Title: A two-mode clustering method to capture the nature of the dominant interaction pattern in large profile data matrices
Authors: Schepers, Jan ×
Van Mechelen, Iven #
Issue Date: Sep-2011
Publisher: American Psychological Association
Series Title: Psychological Methods vol:16 issue:3 pages:361-371
Abstract: Profile data abound in a broad range of research settings. Often it is of considerable theoretical
importance to address specific structural questions with regard to the major pattern as included in such
data. A key challenge in this regard pertains to identifying which type of interaction (double ordinal,
mixed ordinal/disordinal, double disordinal) most adequately fits the major pattern in a profile data set
at hand. In the present article a novel methodology is proposed to deal with this challenge. This
methodology is based on constrained and unconstrained versions of a recently introduced 2-mode
clustering model, the real-valued hierarchical classes model. The methodology is illustrated using
empirical Person  Situation profile data on altruism.
ISSN: 1082-989X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Quantitative Psychology and Individual Differences
× corresponding author
# (joint) last author

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