title: A two-mode clustering method to capture the nature of the dominant interaction pattern in large profile data matrices.
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.
authors: Department of Psychology, Katholieke Universiteit Leuven, Leuven, Belgium. jan.schepers@maastrichtuniversity.nl
authors: Jan
authors: J
authors: Schepers
authors: Iven
authors: I
authors: Van Mechelen
mesh_terms: D000533:Altruism; D035841:Behavioral Research / Q000379:methods*; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D006801:Humans; D007398:Interpersonal Relations; D015233:Models, Statistical; D011584:Psychology / Q000379:methods