Performing DISCO-SCA to search for distinctive and common information in linked data.

Publisher: Springer Country of Publication: United States NLM ID: 101244316 Publication Model: Print Cited Medium: Internet ISSN: 1554-3528 (Electronic) Linking ISSN: 1554351X NLM ISO Abbreviation: Behav Res Methods Subsets: MEDLINE

Publication: 2010- : New York : Springer
Original Publication: Austin, Tex. : Psychonomic Society, c2005-

Algorithms* ; Data Collection* ; Data Display* ; Software* ; User-Computer Interface*; Behavioral Research/*methods ; Information Storage and Retrieval/*methods; Computer Graphics ; Electronic Data Processing ; Humans ; Models, Theoretical ; Research Design ; Software Design

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.

Date Created: 20131102 Date Completed: 20140924 Latest Revision: 20181202

20231215

10.3758/s13428-013-0374-6

24178130