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1
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1answer
39 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. ...
0
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0answers
18 views

PROC LCA fail to calculate standard error

I am using PROC LCA in SAS to run latent class analysis on a dataset with 20 binary variables. However, I got such warnings: WARNING: The information matrix could not be inverted during standard ...
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0answers
28 views

Latent Class Analysis — 0.632+ Bootstrap vs. Bayesian LCA and Empirical Bootstrapping?

I am working on a project that involves the use of latent class analysis (LCA) and have been thinking about how best to perform variable selection (with relatively high-dimensional data [approximately ...
5
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3answers
162 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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0answers
26 views

Latent Class Analysis vs Rasch Analysis

I hope everybody is well :) 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 ...
0
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0answers
51 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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0answers
30 views

Latent Transition Analysis & Latent Class Analysis

What is Latent Transition Analysis (Or LTA) in Statistics? & What is different between LTA and Latent Class Analysis (LCA)?
2
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1answer
63 views

Latent Class Models

What is difference(Or relation) between "Latent Class Analysis"and Structural Equation models" and "Latent Growth Curve Models"?
2
votes
1answer
101 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 ...
0
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1answer
46 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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0answers
63 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
22 views

Cluster analysis of open-question responses

I am currently analysing a 1100-observation dataset of open-question responses. I was wondering whether I could really do a segmentation based on these responses. What I've done is so far is ...
1
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0answers
14 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
65 views

R choosing the right classification approach for $ transaction volume categories

Our customers are Merchants and use our online payment service. Before they started using our service, they indicated how much $ transaction volume they will make per year. However this turned out to ...
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0answers
62 views

What is the latent class in pLSA

I want to implement Probabilistic Latent Semantic Analysis(pLSA) in Python. I have searched many times but couldn't find a simple tutorial. ...
1
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0answers
232 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
votes
1answer
55 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 ...
4
votes
1answer
377 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 ...
2
votes
0answers
123 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 ...
3
votes
1answer
129 views
3
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0answers
88 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
134 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
433 views

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

I'm fitting a growth mixture model using the lcmm package: ...
5
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2answers
1k 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 ...
4
votes
1answer
717 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
votes
1answer
140 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 ...
3
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1answer
1k 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
331 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 ...
6
votes
1answer
440 views

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 ...
21
votes
5answers
3k views

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 ...