CHAID software description
CHAID is a powerful product in the field of Latent Class analysis and an addition to Latent GOLD and Latent GOLD Choice. Please have a look at the new features in CHAID 4.0 and all other things that relevant. CHAID is also known as SI-CHAID.
New features in SI-CHAID 4.0
* extension to multiple dependent variables in conjunction with either of our sister products Latent GOLD® 4.0 and/or Latent GOLD Choice ® 4.0
* the ability to save entire trees or tree branches - allows additional applications such as the use of a holdout sample for validation
Extension to multiple dependent variables with CHAID
Often segmentation is desired that is predictive of not one but multiple criteria. For example, in database marketing, dependent variables might include 1) response to the most recent mailing (responder vs. nonresponder), 2) response to past mailings, 3) the amount spent, 4) profitability, and possibly others. It is now possible to obtain CHAID segmentation trees that are predictive of multiple dependent variable criteria. In addition, these dependent variables may be continuous, ordinal, nominal, or count variables, or any combination of these!
In the groundbreaking new article -An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables-, Magidson and Vermunt (2005) show this is possible. The key is to use latent classes as a proxy for the multiple dependent variables. This can be done with Latent GOLD® 4.0 when the dependent variables are used as indicators in a latent class cluster or factor model, or it can be done with Latent GOLD Choice ® 4.0 when the dependent variables are choices obtained from a discrete choice study.
Each of our flagship modeling tools Latent GOLD® 4.0 and Latent GOLD Choice ® 4.0 provide a direct link to SI-CHAID® 4.0. With this option, a CHAID Definition (.chd) file is automatically generated immediately following model estimation which can then be used as input to SI-CHAID® 4.0.
To see how this works:
* download the article
* view a tutorial where a CHAID tree is developed that is predictive of 11 dependent variables in conjunction with Latent GOLD® 4.0 (SI-CHAID® tutorial #4)
* view a tutorial from Latent GOLD® 4.0 where a CHAID analysis is used with a discrete factor model to better understand the factors (LG tutorial #4)
LatentGOLD, SI-CHAID, and GOLDMineR are registered trademarks of Statistical Innovations Inc., Belmont MA. USA.
Learn more about Latent Class Modeling
Latent class (LC) modeling, also known as Finite Mixture Modeling, provides a powerful way of identifying latent groups (types) for which parameters in a specified model differ. Latent GOLD® 4.0, the most windows-friendly program for latent class modeling, focuses on the three most important kinds of statistical models used in practice - cluster, factor and regression. Latent GOLD® 4.0 dramatically expands your capacity for identifying latent classes and, through the CHAID link, seamlessly integrates with SI-CHAID® for unprecedented "two-in-one" modeling capability.
Latent GOLD® 4.0 has the same easy-to-use layout and structure as SI-CHAID®, with intuitive controls, breakthrough graphical displays, and extensive Help structure. Explore and analyze your model, and then, with a click of a button, save the output as a SI-CHAID® input file for further analysis.
Learn more about Latent GOLD 4.0:
* Download the Latent GOLD® 4.0 demo program and accompanying tutorials.
* Download the complete Latent GOLD® 4.0 User's Guide.
* Download the Latent GOLD® 4.0 Technical Guide
Learn more about SI-CHAID 4.0:
* Use of a holdout sample in SI-CHAID® 4.0.
* Download the SI-CHAID® 4.0 demo program and accompanying tutorials.
* Download the complete SI-CHAID® 4.0 User's Guide.
* Download article describing multiple dependent variable feature in SI-CHAID®
* View the graphical output of SI-CHAID®
Download CHAID demo versions, tutorials, and other documentation!
For downloading demo versions, tutorials, and other documentation, please visit the website of Statistical Innovations. The address is www.statisticalinnovations.com
Ordering
For price information and ordering, please visit the Prices and Ordering Page
Manufacturer page
Science Plus Group is a distributor for this product. You can also visit the Statistical Innovations website, the manufacturer of this product.
