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Questions tagged [mplus]

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

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Twolevel multgroup model in Mplus [closed]

I would like to use Mplus to run a two-level multigroup model with two groups (e.g. example 9.11 in the user guide). My question: I have an independent variable X that varies in group A only between ...
MP SZ's user avatar
  • 21
5 votes
1 answer
139 views

SEM with 50% missing data (due to distribution of items over various survey ballots/waves)

I want to test a multilevel mediation (particularly, test a number of hypotheses about possible mediators of the effect of social class on Right-Wing Authoritarianism) using largely categorical ...
ThomasV's user avatar
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7 votes
1 answer
278 views

What sample size should be reported when using pairwise deletion approach with WLSMV?

I have a question regarding reporting the sample size in an article. The situation is a bit complex, so please allow me to explain below: I collected data from participants via an online survey. ...
İpek Gülsün's user avatar
0 votes
0 answers
25 views

Question regarding control variables in a serial mediation model

i encountered questions regarding running a serial mediation model in mplus. my IV is ERS(excessive reasssurance seeking) DV is depression (DEP), my proposed two mediators are INU (internet use) and ...
Claire Cheng's user avatar
6 votes
2 answers
279 views

How to report the interaction effect in the paper?

I am calculating the moderation (interaction) effect of one variable on the relationship between two variables using Mplus. All of them are continuous variables. Before I calculated the interaction ...
İpek Gülsün's user avatar
1 vote
2 answers
150 views

How to calculate Mardia's multivariate normality in Mplus?

I would like to assess the multivariate normality of the structural equation model (SEM) in Mplus. I have a few questions regarding this matter: How can I examine multivariate normality, specifically ...
İpek Gülsün's user avatar
2 votes
1 answer
29 views

What are other measures to consider when you don't have modification indices in your invariance test?

I have a question considering longitudinal invariance testing. The software I use is Mplus and I have tried three different scale application approaches; reference indicator approach, fixed factor ...
EmH's user avatar
  • 315
2 votes
1 answer
38 views

Is it alright to place equality constraints on the items loadings for assessing configural invariance using effect coding approach?

I am wondering if somebody can help me out with the syntax to run a longitudinal invariance test using effects coding approach in Mplus. I have figured out that to run a CFA with effects coding, I ...
EmH's user avatar
  • 315
1 vote
0 answers
20 views

Do scale applying approaches need to be the same for longitudinal invariance testing and the subsequent growth curve model?

I have a question concerning scaling approaches in longitudinal invariance testing and a subsequent latent growth curve. That is, for example, if the invariance test was conducted with a marker ...
EmH's user avatar
  • 315
2 votes
2 answers
177 views

Can we use a likert scale of 0 to 5 for SEM analysis?

I am learning to do SEM analysis and have finished the data collection. In my questionnaire I have scales measured from $0$ to $5$ which measure emotions ($0$ = not feeling it at all to $5$ feeling it ...
Riri Rustam's user avatar
1 vote
1 answer
39 views

longitudinal measurement invariance - why do loadings for latent factor changed signs?

I have run separate EFAs and then CFAs on the second half of the dataset to confirm the solution and the one-factor solution fits well across time points. One weird thing is happening though when I ...
CatM's user avatar
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0 votes
1 answer
74 views

How does a latent variable's communality value (R-squared) afect the interpretation of a latent basis model?

I am running a latent basis model with 5 time points. The model has 5 measures of 5 items that make a factor. I ran the model with the folloing code(Mplus) ; ...
EmH's user avatar
  • 315
0 votes
1 answer
32 views

How to interpret results of a latent basis analysis when the estimated lambda exceeds 1?

I have ran a latent basis analysis and got the results below. S BY AE1 0.000 0.000 999.000 999.000 AE2 0.714 0.185 3.867 0.000 AE3 ...
EmH's user avatar
  • 315
0 votes
1 answer
28 views

Consequences for not estimating autocorrelated residuals in a growth curve model

I am fitting a second order growth model with 7 time points on Mplus. When I estimate the model with autocorrelated residuals in it the model will not run because of identification issues. (when I ...
EmH's user avatar
  • 315
1 vote
1 answer
239 views

Comparing cross-lagged coefficients in Mplus (Wald chi-sq test)

I'm running a cross-lagged panel model analysis in Mplus. The cross-lagged path coefficients were constrained to be equal across time. Now, I'd like to test if the cross-lagged path from MSC to MA and ...
hakim's user avatar
  • 13
1 vote
1 answer
62 views

Convergence in multilevel SEM in MPLus / N = 18000 about 30 clusters [closed]

