Questions tagged [latent-class]

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

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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 ...
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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 ...
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9 votes
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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 ...
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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 ...
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8 votes
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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 ...
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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 ...
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6 votes
2 answers
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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 ...
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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 ...
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1 answer
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Inferring the number of topics for gensim's LDA - perplexity, CM, AIC, and BIC

I am confused as to how to interpret the LDA's perplexity fluctuations with different numbers of topics, in the endeavour of determining the best number of topics. Additionally, I would like to know ...
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  • 381
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2 answers
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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 ...
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  • 351
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2 answers
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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 ...
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5 votes
1 answer
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Latent class model with both continuous and categorical indicators in R [closed]

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, ...
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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: ...
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4 votes
1 answer
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Difference Between Latent Class Analysis and Mixture Models

I have been trying to look into latent class analysis and don't exactly understand what it is. Is it basically the expectation maximization using and analyzing the classes formed? The resources on the ...
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1 answer
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Latent Class Models

What is difference(Or relation) between "Latent Class Analysis"and Structural Equation models" and "Latent Growth Curve Models"?
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1 answer
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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 ...
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1 answer
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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 ...
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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 (...
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Are these negative binomial regression results reasonable?

I did a negative binomial regression on a data set with 4 covariables. The count outcome has values up to 600. I did a mixture model with 2 components, also called a latent class model. However, I am ...
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3 votes
1 answer
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How do we correctly select the final number of classes in latent class analysis?

Hope this is not too basic: What Statistical, Mathematical methods do we use to determine number of classes and class membership in Latent Class Analysis?
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3 votes
2 answers
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How can you implement latent class analysis with distal outcomes in R?

I am looking to fit a fairly straightforward latent class analysis (LCA) model to derive phenotypes / clusters of a disease (in R). My dataset contains the manifest variables used to derive the ...
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3 votes
1 answer
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How does the EM algorithm operate when group label may be missing?

I have a set of data where the group label for a bunch of the data is missing. I know that there are 10 groups (integer 1 to 10): ...
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1 answer
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Can the items measure one underlying construct?

For an assignment I am asked to test whether different items (all dichotomous) can actually measure one concept. The items: Please tell me whether or not you think it should be possible for a ...
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3 votes
1 answer
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Choice based conjoint latent class analysis in R

How can we perform Latent class Analysis for choice based conjoint data, to both segment respondents and determine co-efficients for attributes at the same point of time? I know there is a package ...
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3 votes
2 answers
1k views

Create bins for lognormal data for cluster analysis

I have a series of dollar amounts that are highly right skewed, but are roughly log-normal. I want to put this grouped dollar amount as a predictor variable into a latent class cluster analysis. In ...
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3 votes
0 answers
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LCA - how to include predictors (conceptual difference between one-step and bias-corrected three-step approach?)

I am trying to teach LCA as part of a modelling course, but I haven't quite made sense of how to deal with testing whether certain (demographic variables) predict class membership. Question: (Why) ...
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3 votes
0 answers
611 views

Latent Class Analysis: What's the difference between polytomous vs. dichotomous manifest variables?

I am using poLCA in R to run a latent class analysis (LCA), and I'd like some help understanding the implications of using polytomous vs. dichotomous manifest ...
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3 votes
0 answers
108 views

Feature Selection in Mixture of Experts Model

I am just beginning to learn about Mixture of Experts Models, so I apologize if parts of my question are elementary. My understanding is that a MEM is a mixture model where the components are linear ...
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3 votes
0 answers
219 views

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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3 votes
0 answers
954 views

Latent class model [closed]

I have asked following questions before More than one outcome (dependent) variables in ordinal logistic regression How to handle more than one dependent variable (categorical) in logistic regression?...
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2 votes
3 answers
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Convergence of Latent Class Linear Mixed Model with LCMM in R

I am seeking help getting my latent class linear mixed models to converge using the LCMM package in R. I am studying common patterns of heroin and cocaine use over the life course of adults who have ...
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2 votes
1 answer
1k views

LCA not returning the same results with the same data

I'm pretty new to Latent class analysis, and I obviously still have a lot to learn. I have a data set with 10 000 observations and 20 variables. I'm trying plot the probabilities of each of my ...
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1 answer
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latent class model on choice data with gmnl - choosing starting values

