Questions tagged [growth-mixture-model]

A growth mixture model is a latent variable model that *mixes* latent continuous (intercept & slope) variables with latent categorical (class) variables. It is used to identify latent populations within growth data.

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Growth mixture modelling with unequal number of measurements per individual

I have responses to a questionnaire item from a number of people, measured at equidistant timepoints. I wish to fit a growth mixture model (in R, using the LCMM package) to this data to find latent ...
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How are the classes determined in a growth mixture model?

I am trying to fit a growth mixture model to a set of trajectory data. I am using a model that on a generic level is the same as this one. I do understand how the latent intercept, linear, and ...
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How to test for significant differences between growth curves in repeated measures mixed-models?

I am comparing growth of fish in different habitats and since length and age data is derived from repeated measurements (back-calculations) I am using a mixed model (R, nlme). I have data from ~50 ...
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Measurement error models for non-differential misclassification with partially measured gold standard

We are facing a study where participants are to be followed longitudinally for a sensitive self-report question. Efforts were made to establish trust with participants, but part of the data collection ...
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156 views

A mixed effects model for learning curves

I have data for a time it takes an animal to fall off a rod (the longer the time the better the performance), which I collected three times a day over five consecutive days for the following balanced ...
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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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161 views

How to model LCGA with time-varying covariate

We have the following data set that contains: Variable $X$ - measures a proportion of young employees in an organization Variable $Y$- measures a proportion of young managers in the same ...
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Meta-analysis of growth mixture models

Is it possible to meta-analyze studies that have used mixture modelling to examine the same latent construct? What if the latent construct is measured differently between studies? EDIT: [These are ...
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63 views

Growth mixture models, "structural parameters", and using a parameter with variance fixed at zero as mediator in regression model?

I am examining a paper that uses growth mixture modeling. They have estimated intercept, linear slope, and quadratic growth parameters. They have also estimated random effects for the intercept and ...
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279 views

Log Transformation in Growth Mixture Model (Mplus user)

I am using parallel process growth mixture modeling to estimate bidirectional longitudinal dynamics between pain (0-100 theoretical range of values) and sleep measures (0-20 theoretical range of ...
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30 views

Compute posterior distribution of Gaussian likelihood and discrete uniform prior

I am trying to analytically compute the posterior distribution for a simple dataset. I have a multi-variate Gaussian likelihood and a discrete uniform prior. I am multiplying my prior with my ...
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Equality of variance when comparing growth trajectories in two groups

I am trying to compare growth trajectories of a variable in two groups. My question is simple: should I hold the variances of the slope and intercept factors equal across groups?
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How can I better interpret growth curve models?

I am doing growth curve model analysis in R, using lme4. I have doubts (well, many, but these are the most important). (1) When I get the intercept result, it is ...
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what exactly are level - 1 contrasts in determining factor effects in generalized linear models?

I am currently running a generalized linear model. As I have learned, the default contrasts of levels in factors lead to simple ...
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22 views

How do you differentiate between time-varying covariate versus nontime-varying covariate in growth mixture models/latent class growth analysis in r?

I am attempting to run a LCGA / GMM analysis in R but I am not sure how to control for time-varying covariates. I understand that R only has the capability to do the 1-step approach. Does this mean ...
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44 views

Pseudo-class regression for LGCA with multiply imputed data

I have fit a latent class growth analysis model (LGCA) using the lcmm package in R. I want to estimate a regression looking at predictors of class membership. I ...
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Doing a simple Growth Mixture- and Latent Growth Class analysis in R

I'm attempting to run a LCGA and GMM analysis in R, but I'm not sure how to go about it. The data I have is pretty simple, so let me explain that first. The dataset is provided by a number of ...