# Questions tagged [mplus]

Mplus refers to a commercial statistical modeling program for general statistical analysis.

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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 ...
122 views

### 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 ...
187 views

### 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 ...
83 views

### 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 ...
2k views

### 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'...
439 views

### 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. ...
630 views

### Underdispersed count data and factor analysis

I am working with count data from a psychological experiment. Data are from several subtests, i.e. scores on these tests. The way these scores are generated is clearly not Gaussian (not only because ...
10 views

### Difference in analysis between latent and observed variables in Mplus

I would like to ask what is the difference between the analysis being run on latent and observed variables in a full SEM being run in Mplus. I've been recommended to change the factors within the CFA ...
14 views

### 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 ...
20 views

### 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 (...
68 views

### 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/...
71 views

### 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 ...
121 views

### 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 ...
196 views

### 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 ...