[讨论]Latent Class Analysis?

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Dear listers,

In my brief research on this topic, it appears that this is not offered in SPSS, but that one needs a program like Latent GOLD. Is that correct?

Also, for those with experience in the topic - what software do you use? And have you found significantly different results/ is it easier to obtain your results using LC Analysis versus other segmentation techniques (e.g., Factor, Cluster, Regressions, CHAID, etc.)?

Before I rush out and buy more software, can anyone provide some real-world perspective?

Thanks, Nico

--
Nico Peruzzi, Ph.D.

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关键词：Analysis Analysi Analys alysis Latent Analysis 讨论 Latent Class

Many years ago, at least 20, I remember hearing that latent class was another name for a kind of clustering or conjoint analysis I suggest that you describe your data here and your goals. Are you interested in a single set of classes (a slice of a tree maybe?) or a "tree". Do you want a tree that shows when a case is combined with successive clusters? (A hierarchical partitioning of clusters.) Or do you want a tree like CHAID produces? or . . . Or do you want something analogous to Discriminant analysis where you have an explained nominal level variable and some variables you want weighted or broken into a prediction tree or . . .? Once you describe your data and goals, it would be easier to for others on the list to suggest approaches in SPSS or elsewhere. If we cannot adequately answer your refined question, you might post a query on the Classification Society discussion list. Class-l. go to the society that specializes in this kind of analysis

http://www.classification-society.org/csna/csna.htmlto learn about the organization go to http://www.classification-society.org/csna/lists.html#class-lto learn about the mailing list. Art Art@DrKendall.orgSocial Research Consultants

[此贴子已经被作者于2005-10-27 8:59:43编辑过]

Thanks to all for the responses. I'm in the beginning stages of exploration, so no concrete examples of use cases yet.

In the meantime, can anyone recommend a book which covers LCA in a relatively accessible way?

Thanks, Nico

Latent class analysis is more akin to factor analysis than cluster analysis. Latent class is part of the more general latent structure analysis first developed by Paul Lazarsfeld in the 1950s (see his book with C. Henry (the initial for Henry may be wrong, I may be misremembering), titled Latent SAtructure Analysis, for a complete explanation. Unlike cluster analysis, LSA is based on covariance of observed binary items. LSA looks for a latent variable explaining covariance between a set of binary items. The latent variable could be interval, ordinal or categorical, each obtained through different algorithms. Quite useful for scale construction. Only one latent variable extracted, unlike factor analysis which is able to extract more than one.

Hector

Try "Applied Latent Class Analysis" edited by Jacques Hagenaars and Allan McCutcheon, published by Cambridge University Press. Also, www.statisticalinnovations.com has some good tutorials with accompanying demo datasets. Anthony Babinec

Hi there. Can someone explain me what's: zero-inflated Poisson model. Is it mixture of two distributions 1) one Poisson distribution 2) the other is particular distribution like Bernoulli 0 whith P_o, and 1 whith P_1=1-P_o? And how are they mixted? Additive mixture: one + the other or multiple :one*the other ?

Thanks!

Barrere.

I have it on pretty good authority that it's pretty difficult to obtain solutions for LCA and growth mixture models (GMMs) even when you have as many as 500 cases. My source (a former post-doc of Bengt Muth閚, an author of MPlus) was/is working with a student on GMM simulations, and he has found that unless the data are *very* well-behaved, you need several hundreds of cases to get a stable model. With your sample size and 30(!) variables, I'm not surprised to hear about your problem. Is there any way you can drop and/or combine some of your covariates or otherwise simplify your model?

Good luck!

Mike

Dear Users,

I am desperately trying to fit a zero-inflated Poisson model with latent classes by using SAS. Can anyone help?

I have a data set that has 399 observations in it. In data set, I have 4 dependent variables, 25 covariates and one control variable. I have got problem when I tried to run latent class analysis with Mplus. With Mplus, classification based on means seems OK. Classification based on means, variance and residual, however, had converge problem. Outcomes in dependent variables are categorical and range 0 - 6 and clearly zero-inflated. I tried run PROC TRAJ in SAS (Jones et al.,) but this procedure doest work on 8.0. I need run SAS for following models,

Models will be 1) Yi =3DMean + F1 + ei F1=3D x1+x1+.......x25

2) Yi =3DMean + F1 + Controlvariable + ei F1=3D x1+x1+.......x25

Thanks in advance,

Hayretti

[此贴子已经被作者于2005-10-28 8:58:49编辑过]

If you are doing a true latent class analysis, then you don't know which groups the consumers are in and you wish to make inferences about it. Latent class analysis is an inferential cluster analysis in a sense. Mplus will do it. Freeware, WINLTA, stands for Windows latent transition analysis, is available from Penn State through Linda Collins. http://methodology.psu.edu/downloads/winlta.html. Even though its called latent transition analysis, it will also do latent class analysis.

Paul R. Swank, Ph.D. Professor, Developmental Pediatrics Medical School UT Health Science Center at Houston

I am trying to estimate a latent class choice model. I think there are two groups of consumers 1 and 2 and they derive different forms of utilities from choosing a product. Assume there are J products. If a consumer belongs to type I, he derives utility of the form U(1,j)= function1 (product j); If she belongs to type II, he/she derives utility of the form U(2,j)= function2 (product j);Now, I don't whether a consumer is of type I or tye II. I would like to use a binary logit to model the probability of a consumer belonging to either of the segment.Can PROC NLMIXED handle this? If so, can you suggest a code?

I'm sure that PROC NLMIXED can do it. But, if you're really working with latent variablers models, then why don't you take a look at PROC CALIS, which is designed with such problems in mind.

HTH, David -- David Cassell, CSC Cassell.David@epa.gov Senior computing specialist mathematical statistician