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Title: Performing DISCO-SCA to search for distinctive and common information in linked data
Authors: Schouteden, Martijn
Van Deun, Katrijn ×
Wilderjans, Tom
Van Mechelen, Iven #
Issue Date: 2014
Publisher: Psychonomic Society
Series Title: Behavior Research Methods vol:46 issue:2 pages:576-587
Abstract: Behavioral researchers often obtain information about the same set of entities from different sources. A main challenge in the analysis of such data is to reveal, on the one hand, the mechanisms underlying all of the data blocks under study and, on the other hand, the mechanisms underlying a single data block or a few such blocks only (i.e., common and distinctive mechanisms, respectively). A method called DISCO-SCA has been proposed by which such mechanisms can be found. The goal of this article is to make the DISCO-SCA method more accessible, in particular for applied researchers. To this end, first we will illustrate the different steps in a DISCO-SCA analysis, with data stemming from the domain of psychiatric diagnosis. Second, we will present in this article the DISCO-SCA graphical user interface (GUI). The main benefits of the DISCO-SCA GUI are that it is easy to use, strongly facilitates the choice of model selection parameters (such as the number of mechanisms and their status as being common or distinctive), and is freely available.
ISSN: 1554-351X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Methodology of Educational Sciences
Quantitative Psychology and Individual Differences
× corresponding author
# (joint) last author

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