ITA 2.0: A Program for Classical and Inductive Item Tree Analysis

Martin Schrepp

Journal of Statistical Software, 2006, vol. 016, issue i10

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.

Date: 2006-09-06
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:016:i10

DOI: 10.18637/jss.v016.i10

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