Dear R-experts, I am currently writing my theses about what - else but price - drives low cost carriers` buying behavior. To evaluate the collected choice-based conjoint data, I have to perform a latent class analysis. I have found the package poLCA, but somehow I don`t get the output I need... According to what I have read about latent class analysis so far, the LC output should contain 1) The relative size of the segments (which I obtained with poLCA) 2) The segementspecific parameters for each latent class/segment (in order to see if and how they differ in their drivers of buying behavior) 3) A classifiaction of participants as to which class the belong with a certain probability (to be able to assign them to the clsses and profile the segment) Unfortunately, I cannot find the 2) and 3) information in the poLCA-output, and I don`t know how to deal with the conditional response probabilities I obtain with the package- can they maybe be used to obtain the segmentspecific parameters? Or is the program generally not designed to do this? Another problem is that I don`t know in which form the input file needs to be, since none of the examples deals with choice-based conjoint data. I have data in the following form, assumed 4 attributes, each with two levels, and each choice can be described by the chosen alternatives levels: ID A1 A2 A3 A4 1 1 2 2 1 1 1 1 1 2 1 2 2 1 1 etc. Do I maybe need to perform frequency counts? I am a real "greenhorn" concerning R , so I am quite desperate and hope for your help. Thank you so much! Janina -- View this message in context: http://www.nabble.com/Please-help%3A-Latent-class-analysis-with-poLCA-tp19901303p19901303.html Sent from the R help mailing list archive at Nabble.com.