The CLASSI-N Method for the Study of Sequential Processes

Autor/inn/en	Gaer, Eva Vande; Ceulemans, Eva; Van Mechelen, Iven; Kuppens, Peter
Titel	The CLASSI-N Method for the Study of Sequential Processes
Quelle	In: Psychometrika, 77 (2012) 1, S.85-105 (21 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-011-9235-3
Schlagwörter	Stimuli; Responses; Psychological Studies; Sequential Approach; Individual Differences; Classification; Models; Mathematics + Suchen Sie Ihr Suchwort? Anreizsystem; Schrittfolge; Individueller Unterschied; Classification system; Klassifikation; Klassifikationssystem; Analogiemodell; Mathematik
Abstract	In many psychological research domains stimulus-response profiles are explained by conjecturing a sequential process in which some variables mediate between stimuli and responses. Charting sequential processes is often a complex task because (1) many possible mediating variables may exist, and (2) interindividual differences may occur in the relationship between these mediating variables and the response. Recently, Ceulemans and Van Mechelen ("Psychometrika" 73(1):107-124, 2008) addressed these challenges by developing the CLASSI model. A major drawback of CLASSI is that it requires information about the same set of stimuli for all participants (i.e., crossed data), whereas recently a number of data gathering techniques have been proposed in which the set of stimuli differs across participants, yielding nested data. Therefore we present the CLASSI-N model, which extends the CLASSI model to nested data. A simulated annealing algorithm is proposed. The results of a simulation study are discussed as well as an application to data concerning depression. (As Provided).
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Update	2017/4/10