| Vol. 25 | Vol. 24* | Vol. 23 | Vol. 22* |
| Vol. 21 | Vol. 20* | Vol. 19 | Vol. 18* |
| Vol. 17 | Vol. 16 | Vol. 15 | Vol. 14 |
| Vol. 13* | Vol. 12 | Vol. 11 | Vol. 10* |
| Vol. 9 | Vol. 8 | Vol. 7 | Vol. 6 |
| Vol. 5 | Vol. 4 | Vol. 3 | Vol. 2 |
| Vol. 1 | |||
| * = Special Volume | |||
| Authors: | Martin Schrepp |
| Title: | [download] (831)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] (831)ITA 2.0: A Program for Classical and Inductive Item Tree Analysis (application/pdf, 384 KB) |
| Supplements: | [download] (92)ITA_2.0.zip: Program (application/x-zip-compressed, 412.6 KB) |
| Resources: | BibTeX | OAI |