Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
ITA 2.0: A Program for Classical and Inductive Item Tree Analysis | Schrepp | Journal of Statistical Software
Authors: Martin Schrepp
Title: ITA 2.0: A Program for Classical and Inductive Item Tree Analysis
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.

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Paper: ITA 2.0: A Program for Classical and Inductive Item Tree Analysis     Download PDF (Downloads: 4402)
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DOI: 10.18637/jss.v016.i10

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