latent class analysis

  1. A

    Latent Class Analysis - How to identify the main drivers?

    Hi All! I ran a LCA to identify the best possible segmentation of classes in a population. I used Latent Gold for this and imported the clusters later in to SPSS for some comparisons and calculation. I am a bit stuck with the following questions: Are there any metrics which indicate which of...
  2. F

    Choice-based conjoint (CBC) - randomized design

    I need some advice re/ randomized designs in CBC: In my CBC, I have n = 220 and 10 pair-wise comparisons, i.e., each respondent evaluates 20 choice options in 10 choice tasks. Each choice options has 5 attributes á 3 levels. In my pre-study, I used a d-optimal fractional design generated by...
  3. C

    R code for multilevel latent class model

    Dear all, I am not able to find a reliable r code to run a multilevel latent class model. Indeed, I have to analyze how social trust (three variable form the ESS survey) might vary between countries (21 countries in my database). I tried to use the poLCA package but I am not sure if my code...
  4. A

    Latent class cluster analysis with mixed data

    I have data that contains continuous and categorical variables and I have to cluster that data using latent class analaysis - LCA. I know that LCA sometimes mean that manifest variables are categorical but I read that programs like LatentGold know how to hande both types of data when clustering...
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    Latent Class Analysis with lclogit and gllamm-wrapper lclogitml

    Latent Class Analysis in Stata (llclogit, lclogitml, gllamm) Hi all, I am having trouble fitting a latent class model with Stata. I have a panel data set from an online discrete choice experiment. Each respondent was represented 12 choice sets with 2 alternatives and, therefore, had to...
  6. R

    Latent class analysis using runmplus with Stata

    Latent class analysis using gllamm or runmplus with Stata I would like to perform a latent class analysis on my dataset using the runmplus package in Stata. Briefly this is what my database looks like N=6000 ID age gender [continuous variables] var1-var5 [binary variables] var6-var10...