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Ihnwhi

My name is Ihnwhi Heo. In this forum, I try to answer questions about Structural Equation Modeling in JASP.

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Ihnwhi
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  • Sounds great. Good luck! Cheers, Ihnwhi
  • Hi myounan (@myounan), The current JASP Mediation Analysis option works if (1) exogenous variables are either binary or continuous and (2) (when it comes to handling missing data) all the endogenous are of scale type. In your case, one of the indep…
  • Hi pass (@pass), Thanks for your elaboration. It seems like you would like to test serial mediation multiple times with different combinations of Pa, Pb, Pc, La, Lb, Lc, Ta, Tb, Tc. You can follow the way I programmed above, and you only need to ch…
  • Hi pass (@pass), All right. I am sorry I am still a bit confused. So, are P, L, and T like second-order latent variables? Or, you do serial mediation three times: (1) Pa, La, Ta, W, (2) Pb, Lb, Tb, W, and (3) Pc, Lc, Tc, W, respectively? Do you min…
  • Hi pass (@pass), Thanks for your figure. So, if my understanding is correct, your P is a latent variable with three indicators (Pa, Pb, and Pc)? Likewise, L is a latent variable with three indicators (La, Lb, Lc), and so is T (measured by three ind…
  • Hello @Michael_Jasper, I would say this error has something to do with lavaan. In the lavaan community, I could find one post that has the same error message (see https://groups.google.com/g/lavaan/c/IUU553_L0qE). So, I suggest posting your syntax …
  • Hi pass (@pass), Although you cannot run serial mediation in the 'Mediation Analysis' option in the SEM module, there is a trick to do that: you can use the 'Structural Equation Model' option. Because the JASP SEM module is based on the lavaan synt…
  • Hi Jose (@jrojasme), Which convergence plots are you having difficulties in interpreting? I can help you. Cheers, Ihnwhi
  • Hi Jose (@jrojasme), You can refer to these two tutorials on Bayesian regression in SPSS (the first one is more focused on introductory Bayesian regression in SPSS whereas the second one is geared on details, e.g., convergence): https://www.rensvan…
  • Hi Jessica (@Jessica ), You might find that the following papers use JASP for Bayesian analyses for their substantive research. Abramson, L., Petranker, R., Marom, I., & Aviezer, H. (2021). Social interaction context shapes emotion recognition …
  • Hi @SimoneV Thanks for your question. Good observation! JASP team has revamped that functionality, so it is temporarily removed. In the next version, you will see it alongside other substantial upgrades! Cheers, Ihnwhi
  • Hi @cmk, Glad to hear that the response was helpful. Also, it is a great observation that 304 and 305.144 are not exactly the same. Please let me explain the reason for the difference between 304 and 305.144 for you. The value of 305.144 is the var…
  • Hi @alexiasn91, Thanks for your question. I do see that a lot of overlapping numbers in your screenshot. JASP presents path plots based on the R package semPaths , so the functionality to adjust numbers to avoid overlapping is limited. Regarding t…
  • Hi @alexiasn91, Thank you for your question! I do see that numbers are overlapping a lot in your screenshot. The JASP presents a path plot based on the R package semPaths, so the functionality to avoid overlapping estimates is limited at the moment…
  • Hi @alexiasn91, Thanks for your question! Sorry to hear that you are experiencing such an inconvenience. Could you let me know the current JASP version you are using? This plotting error for mediation paths existed in the older version. So, if you …
  • Hi @cmk, Thanks for your question! In your model, it seems like the value of 304 is a variance of the variable PCI, not the error. This is because, in SEM, the variances of the exogenous latent variables are estimated. That being said, when you tak…
  • Hi Klara (@klarasv), Thanks for your question! Yes, you are right. If "Standard" is chosen, standard errors for the corresponding parameters are calculated using the delta method (Sobel test). If "Robust" is chosen, standard err…
  • Hi @carequi, Thank you for your question. I refer you to this Youtube tutorial https://www.youtube.com/watch?v=i7rVZXLgOG8, created by Sacha Epskamp. It is a tutorial about measurement invariance in JASP. The difference between the most recent JASP…
  • Hi @jonathancannon, Thank you for your question. If that is the case, you can use the 'Or (inverted triangle diagram with the upper opened)' when filtering. For example, let's imagine we want to analyze cases where the age above 35 or age-squared a…
  • Hi @Liesbeth, Thank you for your follow-up questions! Yes, you can specify covariance among latent variables as latentfactor1 ~~ latentfactor2 In SEM, covariances among the exogenous variables (exogenous variables refer to variables that predict ot…
  • Hi @juliakatharinapfarr, Thanks for your follow-up questions! I see. If you a solid and concrete theory that a single indicator is sufficient for the latent variables (i.e., a single indicator captures the latent construct), that is not problematic…
  • Hi @new2jasp, Thanks for your discussion. I have three points to share with you. The simple slope analysis is conducted when you are keen on investigating a significant interaction between two continuous predictors. However, you have two binary (th…
  • Hi @AllaY (cc'd @evankesteren), Thank you for reporting this error! I see that you first performed Mediation Analysis. Then, you copied the lavaan syntax produced from JASP and feed it to the lavaan syntax for Structural Equation Modeling (if I und…
  • Hi @juliakatharinapfarr, Thank you for this error report! We will try to figure it out what it means by. Meanwhile, I am wondering about the two points: (1) Do all latent variables have only one indicator? I am wondering about this because, usually…
  • Hi @Liesbeth, With the political democracy data (stored in the JASP SEM data archive), I performed SEM analysis with three latent variables (ind60, dem60, and dem65) where dem65 is predicted by ind60 and dem60. That is, dem65 is an outcome latent v…
  • Hi @Liesbeth, Thank you for this discussion. You are right. I see that the covariances of the latent variables are not presented in the output panel (in JASP version), and there only exist variances of the latent variables. I will ask @evankesteren…

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