Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [latent-class]

A latent class model has a number of categorical manifest variables and one or more categorical latent variables.

A succinct account is given in the Wikipedia article https://en.wikipedia.org/wiki/Latent_class_model Other forms of latent variable methods exist where either the latent variable(s) are assumed continuous (finite mixtures) or the manifest variables can be continuous (titem response methods) or both (factor analysis).

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Latent Class Analysis vs. Cluster Analysis - differences in inferences?

What are the differences in inferences that can be made from a latent class analysis (LCA) versus a cluster analysis? Is it correct that a LCA assumes an underlying latent variable that gives rise to the classes, whereas the cluster analysis is an…
Brian P
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Modelling longitudinal data where the effect of time varies in functional form between individuals

Context: Imagine you had a longitudinal study which measured a dependent variable (DV) once a week for 20 weeks on 200 participants. Although I'm interested in general, typical DVs that I'm thinking of include job performance following hire or…
Jeromy Anglim
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Visualizing results from multiple latent class models

I am using latent class analysis to cluster a sample of observations based on a set of binary variables. I am using R and the package poLCA. In LCA, you must specify the number of clusters you want to find. In practice, people usually run several…
D L Dahly
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Which R package to use to conduct a latent class growth analysis (LCGA) / growth mixture model (GMM)?

I am trying to perform a latent class growth analysis (LCGA) and/or growth mixture models (GMMs) in R. The data I am using is an increasing number of forks of git repositories (discrete variable, not categorical), as you can see in this dataset. I…
histelheim
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What are the primary differences between Taxometric analyses (e.g., MAXCOV, MAXEIG) and Latent Class analyses?

Recent research has attempted to determine if certain psychological constructs are latently dimensional or taxonic (i.e., including taxons or classes). For example, researchers may be interested in finding out if there is a certain "class" of people…
Behacad
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In LDA, how to interpret the meaning of topics?

I am studying Latent Dirichlet Allocation (LDA) model, and I found some explanations around the web (for example here on Quora.com). In the link examples, I can clearly see which are the topics author is talking about (food and cute animals). I…
DavideChicco.it
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Inverse logistic regression vs. repeated-measures vs. latent class?

As the title suggests, I'm pretty well befuddled about which approach makes the most sense for my data. Let me try to succinctly explain the problem. I have binary choice data representing whether a specific person for a specific event took the…
ian242
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Favored methods for overcoming selection bias (special attention to healthcare fields)?

I am frequently measuring the effect of behavioral health treatment interventions on outcomes of interest. However, comparing the relative efficacy of different types of treatment is tricky - more intensive interventions may indicate clients with…
ShannonC
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How to arrive at class probabilities for each case in a GMM using R/OpenMX

I'm fitting a GMM using OpenMX: # Load OpenMx library(OpenMx) # Growth Mixture Model data(myGrowthMixtureData) names(myGrowthMixtureData) class1 <- mxModel("Class1", type="RAM", manifestVars=c("x1", "x2", "x3", "x4",…
histelheim
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Latent class model with both continuous and categorical indicators in R

I have question regarding which R-package to use to create a latent class/mixture model with both categorical and continuous indicator variables. I have not yet found a good example of this using R, even though there are a lot of mixture and latent…
E_J
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Need help with Latent Transition Analysis

I am new to this site, so my apologies if I am not asking the question the right way for this site. I am actually trying to understand Latent Class Analysis & Latent Transition Analysis. I have read a few articles. I found ProcLTA and ProcLCA in…
nasia jaffri
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LCA number of parameters & degrees of freedom

I have a series of physicians' claims submissions. I would like to perform cluster analysis as an exploratory tool to find patterns in how physicians bill based on things like Revenue Codes, Procedure Codes, etc. The data are all polytomous, and…
NiuBiBang
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Discrete latent variables in Bayesian Network

I am creating a Bayesian Network where all nodes are discrete. Using the available data, I have learned the structure of the network using the Hill-Climb algorithm (hc() function in bnlearn package in R). Now, I wanted to introduce two discrete…
zvovov
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AIC and BIC in Latent class analysis

I am using the Latent Class Analysis feature available in Stata 15. The two statistical criterions gave me different indications: $AIC$ suggests me to use 6 classes, instead $BIC$ suggests to use 5 classes. Is this discordance unusual or not? Which…
Andrea
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Finding "weak ties" in network data

So I am working on a new project looking at formal and informal networks between businesses in the same industry. Namely, I am looking at joint ventures, fractional acquisitions, minority share ownership, and board of director relationships between…
krishnab
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