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Title: Extending the CLASSI model for the study of individual differences in sequential processes: from crossed to nested data
Authors: Vande Gaer, Eva
Ceulemans, Eva
Van Mechelen, Iven
Kuppens, Peter #
Issue Date: 20-Nov-2009
Conference: IAP workshop edition:2009 location:Heverlee date:19-20 November 2009
Abstract: In this paper we will focus on the modeling of binary data regarding individual differences in the responses
(f.e. behaviors, emotions,) that people display in reaction to specific stimuli (f.e. situations, objects,).
Underlying such data, psychologists typically assume a sequential process with two links: stimuli activate
specific mediating variables (f.e. appraisals, action tendencies,) (link 1); subsequently, specific patterns of
activated mediating variables elicit a particular response (link 2). It is further hypothesized that these two
sorts of links may differ across persons. An important challenge then consists of retrieving the place and
the nature of the key individual differences in the process under study. To meet this challenge, Ceulemans
and Van Mechelen (2008) recently introduced the CLASSI model. However, the CLASSI model requires
the persons and stimuli to be fully crossed, implying that for each person information has to be available
about the same set of stimuli. This is a major restriction since not all stimuli are equally relevant for
every person. To overcome this restraint we propose an extension of the CLASSI model which permits
the set of rated stimuli to differ across persons, implying that the stimuliare nested within persons rather
than crossed. Like the original CLASSI model for crossed data, the new CLASSI model for nested data
(1) reduces the mediating variables and persons to a few types, and (2) defines linking structures between
the stimuli and the mediating variable types on the one hand and the appraisal types and response on the
other hand, which represent individual differences in these two sorts of links.
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Methodology of Educational Sciences
Quantitative Psychology and Individual Differences
# (joint) last author

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