I have a question. I noticed that model B of strict invariance is equal to the scalar invariance model. In fact, the outputs of the scalar model and strict model B are the same, with the same degrees of freedom and index values. Can you explain why? Thank you very much.

thake you is very good

Very helpful. Many thanks

The link for the powerpoint and MPlus files is broken. Is there another place to get those? Thanks!

This is such a great presentation and a calculator! Thank you so much!

Thank you for this video

Thank you for your video. it is very useful! It may be a dumb question (cos I am still learning about FD), but it is possible to use this to calculate FD of unidimesional model?

Thank you much for providing all the information that I need for my research

This is pretty clear and step-by-step learning. Excellent resources for beginners. Thank you!

Wow! thank you SO much for posting this!

Thank you for sharing a great presentation!

Well explained about CFA. I got idea about it. Keep it up

The explanation for LMR comparison is too short...

Thank you a lot. I was having a problem with just-identified model and this videp was very helful.

Thank you very much for sharing!

This has been a complete LIFESAVER thank you so much for creating and sharing it!

Great lecture thank you very much! I have a question about the Stata code. I downloaded it, and tried it out, but I can't seem to get the red line in the graphs at the cutoff point. How do you code that? Many thanks!

thank u so much!! thank uuuu

Dear Dr. Peugh, I ran a MG CFA with imputed datasets which gave me pooled parameter estimates over the 17 datasets Mplua computed. However, the output regarding the fit indices looks different from the usual CFA output. It gives expected and observed values similar to what you would expect from the montecarlo command (at least that is what it tells in the user guide). Do you have any idea how to get the usual CFA output? The problem with this kind of output is that I do not get any infomation about the RMSEA confidence interval, for example. It states the averaged point estimate and gives those "expected" and "observed" values. I appreciate any advice!

Excellent presentation! Thank you!

Is there any published paper using bifactor analysis?

Thank you for the concise and informative video! :)

That was a wonderful complement to Angrist's reading. Thank you for the lecture and for making the Stata files available. You were of much help!

How can I contact you over an explanation

Great explanation!

26:09

This was excellent! So helpful and clear.

Thank you for this super clear lecture -- I am including both continuous and categorical variables in my analyses. My outcome show that 3 classes suit the data best (and seem theoretically feasible) but I don't understand how to test if the mean differences across latent classes are significant. I understand that the "Model test" function is suppost to test this using a wald statistic but I am not entirely sure how to set up the syntax. Do you happen to have a tip?

great lecture! thanks a lot:)

This must be the best lecture on the topic!!! Very clear -- this will safe me much time!

great explanation! Really helpful thank you so much

Just perhaps a comment about the high interractorial correlation between Factor 1 and 2 (28:25). This is an indication of multicollinearity which would affect model fit and other things. It would need to be managed / controlled for

is there a way to get the dofile? (please); it was a good presentation but I need to learn more how to do it in STATA

What to if i want to do mediation analysis in my research. And with the help of review of literature i have build a model. But problem occur when somehow two variables are not correlated or when two variables are correlated but one does not predict another variable.

I needed a CFA refresher and this was spot on. Thanks for taking the time to post this.

Thank you very much!

Thank you for creating this tool so thoughtfully! It's a wonderful resource!!

This was a really easy to follow presentation. Thank you! Would it be possible to get this or a similar data set to practice? At the moment, I can only use the demo version of Mplus, which can't take more than 6 variables and all the example data sets that I've found online had more than 6.

somebody to help me I am looking for LTA(latent transition analisys ) in combination with DINA but using Mplus with some bibliography or links. I will apreciate so much and my email is [email protected] or [email protected] thanks

A subscriber recently emailed me about the formula and syntax provided in the video at 37:48 to check the formula for "omegaHf1" is correct. I did some digging and discovered an oversight on my part. The equation and syntax in the video at 37:48 are indeed incorrect and an oversight on my part when creating that slide years ago. So, please disregard the slide in the video at 37:48. All other information is correct and the bifactor indices (estimates) were validated with Dr. David Dueber's free and easy to use 'Bifactor Indices Calculator: A Microsoft Excel-based Tool to Calculate Various Indices Relevant to Bifactor CFA Models' which is available at the following URL: uknowledge.uky.edu/edp_tools/1/

So intelligent I love you! My beautiful black sista!! Keep pushing on

This was really great. Thanks SO much. I'm brand new to MPlus and you've walked through some important concepts, and also provided great resources for learning more. Your PowerPoint is also very helpful. Thank you!

Thank you so much. It was very helpful. :))

This is so helpful - really clear and practical explanations. Thanks you!

Talk into the mic for the whole presentation next time. Some parts are very hard to hear.

Good explanation, I have a little clarification, what is the next step after doing the Factor Analysis?

Awesome stuff!

Thank you so much for the video! It was a great help. I have a sample of 455 families and I wanted to build a latent class regarding the quality of the young-mother relationship informed by both perspectives. Given the sample size, is it advisable to consider another type of analysis? Let me know your thoughts about that. Thanks

is this a Sharp Rdd Model?

Thanks, Michael, So great instructions, do you notice more about the cut-off of the WRMR in terms of model fit?