The CHIC model: A global model for coupled binary data

Tom Wilderjans*, Eva Ceulemans, Iven Van Mechelen

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review


Often problems result in the collection of coupled data, which consist of different N-way N-mode data blocks that have one or more modes in common. To reveal the structure underlying such data, an integrated modeling strategy, with a single set of parameters for the common mode(s), that is estimated based on the information in all data blocks, may be most appropriate. Such a strategy implies a global model, consisting of different N-way N-mode submodels, and a global loss function that is a (weighted) sum of the partial loss functions associated with the different submodels. In this paper, such a global model for an integrated analysis of a three-way three-mode binary data array and a two-way two-mode binary data matrix that have one mode in common is presented. A simulated annealing algorithm to estimate the model parameters is described and evaluated in a simulation study. An application of the model to real psychological data is discussed.

Original languageEnglish
Pages (from-to)729-751
Number of pages23
Issue number4
Publication statusPublished - 1 Dec 2008
Externally publishedYes


  • Binary data
  • Clustering
  • Coupled data
  • Data fusion
  • Hierarchical classes
  • Multi-way data analysis
  • Three-way three-mode data


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