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10 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 ...
0
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0answers
82 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 ...
2
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1answer
33 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
24 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 ...
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1answer
43 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 ...
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1answer
36 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
67 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
32 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
63 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
62 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
192 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 ...
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0answers
17 views

Test significanct differences across segments in a Latent Class?

I did a latent class (2 segments) on a group of people, suppose the segment size is n1 and n2, and parameter for each segment is b1 (with s1 the standard error) and b2 (with s2 the standard error). ...
2
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1answer
111 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
64 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. ...
3
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0answers
127 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
23 views

What method of analysis should I use: Hierarchical class analysis?

I have used content analysis to examine a sample of 20 passages using 24 variables. In other words my coders read the passages and indicated whether or not a variable was present (1) or not (0) in the ...
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0answers
107 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
59 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
133 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
90 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
159 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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1answer
72 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
5k 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
139 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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0answers
172 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 ...
3
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1answer
160 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
435 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 ...
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2answers
166 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
336 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

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
394 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
74 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
711 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
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0answers
195 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
184 views
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116 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
207 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
594 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
199 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 ...
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0answers
458 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
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1answer
541 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 ...
25
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5answers
4k 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 ...