Latent Class Analysis

From Displayr
Jump to navigation Jump to search

Latent class analysis is a technique for forming segments (groups) from data. It is essentially a sophisticated (better) version of cluster analysis.

In Displayr, latent class analyses are run by selecting Anything > Cluster > Latent Class Analysis.

Detailed technical information can be found on the Q Wiki. The two programs are identical, except that Q can analyze more data and has more advanced options.

Identify groups of similar observations (e.g. segments of people that have similar answers to the survey questions).