Questions tagged [mplus]
Mplus refers to a commercial statistical modeling program for general statistical analysis.
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Change from listwise to pairwise deletion changes impact of the one variable with missings in otherwise unchanged SEM model - why?
I am puzzled and very much hope that somebody here can help me.
I calculated a SEM model in which teenagers' grades were modelled as one predictor (among several) for receiving a recommendation for a ...
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1answer
20 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:
...
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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 ...
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1answer
53 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 ...
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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 ...
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1answer
46 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 ...
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70 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 ...
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1answer
62 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 ...
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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 (...
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67 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/...
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1answer
155 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 ...
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1answer
401 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). ...
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108 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 ...
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1answer
68 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 ...
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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 ...
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1answer
329 views
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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193 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 ...
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1answer
454 views
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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1answer
722 views
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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1answer
701 views
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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1answer
955 views
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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181 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 ...
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1answer
3k views
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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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 ...
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1answer
787 views
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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1k 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'...
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432 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. ...
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108 views
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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1answer
51 views
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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1answer
247 views
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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1answer
1k views
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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2answers
3k views
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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1answer
2k views
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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2answers
159 views
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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1answer
650 views
Sample-adjusted meta-analytic deviancy macro/syntax for Excel, SPSS, MPLUS
I need to compute the sample-adjusted meta-analytic deviancy (SAMD) as part of an outlier search with meta-analytic data. Because we have a very large amount of meta-analytic data, computing this ...
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1answer
348 views
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 ...
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1answer
214 views
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 ...
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3k views
Comparing SEM software apps: AMOS vs Stata vs Mplus vs R -— opinions please? [closed]
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 ...
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1answer
4k views
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 ...
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624 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 ...
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1answer
85 views
Team diversity measure as time invariant predictor of latent growth curve
I am specifying a latent growth curve model in MPLUS with a time-invariant predictor of the growh curve.
The time-invariant predictor is a team diversity measure (standard deviation) which is based ...
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1answer
2k views
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 ...
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1answer
3k views
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 ...
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1answer
1k views
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 ...
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2answers
649 views
Problem with multiple group CFA with censored variables using Mplus
I'm having problems running a multigroup CFA in Mplus for my dissertation, based on the established 4-factor model of the Hamilton Depression Scale (21 items). My dataset includes 4 left censored ...
