Видео

Hello Mr van Zyl. How good is ESEM in R nowadays? I am somewhat comfortable with it than I am with Mplus. Are there any advances in ESEM package since the recording of this video? Does R still have shortcomings?

Thank you for this great video!! This is extremely helpful!!! Is there a literature you would suggest me to cite for measurement invariance?

Thank you very much.

Thanks for this video! The scalar model fits my data (Time 1 and Time 2) well. I now want to use the factor scores to run some other models. How do you save the scores? Thanks @LlewellynVanZyl

Dude you are amazing!! It took me forever to find a video that covered everything in a simple way! I'm doing a CFA path analysis for my PhD dissertation 🎉

Thank you! I try correlate the items suggested bu MI, and I only correlate those belong to the same consturct. The model then fit well, however, mplus gives a warning that:" WARNING: THE RESIDUAL COVARIANCE MATRIX (THETA) IS NOT POSITIVE DEFINITE. THIS COULD INDICATE A NEGATIVE VARIANCE/RESIDUAL VARIANCE FOR AN OBSERVED VARIABLE, A CORRELATION GREATER OR EQUAL TO ONE BETWEEN TWO OBSERVED VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE THAN TWO OBSERVED VARIABLES. CHECK THE RESULTS SECTION FOR MORE INFORMATION. PROBLEM INVOLVING VARIABLE T3_ENGA2." What does it mean and does it matter? Thank you so much!

If my iv is measured by 4 items, mediator is measured by 5 items, and dv is measured by 9 items, what should I do to avioid the NO CONVERGENCE problem? Thank you so much!

Always add ~bacon to the equation

Which one is a higher-order factor analysis?

Thank you for the video. I saw you just included 1 variable at 2 time points. My question is that like cross-lagged model, we generally have variabe A and B in Time 1,2 ,3 for example. Should we put all the variables at 3 time points together in the CFA to test Configural Metric Scalar invariance rather than test the A and B one by one?

Thank you

I hope you will see this: I am trying to find a way to run two-level exploratory analysis however I am getting negative residual variance at between level. I wonder if there is a way to fix the residual to zero in two-level EFA. I also wonder if there is a Multilevel ESEM or a code for Two level ESEM. Thank you in advance

Thank you for this tutorial.

Thank you for this example, in the case that your moderator is not binary, how does the syntax line change where you set the low and hi w values?

Why don't you center the predictors in the third example?

I am now an avid viewer, Using SEM in my doctoral thesis

Thank you for making this video! Now I know how to try moderation in my model =)

Can you post code for a moderated mediation sem model. Would it be a whole lot different? Ive done serial mediation in mplus but not with moderation. Also what about adding control variables.

Great video! Just FYI, this is for mplus 8.9 not 8.8. I tried doing it on 8.8 but it didn't work then went to the website and saw it works for 8.9. Got my update to 8.9 and it did work.

Hi, how did you calculate the differences among, CFI, TLI, RMSEA, and SRMR?

Hi thanks for this video. I have a model with a strong fit on all indices. The reviewer is asking me to compare with a competing model. What does this mean? My model was computed with latent variables; do I compare with a non latent variable model, for example?

Thank you so much for explaining the second-order model, but my friends told me that the second-order model can not consist of two first-order factors, it will consist of more than three? Can you give me some tips about that or give me some reference to read?

Thank you very much for your amazing work. Could you please upload videos on multilevel modeling

I am running a NOCOVARIANCES model (CFAs using a MLR estimator) and my CFIs are suspiciously low (some are 0.4, some are 0) considering the wide use of the scale I am using. Do you have any ideas as to why that might be? I triple checked and the data in the data file is correct, everything adds up. With the other CFAs we ran from the same database but for other variables, there is no problem. Only this one variable has extremely poor fit. Any ideas? Thanks in advance!

Thank you very much for sharing this informative video! I have a question regarding the significance of the statistical indirect effect when the STDYX 95% CI crosses 1 (e.g., 1.26). I have come across the following result: (β = .30, bias-corrected 95% CI = [.19, 1.26], excluding 0). Since the 95% CI crosses 1, can I still conclude that there is a statistically significant positive indirect effect of the x variable on the y variable through z? I appreciate your help in answering my question. Thank you in advance!

Great stuff!! Thanks for sharing this!

why don't I get the model fit information in the output result?

Thank you so much for this - this is wonderful. Question - if the two groups do not have good fit on CFI/TLI - would I just claim that they are invariant at the factorial level and stop further test?

Thank you so much for your videos! I was struggling with my coursework a lot, but you became my savior :) \ Glad to see you're still making content even though your videos are useful only for a narrow circle of specialists, thus unpopular. Is there any way to support your work with money?

Thanks so much for a great video! I have a question regarding counting the overall sum score from a questionnaire. I've seen in some articles that an overall score was used with model 2 as well as with model 3. Is this correct to use a sum composite overall score in the case of model 2, or in this case only separate scores for each dimension should be calculated? For example, if the theory says that grit is composed of POE and COI (they both together represent the theoretical concept of grit), and those dimensions are correlated as in model 2, is it appropriate to count an overall sum score?

Thank you! You just saved my dissertation 🧠

Very helpful and informative. Thank you for making it so smooth!

Do you have any resources on how to do this if you are using multiple imputation. The model command configural metric scalar is not available with Mplus if using imputation. Thank you!

In a model such as the one shown at 14:18 (Task on G, Passion, Perseverance), is it possible/appropriate to model interactions between the specific factors and the general factor to look for moderation?

Do you have any tutorials on moderated mediation?

Hi sir how we can decide the scale is first order or 2nd order

This so helpful and entertaining. Thank you so much. I am just wondering why ESEM is not used in science or engineering fields? another question please, if I want to rank the items based on their risk level or importance, would cross-loadings be allowed in this situation?

What if first order model and second order model have the same model fit information such as CFI, TLI, RMSEA, SRMR, AIC, BIC, and Adjusted BIC. How can we decide to choose the first order or second order?

Statistics IKEA style 😂 Thank you very much, this is very helpful.

thank you so much...

Thank you for explanation. It was very clear

Hi! I was just running a CFA today using various types of models (1 factor, 2 factor, bifactor, etc.) and I noticed that the asterisk that you seem to indicate is needed to indicate a freely estimated loading, doesn't seem to be necessary if the factor variance attached to that loading has been constrained to 1. In other words, with my factor variance constrained at 1, I still got freely estimated loadings whether asterisks were there or not. No one seems to mention this when I look around in books or online. Thoughts? Smart mPlus I guess! Otherwise, thanks for your content!

Amazing!

Thank you very much for this eye-opening video! I have a question. To improve the model fit, can we remove a factor loading that is less than 0.4 but statistically significant? Should it be both less than 0.4 and non-significant?

Do you have a video or code for longitudinal measurement invariance? We have repeated measures

I cannot tell you how much your videos and your files are helping me!!! Thank you so much for doing these!!

Un grand merci pour ce tutoriel et surtout pour avoir mis à la disposition des étudiants les matériels didactique.

hello, a tutorial on calculating the invariance in cfa with second-order factors would be extremely useful. Are you planning to publish a tutorial about it? Thank you!

How do you run the Wald Test with a modified model? eg. Model: IMAGIN by AQ3 AQ8 AQ14 AQ20 AQ21 AQ24 AQ40 AQ41 AQ42 AQ50; AQ8 WITH AQ3; AQ50 WITH AQ40; AQ21 WITH AQ20;