Questions tagged [mplus]
Mplus refers to a commercial statistical modeling program for general statistical analysis.
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How do I choose which indicators to retain in a LCA model?
I'm conducting a Latent Class Analysis for the first time, and I'm a bit confused by one of the steps.
I currently have 104 dichotomous latent class indicator variables, and my Lo-Mendell-Rubin ...
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Likelihood ratio tests in Growth Mixture Modelling with large sample sizes
I recently conducted Growth Mixture Modelling in a Structural Equation Modelling framework using a sample of n~300,000. I found that for any number of trajectories I fitted, the Vuong-Lo-Mendell-Rubin ...
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mplus - regression including predictors simultaneously vs. not
I'm running an ESEM in MPLUS and I'm wondering if there's a way to run independent regression models with each factors as predictors
so rather than including all factors simultaneously in the model as ...
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Missing values of two variables collide
I am performing multivariate regression in MPlus with survey data.
The issue is that two predictors (from two different data collection years) do not have any common data: people who answered on ...
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Multilevel modelling weight
I want to use a nation-wide dataset which is associated with individual level weight to show the population in the US that is represented by the sample, and county-level sociodemographic census ...
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Should residuals be equal (or unequal) in multigroup SEM when testing means?
What happens if I allow residual variances (and their correlations) to be freely estimated when testing multigroup differences in intercepts?
I am comparing intercepts of my dependent variables (e.g., ...
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How to assess model fit for multilevel SEM (using Mplus)?
According to a preprint chapter by Sadikaj et al. (2019), the standard way to establish model fit for multilevel SEM is (1) develop a measurement model at each level if latent variables are included ...
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second ordered latent trait model
I am fitting a second ordered latent trait model Under IRT using 17 binary items. The model fitted using MLF estimator, with keep all loading free and set the variance=1.
My question is when i change ...
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Multi-group CFA in Mplus with Missing Indicator
I am conducting SEM analysis in Mplus where I have one latent factor with four items. I am trying to conduct a multigroup analysis(3 groups) to evaluate moderation from the latent factor to an ...
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Growth mixture model to establish trajectories of maternal depressive symptoms
We have been trying to conduct a growth mixture model to establish trajectories of maternal depressive symptoms. We have managed to set up a model in MPlus and it runs, but we have a few theoretical ...
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Wy do I get very bad fit indices for a moderation? (including a negative TLI!) / Multilevel Model
I'm testing L1 moderation models using Mplus.
I'm getting satisfactory fit indices for the model including my main predictor, then the model including a second predictor which will serve as moderator.
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Can I GROUPMEAN center one variable and not the second one involved in an interaction / Multilevel Model with L1 Moderation
I'm fitting a multilevel model with an L1 moderation on Mplus.
I am trying to demonstrate that the effect of X (independent variable / mean of scale items) on Y holds only when people do not make a ...
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Why is -2*Log Likelihood inreasing when I add a predictor? / Multilevel Model
I'm working on a multi-level model using Mplus and trying to fit a regression at level 1 (within level).
I'm surprised to see that adding a second predictor at the within level increases my -2LL (-2*...
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Getting different standard errors using mplus and lmer in R
I am fitting the same mixed effects model using mplus and lmer in R. Since mplus uses full ...
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I am running a simple mediation model. How do I control for race, and if I do, will I loose statistical power?
I am running a simple mediation model in a path analysis framework using Mplus.
The direct path in my model is grades (independent variable) predicting happiness (dependent variable). The indirect ...
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Three groups in 2-1-1 multilevel mediation model: Dropping cases for comparisons?
I have data from a randomized controlled trial with two treatments (Group A and B), one control group (Group C) and four measurement points with two mediators and two outcomes. Mediators and outcomes ...
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Latent Profile Analysis - standardizing the variables and interpreting it
This is the first time I'm running an LPA and prior to running it, I standardized all variables because I read that would help interpret the profile structure later.
And now I'm confused in the ...
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Calculate R² from regression estimates (beta coefficients, variances of variables etc.)
I need a generalisable way to to calculate $R^2$ from given regression estimates (regression coefficients, variances of variables, covariances between variables, residual variance of the response ...
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How to disaggregate level 1 residuals in lmer models in r
I am running a linear mixed model in r:
model <- lmer(variable ~ time +(1+time|id), data = long)
The output for random effects is:
...
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Correct Estimator for Path Analysis/SEM Using Categorical Covariate
I'm currently building a path analysis model with model-based corrections for measurement error, using a latent variable structural equation model (i.e., each observed variable serves as a single ...
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High non-invariance when using the Alignment method
I am attempting to use the Alignment within CFA method from Marsh et al. (2017) on 2015 PISA. However, six out of the nine factors have more than 25% non-invariance. What can be done to a dataset that ...
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Are direct effects between latent variable indicators ever appropriate?
I have a longitudinal structural model regressing 1 endogenous latent variable at Time 2 on 4 exogenous latent variables at Time 1. The modification indices in Mplus suggest including a direct effect ...
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Why correlations are different when they are calculated from latent variables (CFA), than when they are calculated from composite scores?
When I am doing a statistical analysis, first I take the measures of each of the constructs I am measuring and I create an average score. With these averages, I calculate the correlation between ...
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Correlation above 1 between second-order and first-order latent variable [closed]
So I ran CFA on an exhaustion measure comprising of three facets which were specified as first-order latent variables. When I added a secon-order latent variable to the model the correlation between ...
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Transforming scores of two different measures?
I'm working with two different measures of PTSD symptoms, the Acute Stress Disorder Scale (ASDS) and PTSD Checklist (PCL) in an LGMM model in MPlus. The model uses four time points of PTSD symptoms (...
