Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [mplus]

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

Mplus is a commercial statistical modeling program that provides researchers with a flexible tool to analyze their data. Mplus offers researchers a wide choice of models, estimators, and algorithms in a program that has an easy-to-use interface and graphical displays of data and analysis results.

Mplus allows the analysis of both cross-sectional and longitudinal data, single-level and multilevel data, data that come from different populations with either observed or unobserved heterogeneity, and data that contain missing values. Analyses can be carried out for observed variables that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types. In addition, Mplus has extensive capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according to any of the models included in the program.

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Is Bayesian structural equation modelling better than maximum likelihood with smaller sample sizes?

Does using the bayesian estimator to complete SEM in Mplus mitigate some concerns with a limited sample size (n=120). I.e is this approach preferred over using the traditional ML estimator with associated p values?
user36397
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Muthén's robust weighted least squares factoring method for binary items...in R?

I am working on an exploratory factor analysis of dichotomous items. I've found this post extremely helpful. However, Mplus seems to be a standard that journals in my field are expecting, and I would love to replicate Mplus results in R. I've…
sprins123
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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 the same as a t-test.
Irving
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Comparing SEM software apps: AMOS vs Stata vs Mplus vs R ---- opinions please?

I have AMOS and Stata, and I have a colleague who has Mplus (and I'd rather not ask the colleague to run my data for me). I recently discovered that Stata has SEM capabilities. I looked online, but I can't find any comparison of Stata vs AMOS vs…
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Exploratory Factor Analysis Results: No significant loadings on last factors

I am using MPlus 7.0 to run a factor analysis on a set of survey item data measuring positive traits. I have used both oblique and orthogonal rotations and also have run it as a bifactor model. I ask for a 2 to 15 factor solution in each…
Vincent
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SEM: Robustness of fit indices (CFI, TLI and RMSEA) when data are non-normal

Because my data is not normally distributed, I used the Maximum Likelihood Robust Estimator (MLR) in Mplus. Now I know that this estimator produces a robust chi-square-statistic and robust standard errors, but does it also produce robust fit indices…
Hendrik
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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 information maximum likelihood (FIML) method, I selected REML=FALSE in the lmer package. I am getting same point estimates from two models. However the…
student_R123
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M-PLUS and HLM 7 for Hierarchical Linear Modeling

Many of my colleagues are considering using the M-PLUS package to carry out Hierarchical Linear Modeling, rather than the HLM 7 package. Both packages are designed by very well respected figures in the field of Hierachical Linear Modeling. Have…
StatisticsDoc Consulting
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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 different constructs. But, when I am using Structural…
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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 repeated measures and collected the data for all…
S. Sebastian
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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 that path analysis assumes multivariate normality…
tatami
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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 they are discrete, but also since the scores are…
Philipp
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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., Dep1, Dep2..) between (latent) groups (Group1…
JohnB
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High SRMR despite good fit based on other indices in SEM (latent growth curve)

Context: Latent Growth Curve Modeling for continuous variable with 15 time points. One intercept, two slopes (for first and second half of all time points). N=146, >90% data coverage, MLR estimator in MPlus, no covariates. Problem: High SRMR=0.20…
Sootica
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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 variable). Detailed problem and question: I am…
phx
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