The current model we are working on is a multilevel SEM model with an 18-item scale (Mplus, ML estimation), between-level (the country-level) is saturated by letting each item correlate with one ...
Philipp's user avatar
  • 11
1 vote
0 answers
189 views

MPlus Cross-Level-Interaction

I would like to run a Cross-Level Interaction in MPlus with a Level-2 Moderator and fixed slopes. I do not center the level 1 predictor because I use latent ...
Bella's user avatar
  • 11
1 vote
0 answers
31 views

Cross-level influence in multilevel model for longitudinal data with time-invariant outcome

I don't have a lot of experience with multilevel models and Mplus, so I'm unsure if my approach is appropriate. I would therefore be very grateful for any help and feedback! I have data from an ...
Jonas's user avatar
  • 11
1 vote
0 answers
65 views

Back transformation of dependent variable after square-root transformation in a two-part model in MPlus

I want to find out if one behavioral intervention had also an effect on another behavior (let´s say smoking). Currently, I am testing the moderation with a two-part model in MPlus, where smoking is ...
Filipa's user avatar
  • 11
0 votes
1 answer
109 views

Confidence interval that starts with 0

I have a confidence interval that starts with 0 (0, 0.8) at the 95% interval. would this be considered significant?
Ariana Lee's user avatar
2 votes
1 answer
323 views

Latent growth model - Is it possible to fit this model on latent variables?

Would it be possible to fit latent growth curve model on latent variables instead of directly on the observed measures? Each latent variable would represent a latent construct (e.g., intelligence) at ...
CatM's user avatar
  • 506
2 votes
1 answer
237 views

Multiple imputed data set from SPSS to import into MPLUS

I'm developing a scale for my dissertation project. I need help with how to handle missing data before I start the factor analysis procedure. Recently I ran a multiple imputation in SPSS (20 ...
stephan_phd's user avatar
0 votes
2 answers
784 views

Constraining correlations between two latent variables using CFA [closed]

I am running a model using CFA (laavan package) in R. Three-factor model fits the data well (for both female and male groups), the correlation between latent variables are different though, I'd like ...
April's user avatar
  • 1
0 votes
1 answer
54 views

Does it make sense to do a prior sensitivity analysis if using flat priors (Mplus default)?

If it does make sense to do a sensitivity analysis how should one determine which priors to use? If flat "non-informative" priors are chosen to begin with because of a lack of information ...
qgj92's user avatar
  • 11
2 votes
1 answer
114 views

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 ...
Alice's user avatar
  • 31
0 votes
1 answer
49 views

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 ...
llbia's user avatar
  • 361
2 votes
1 answer
231 views

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., ...
JohnB's user avatar
  • 21
0 votes
1 answer
458 views

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 ...
user340480's user avatar
1 vote
0 answers
15 views

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 ...
Stefani Du Toit's user avatar
2 votes
2 answers
877 views

Why 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 ...
MEM's user avatar
  • 31
0 votes
1 answer
119 views

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 ...
MEM's user avatar
  • 31
1 vote
1 answer
171 views

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*...
MEM's user avatar
  • 31
3 votes
1 answer
268 views

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 ...
student_R123's user avatar
1 vote
0 answers
77 views

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 ...
Bob Bernstein's user avatar
1 vote
0 answers
104 views

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 ...
Aljoscha's user avatar
2 votes
1 answer
694 views

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 ...
llbia's user avatar
  • 361
2 votes
0 answers
323 views

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 ...
phx's user avatar
  • 667
2 votes
1 answer
372 views

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: ...
Linh Nguyen's user avatar
0 votes
1 answer
464 views

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 ...
Taylor Braund's user avatar
1 vote
0 answers
30 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 ...
BtO's user avatar
  • 11
0 votes
1 answer
66 views

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 ...
user238328's user avatar
3 votes
1 answer
152 views

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 ...
Casi Jllo's user avatar
1 vote
1 answer
619 views

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 ...
Sandy's user avatar
  • 11
0 votes
0 answers
23 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 (...
LMeli's user avatar
  • 9
1 vote
0 answers
114 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/...
TinglTanglBob's user avatar
2 votes
1 answer
230 views

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 ...
blazej's user avatar
  • 547
0 votes
1 answer
1k views

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). ...
jb2408's user avatar
  • 1
2 votes
0 answers
258 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 ...
Stephan's user avatar
  • 21
1 vote
2 answers
202 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 ...
User33268's user avatar
  • 1,742
0 votes
0 answers
216 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 ...
vconfused101's user avatar