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Effect Size/Variable Importance in Pathmodell with metric and binary predictors (using mplus)
i want to calculate the following Path-Model:
I got 4 variables refering to a specific place or spot (like a climbin-rock).
There are 2 Liking ratings, one cheap/expensive rating and one young/...
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Testing Inequality Constrained Hypotheses in SEM with lavaan
I'd like to know how can I test for inequality of estimates in a lavaan::sem() fitted model (using R)?
Also, is there a known ...
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Add control variables in moderated mediation model in Mplus
I am very inexperienced in SEM.
I am testing a moderated mediation model with two serial mediators (M1 and M2) of the X-Y relationship, and also one moderator (W) of the X-M1 relationship (a pathway). ...
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Intercept of latent variable underlying an observed categorical Variable
In Structural Equation Modeling one approach to deal with categorical Mediators is the "underlying latent variable approach".
However using this approach e.g. with the MPlus software, only thresholds ...
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Mplus multilevel model with variables of different length
Let's say I have 4 variables on the within person level - xa, ya, xb, yb.
xa and ya have each 100 trials, xb and yb have 200, and there are 150 subjects.
I want to build the following multilevel ...
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Growth Mixture Models in MPlus
I'm new to mixture modeling and MPLUS, so apologies if this question is misguided. I am currently working through a dataset and learning off of Higher-Order Growth Curves and Mixture Modeling with ...
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Using standardised scores in MPLUS
I would like to ask you if it is possible to use standardised z scores in MPLUS instead of raw scores for variables included in a mediation model.
I work on a study, where we have measured stress in ...
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Binary variable as a mediator and indirect effects estimation in SEM model by Mplus
I would really appreciate anyone's advice on my modeling in MPlus :)
So we are interested in estimating the indirect effects of X1 (t_health) and X2 (t_freq) on Y (cesd) through M (pa). PA is a ...
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Multilevel modeling with latent variables in Mplus
I have collected data points from 216 individuals. A1, A2, A3 are three performance measures to be combined into a latent variable lA. I have three observations on this measure for each individual. U ...
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Type complex vs two level
I am conducting a cfa (two level, with meaning of level 2;it is staff rating organizations and we care about organizations).
My question is what is the difference is in mplus between type=complex (...
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APIM analyses of dyadic data: comparing HLM/MLM to SEM results, data structures, SAS Proc Mixed vs. Mplus and more!
I have run a set of dyadic analyses (distinguishable dyads: mom, infant) using both an SEM panel approach, as well as via an MLM/HLM approach using Mplus. In short, while there are subtle differences ...
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Multilevel Moderation with nested data and repeated measures
I am currently trying to test a moderated mediation model with nested data and repeated measures.
My independent, moderator, mediator, and dependent variables are on the individual level. I used ...
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SEM with manifest categorical outcome variable
I'm examining if the Big Five personality traits have an effect on the relationship type someone is in.
The Five personality traits are latent with continuous indicators, while the dependent ...
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What are the assumptions to path analysis and how to test them?
There are some structural assumptions to path analysis that are not difficult ascertain. They are (a) no loops (b) no going forward and backward (c) a maximum of one curved arrow per path.
I am aware ...
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How to specify a significance test for intercept and slope between multiple latent groups
I have done a Latent Profile Analysis on 34 symptom-distress-items at beginning of psychotherapy treatment. I came up with 5 latent groups. The entropy of the model was 0.779
The average Latent ...
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Total indirect effects: Structural equation modeling
I'm trying to calculate the total indirect effects in a structural equation model with four exogenous latent variables, four latent mediators, and one outcome variable. Mplus gives the option for the "...
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Total R-squared: Structural Equation Model
I'm trying to calculate the total R-squared in a structural equation model. Basically, I want to compare models based on the amount of variance accounted for by the endogenous variables in general (I'...
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How to interpret the results when the models are constrained to be invariant in multi-group modeling
I have constrained two models to be equal, and based on the $\chi^2$ test there is no difference between the models, they are invariant. These two models contain exactly the same path coefficients. ...
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How to structure dataset and write syntax for mediation model with clustered data?
I have a dataset of 300+ students with teacher-reported data. There are 17 total teachers that reported data on the students.
I would like to run a model that tests mediation where the mediator is a ...
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Growth Modeling of Longitudinal Data: Growth factors as predictors in Regression
i have this following situation. I have a dataset of four measurement
occasions. In the first three occasions the same test was introduced.
This three timepoints are equidistant. The fourth data ...
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Create simulated path model dataset and save to CSV [closed]
I am teaching a multivariate stats class and wanted to give people some simulated datasets with mediation, path modeling, and other features. I know it's possible to run monte carlo studies in MPlus, ...
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Regression: Covariance table in spss vs. mplus
I want to use regression output (b, se B and cov of several predictors) as input for a new analysis.
One example: I want to compute:
SE^2(b1) + SE^2(b2) + 2 COV (b1,b2).
If I do a basic regression ...
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Factor correlations larger than 1
I'm doing a confirmatory factor analysis (CFA) in Mplus, testing a 5-factor PTSD model with responses (n=376) to a PTSD questionnaire (the Harvard Trauma Questionnaire). For some reason, the output ...
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3k
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Paired samples t-test using a structural equation modeling approach
Is it possible to perform a paired samples t-test in a structural equation modeling (SEM) program? I am confused, as I have found on the web that you can run a Wald test, but I am not sure if it is ...
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Appropriate way to treat [0,1]-distributed variables in HLM
Brief intro: I'm not really sure how to appropriately treat the dependent variables in a set of hierarchical linear models that I'm trying to run. In my models, Level 1 units are children and Level 2 ...
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