| Authors: | Martin Schrepp |
| Title: | [download] (3329)ITA 2.0: A Program for Classical and Inductive Item Tree Analysis |
| Reference: | Vol. 16, Issue 10, Sep 2006 Submitted 2005-12-14, Accepted 2006-09-06 |
| Type: | Article |
| Abstract: | Item Tree Analysis (ITA) is an explorative method of data analysis which can be used to establish a hierarchical structure on a set of dichotomous items from a questionnaire or test. There are currently two different algorithms available to perform an ITA. We describe a computer program called ITA 2.0 which implements both of these algorithms. In addition we show with a concrete data set how the program can be used for the analysis of questionnaire data. |
| Paper: | [download] (3329)ITA 2.0: A Program for Classical and Inductive Item Tree Analysis (application/pdf, 384 KB) |
| Supplements: | [download] (941)ITA_2.0.zip: Program (application/x-zip-compressed, 412.6 KB) |
| Resources: | BibTeX | OAI |
