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  • 标题:ITA 2.0: A Program for Classical and Inductive Item Tree Analysis
  • 本地全文:下载
  • 作者:Martin Schrepp
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2006
  • 卷号:16
  • 期号:1
  • 页码:1-14
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要: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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