Q is for the analysis of survey data. It is the only software with basic tables and coding right through to choice modelling, latent class analysis and trees.

It is fast and smart. Q will halve your analysis times. Expert systems work out the most useful analyses based on the data. Drag-and-drop to recode and collapse categories. Export straight to Microsoft Office. Analyses automatically update when you import updated data.

Q is very easy to use with its self-guided online training system and an easy to use interface. Find out more, or trial Q Professional for 30 days.

Latent Class Analysis

by Tim 31. May 2010 10:47

Latent class analysis finds groups in data.  It is most commonly used for market segmentation. 

Latent class analysis is a big improvement on cluster analysis.  It automatically deals with missing data; even if there are lots of “don’t know” responses, each person is still assigned to a segment.  It accommodates all the different types of data: numeric, categorical, rankings, multiple response, conjoint and other types of experiments.   

The figure below show’s Q’s graphical representation of segmentation, with bars showing categorical data and histograms representing numeric data. 

 

In Q4, latent class analysis is conducted by clicking on the Create menu and selecting Segments; contact support@q-researchsoftware.com for a free upgrade to Q4.

An online tutorial explains how to use latent class analysis.  From the Help menu in Q, select Online Training, sign in, then go Multivariate Techniques, Segments and Latent Class Analysis.

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