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1answer
40 views

Best Clustering Technique for Probability Scores

I have a data which which have 17 variables i.e. 17-Dimension data. The Data is a result of Max-Diff exercise which is performed for ranking these 17 attributes and have comparative preference/...
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1answer
13 views

What is the best way to deal with missing data in latent class models?

What is the best way to deal with missing data in latent class models? For example, Latent GOLD can estimate models with missing data (LG technical manual page 51). Simply put, the likelihood ...
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0answers
34 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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0answers
19 views

poLCA: When covariates are used, some profiles are associated with more than one latent class

In poLCA package, the output of poLCA() includes (according to the package documentation): y = data frame of manifest variables. ...
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0answers
13 views

Question running poLCA in R

I am trying to run the poLCA program in R. I am running a model with 9 manifest variables, but the model only analyzes and produces output for 7 variables. This is the case no matter how many latent ...
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0answers
6 views

Interpretation coefficient class membership function in Latent class multinomial logit

can someone explain me how to interpret the intercept and the coefficient of membership function in a latent class choice model? I would say that the coefficient can be interpreted as the importance ...
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0answers
13 views

No convergence in Latent gold choice. Why?

I'm using Latent Gold Choice to estimante a LC model. The model performs well when up to three classes are considered. However, when I try with four classes I got a message of no convergence ("...
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0answers
15 views

How to classify new observations to class with parameters from latent class models?

I am using LatentGold to estimate latent class models (LCM). I wanted to create an equation using my parameters to classify new observations to classes. To do this, LatentGold explains that one has ...
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0answers
54 views

Alternative likelihood ratio tests in latent class analysis in R

I have recently submitted a paper in a journal, in which I use conventional LCA from the PoLCA package in R. The editor is not happy with the use of the G-squared likelihood ratio test, and requests ...
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0answers
112 views

Comparing AIC/BIC Between Continuous (CFA) and Categorical (LCA) Latent Models

Some colleagues and I have a set of variables that we would like to represent more parsimoniously/latently. Originally, my colleagues used an exploratory and confirmatory factor-analysis approach to ...
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1answer
40 views

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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0answers
37 views

Latent Class Analysis (LCA)

I'm trying to make a model for finding classes with 4 dichotomous variables and 3 co-variates (age, gender and active/inactive). I can't understand how can I interpret the probability of membership of ...
0
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1answer
72 views

Predicting cluster probabilities/ cluster membership for new cases from Mplus output

I used Mplus to perform a latent class analyses/finite mixture analyses with categorical and continuous indicator variables. I obtained a well defined 5 cluster solution. I would like now to predict ...
0
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1answer
57 views

Latent class multinomial logit model doubt

This is a stupid question as I'm approaching to latent class model for the first time. Reading some applications, I can't understand one basic thing. In modelling latent class the respondent have one ...
2
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1answer
70 views

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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0answers
47 views

The fit of latent class analysis

The results section of a study investigating disease pattern using latent class analysis states that The drop in likelihood ratio G2 relative to the drop in degrees of freedom is substantial ...
0
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1answer
113 views

Is there a possibility to fix parameters in the R package poLCA?

I'm using the R package poLCA to compute a latent class analysis with 3 dichotomous variables. As I assume 4 classes, the degrees of freedom are negative. ...
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0answers
85 views

How to find most important variable in an latent class analysis (poLCA) R model

I am using poLCA library as implemented in R. There are some other latent class implementations that help determine most significant variables either by p value or R^2 value. I do not see these ...
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1answer
290 views

Latent class analysis order classes

I am performing a latent class analysis with covariates. I want to calculate the predicted probabilities for the membership to different classes. However, if the order of the classes changes (as I ...
2
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1answer
130 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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1answer
103 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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0answers
217 views

Principled way of collapsing categorical variables with many categories

What techniques could I use to optimize the collapsing of many categories to a few, for the purpose of using them as an input to a statistical model? Consider a variable like college student major. ...
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0answers
137 views

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 ...
0
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1answer
68 views

Multicollinearity in binary logistic regression analysis after latent class analysis

I am attempting to conduct a binary logistic regression but I have come to a roadblock relating to multicollinearity. I originally conducted a latent class analysis which resulted in the ...
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2answers
178 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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0answers
95 views

confirmatory latent variable cluster analysiswith mplus

I would like to do a confirmatory latent class cluster analyses (finite mixtures) with a continuous and several categorical variables. I know how I can constrain binary variables (such as Cluster A ...
2
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1answer
178 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 ...
1
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1answer
80 views

Easy and common way to separate latent classes from Likert-scale survey?

Let say, there are two 5-points Likert-scale questions "How do you like a flavor?" applied for two product samples. That is, each respondent tries two samples and evaluate them on Likert scale. ...
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3answers
8k views

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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2answers
187 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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2answers
246 views

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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1answer
198 views

Latent Class Models

What is difference(Or relation) between "Latent Class Analysis"and Structural Equation models" and "Latent Growth Curve Models"?
5
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2answers
580 views

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 ...
1
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2answers
216 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 ...
2
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1answer
468 views

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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0answers
23 views

Is there an extension of multinomial process models that can model several dependent variables?

In the setting of psychological experiments, where a categorical response has to be given, the same response can, in theory, be generated by different latent processes. For example, in an experiment ...
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0answers
457 views

How to find cutoff values in multinomial regression?

Updated I have a data set with five continuous variables measuring an index in a population. For finding underlying classifications in the population based on the five observed variables, I did a ...
2
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1answer
75 views

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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1answer
848 views

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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0answers
228 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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1answer
223 views
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0answers
121 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 ...
2
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0answers
225 views

How would you preprocess data for SVD?

I am computing SVD on a matrix which is the empirical version of $E[XY^{\top}]$ for some $X \in \mathbb{R}^{m \times 1}$ and $Y \in \mathbb{R}^{n \times 1}$. I am wondering if there are standard ways ...
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0answers
636 views

Fitting a growth mixture model using lcmm (R package) - encountering difficulties

I'm fitting a growth mixture model using the lcmm package: ...
8
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2answers
3k views

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 ...
5
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1answer
1k views

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, ...
3
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1answer
220 views

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 ...
5
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1answer
2k views

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 ...
3
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0answers
485 views

Latent class model

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?...