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.
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?
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!
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!
Hi Kinu, This is Dr. Toland, a colleague of Dr. Peugh's. If you are looking for traditional fit indices you will not get them with MI in Mplus. You get the averages for the typical fit indices. If you are really looking at fit, you might want to consider Peugh & Feldon 2020 in CBE (Cell Biology Education) Life Science Education where they demonstrate how to do use Marcoulides and Yuan’s Equivalence Test: www.lifescied.org/doi/full/10.1187/cbe.20-01-0016
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?
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
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.
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 lalin_min73@hotmail.com or lalinmin@gmail.com 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/
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!
You are very rude. At least say thank you first before making any recommendation and I could hear clearly. It took a whole effort to put a video together.
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
I'm so glad that you found this video of great help. Regards to your question, it depends on a lot of variables. Your sample size for LCA is not quite that large but it might be amendable to using LCA. I recommend you read The study titled effect size, statistical power and sample size requirements for the bootstrap likelihood ratio test in latent class analysis. The paper was published in structural equation modeling, 2014, volume 21 issue 4. Pages 534 to 552. I would check out table 8 in particular.