I want to run a LCMNL (using the gmnl-package) on choice data. I read that starting values can influence class allocation since LCMNL can have several optima. I found the following example code that I ...
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2 votes
1 answer
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Why covariates are used in Latent class analysis (LCA)

I am trying to learn this relatively new statistical technique LCA. In literature i saw that for some LCA models, covariates are used. I am having a difficulty to understand why additional covariates ...
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2 votes
2 answers
624 views

Latent Class Analysis vs Rasch Analysis

I was wondering if anybody could explain the core, philosophical/conceptual differences between Latent Class Analysis and Rasch Analysis. I'm not necessarily referring to the exact mathematical ...
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2 votes
1 answer
75 views

Specifying starting values from previous class in flexmix

I am using the flexmix package in R to perform latent class analysis with covariates using model with 1 to 3 classes/components. For model with 3 classes, I'd like ...
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2 votes
1 answer
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Average marginal effects by hand?

I'm having trouble calculating average marginal effects by hand. I have the coefficients from Latent Gold (so if anyone knows how to get AMEs from that program, that would be helpful!). Otherwise, I ...
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2 votes
1 answer
272 views

(How) do I need to account for censored data in LCMM?

I have a large dataset of within-individual repeated measures, where each participant has varying number of observations (multiple rows of data for each participant). Missing data is largeley non-...
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2 votes
1 answer
429 views

latent class analysis which modifies "given a certain class, probability for a respondent to show observed response"

Context I am trying to model a latent class model, which i give a priori restriction for the class-specific probabilities I'm using an SP data, for which respondents chose an alternative in 3 ...
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  • 123
2 votes
1 answer
597 views

Mixture model on binary + continuous data

If I have a dataset of continuous variables (that I can assume are normally distributed), I can identify subgroups using a Gaussian mixture model and implement. Likewise if I have binary data I can ...
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2 votes
1 answer
119 views

Is this formula related to the energy function / boltzmann distribution?

I am reading research done in this thesis. On page 20-21 (section 2.1) of the thesis, it describes the following stochastic model: ... let us focus for the rest of this chapter on time-varying ...
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  • 533
2 votes
2 answers
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Interpretation of regression coefficients in latent class regression (using poLCA in R)

I am analysing data on symptoms, signs, and autopsy findings (a set of binary Y/N variables), viral serology, for several viruses, and a few other covariates (Age, gender, site) in pigs. After some ...
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2 votes
1 answer
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Does having expected distribution of values allow using a manifest variable with missing data in latent class analysis?

I need to identify cases of type 2 diabetes in a health care database for a specific population using latent class analysis (LCA). In addition to doctor's diagnosis of diabetes and the receipt of ...
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2 votes
1 answer
966 views

Is there a version of Latent Class Analysis with unspecified # of clusters

I understand that you can use the elbow method to plot LCA solutions vs log likelihood to figure out, at which k, it is no longer worth it to add more clusters. And I will resort to this if need be. ...
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2 votes
2 answers
1k views

Multinomial logistic regression analysis or binary logistic regression

I need to analyse data and am unsure whether or not I should use a multinomial logistic regression analysis or a binary logistic regression analysis. I have just conducted a latent class analysis and ...
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2 votes
0 answers
82 views

Adjusting for selection bias in a structural topic model

I want to build a structural topic model that adjusts for selection bias into the sample of entities about whom documents are written. I wanted to use the stm R ...
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2 votes
1 answer
81 views

Linear correlation with number of latent classes and BIC?

I have a dataset with almost 300 cases and 8 variable. Some are binary, some are ordinal variables with 4 to 5 categories. I am performing a hierarchial cluster analysis and latent class analysis in R....
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2 votes
0 answers
174 views

Does a latent class model become unstable with large samples and dimensions?

I have a dataset of approx 2million individuals with 40 dichotomous variables signifying presence or not of diseases (e.g heart disease, asthma, etc.) along with some sociodemographic info. I have ...
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2 votes
0 answers
178 views

Which cluster analysis for ordinal temporal data?

I would like to perform a cluster analysis but I’m not sure which is the best algorithm to apply to my data. My dataset is made of 200 cases (but the sample size can be enlarged). For each case, I ...
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2 votes
0 answers
558 views

How should outliers be dealt with in latent growth curve/GMM modeling?

When doing analysis of growth trajectories you often find natural outliers. Often these are not because of any "errors" in the dataset, they are simply there because certain cases grew at an explosive ...
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