an academic level, if you try to support their academic journey. Making a difference deserves to be congregated and thanked. Thank you again as a newbie research student.

Lovely! The pace and the language used inevitably lead to a good understanding of the topic in hand. Your efforts are highly appreciated.

Well explained, such a helpfull video! Great prof! Thank you!

Thanks professor for a very clear explanation, loved it.

this is really good! thanks for being straight to the point :')

Excellent quality and perfectly structured. Many thanks!

Quite impressive, always thought it was difficult until I meet him teach it so lively

Excellent explanations, hope to see some practical examples in future tutorials.

This video is tremendously helpful! thank you so much!

Very nice, clear and useful talk. thank you very much Prof. Sturgis!

Amazing series Professor Sturgis. I came here first to learn SEM, and I am glad I did!!

i am literally weeping with joy at this!!!

Excellent introduction to SEM. Thanks !!

Great explanation. Thank you for developing this video!

This was super helpful. So well explained! Thank you very much.

Very clear and simple explained. Thank you so much!

thanks a lot for this informative video. It made my learning easier in SEM and this is gonna be helpful for my Ph.D. research. I'm looking forward to enhancing my understanding more on it. Grateful to u for this simplistic sharing of knowledge.

Very easily and well described. Thanks for posting this..

Thank you very much! Very clear, easy to follow and so informative! Super !!

Amazing. I am able to understand everything. Love you all!

Great video, very useful! Thank you for sharing with us!

Prof. thanks for such an excellent lecture. best wishes. Dr. Bilal

Thank you very much Prof Sturgis! Greetings from Germany

Great lecture - tremendous effect on my understanding of SEM

brilliantly explained tutorial - Many thanks to professor

Thanks these videos have been particularly helpful.

Excellent and clear presentation. Great!

Awesome, thanks for sharing, prof..

Super! Thanks Professor, really easy to understand your videos.

Thanks Professor for a very excellent lecture :)

Best explanation about SEM

You are Super Human. super Man.. the true teacher .. Huge Respect

Thank you so much Prof ... though the lecture given was 4 years ago. Well said lecture and good lecture.

Thanks professor! very good and clear explanation

Beyond imagination .. a seriously fantastic explanation.

Excellent presentation, thanks!

I thank you so much Professor for your helpful Lecture.

Excellent explanation. Love this ❤️

Great professor!

Great video. Just one question: in the "indirect" effect, x1 and x2 are not correlated?

this was very concise and helpful! Thanks!

Thank you for your effort and sharing, this is very understandable and helpful! :-)

This is phenomenal! Thank you!

Very clearly explained. Thank you!

This is so helpful! Thank you :)

very interesting Prof. Sturgis!

Thank you so much. It is impressively well explained!

Excellent stuff...thanks Prof

you did great! So clear and understandable!

thanks, professor the lesson is very helpful.

Such a great video!

Great Professor, thank you

good tutorial, it can make me more understand. thanks for sharing

Well explained, Thanks so much.

Excellent explanation!!

Thanks from Vietnam.

thank you very much Professor Sturgis

This is very good Presentation. Every body who conduct social science research must watch this.

Awesome video, thank you prof

Thanks for clear explanation

Really too good and helpful. Although I have some questions related to my research work. Is it necessary that the dependent variable to have indicators to measure it. I have several factors to measure the impact of independent variable on the dependent variable (performance ). Please let me know.

Well.. starting my proposal.. so I need this now. Thank you.

you are an absolute hero

awesome job, thank you

Great explanation regarding covariance based SEM. It would have been great to coin it as such (covariance based) and help novices to understand the difference between covariance and variance based approaches.

amazingly explained

Really helpful. Thank you

Very informative and helpful

many thanks for tutorial

Thank you professor for explaining SEM with neat presentation.

wooo... very clear explanations

Great video. Thank you

Great video!

very interesting and valuable

Well presented, thanks.

Thanks for this video

Thank you Sir. It is very helpful for me. Wish you great success Professor Patrick.

Great. Very helpful. Thanks

Thank u prof. jazakallah

Thank you, Professor. very understandable video.

Thank you very much

Terrific lecture

Thank you very much sir, You explained so well. I want to analyze an accumulative data of 10 countries. Do i need to constrain country dummy variables with 'regression weight =1" for fixed effects? or i don't even need to add them in path diagram? Thanks in anticipation