General SEM Discussions
how to avoid NA in confidence interval
vars <-c('tea_5g','smk_num_4g')
covars <- c("age","region_type")
nv <- 2 # number of variables per twin
ncv <- 2 # number of covariates
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the thresholds in SEM of ordinal variables
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Latent spline/piecewise regression model on cross sectional data
For my research, I would like to estimate the association between two latent variables using a spline/piecewise regression model with a single knot. The model should estimate two separate linear regression lines and the knot location (see attached image).
The two latent variables are anxiety and negative affectivity and both are measured with 7 indicators on a 1-5 Likert Scale.
Finding R-squared for two different models
I have a question about how to calculate r-squared for two different kinds of models. One is correlational and the other models change over time, with just two time points. They both include latent constructs, with anxiety and depression in both models as latent variables derived from four items each. The models are identified and have a relatively good fit CFI of .944 and .954, respectively.
1) "Plan E" Correlational Model (attached visual)
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How are weights used in mxData
I couldn't find a in depth enough explanation in the documentation and I don't know c++ to be able to get this information from the source code, but I just wondered if anyone can expalin exactly how the weights in the "weights" argument in mxData is actually used mathematically? I know obviously a bigger weight will give more weight to that row of data etc, but I wanted a more detailed explanation than this if that's possible?
Thanks!
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links are down
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multi group comparisons in RAM
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Mplus and SPSS Training - London - SEM, multilevel, mediation/moderation, growth curves, Data Management/SPSS syntax
in London
---------------
Tuesday 6 November 2018 - Structural Equation Modelling using Mplus
at LSE, London
An introductory course to CFA, SEM, and to using Mplus software
Wednesday 7 November 2018 - Testing for Mediation and Moderation using Mplus
at LSE, London
Learn to test mediation and moderation type models using Mplus
Need help to fit a piecewise latent growth curve with time-invariant covariates
I am trying to fit a PLGC model with TICs, but it reported errors. I am attaching data and codes I used for the model. I set the initial values as the estimations from Mplus8 (script is also attached, need to change to .inp). Any advice would be appreciated.
--solved, thanks
Fitting SEMs from correlation matrices and standard errors
I have two general questions and I am particularly interested in doing these models in OpenMx.
1. Is there a way to estimate SEMs with input only being pearson's correlations and the standard errors from the pearson correlations? I want to do this without back transforming to the sample size, so essentially the sample size is unknown.
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