Generalized processing tree models: Jointly modeling discrete and continuous variables


Heck, Daniel W. ; Erdfelder, Edgar ; Kieslich, Pascal J.



DOI: https://doi.org/10.1007/s11336-018-9622-0
URL: https://link.springer.com/article/10.1007/s11336-0...
Additional URL: https://www.researchgate.net/publication/325022582...
Document Type: Article
Year of publication: 2018
The title of a journal, publication series: Psychometrika
Volume: 83
Issue number: 4
Page range: 893-918
Place of publication: New York, NY
Publishing house: Springer Science + Business Media
ISSN: 0033-3123 , 1860-0980
Publication language: English
Institution: School of Social Sciences > Kognitive Psychologie u. Differentielle Psychologie (Erdfelder)
Außerfakultäre Einrichtungen > Graduate School of Economic and Social Sciences- CDSS (Social Sciences)
Subject: 150 Psychology
Abstract: Multinomial processing tree models assume that discrete cognitive states determine observed response frequencies. Generalized processing tree (GPT) models extend this conceptual framework to continuous variables such as response times, process-tracing measures, or neurophysiological variables. GPT models assume finite-mixture distributions, with weights determined by a processing tree structure, and continuous components modeled by parameterized distributions such as Gaussians with separate or shared parameters across states. We discuss identifiability, parameter estimation, model testing, a modeling syntax, and the improved precision of GPT estimates. Finally, a GPT version of the feature comparison model of semantic categorization is applied to computer-mouse trajectories.

Dieser Eintrag ist Teil der Universitätsbibliographie.




+ Citation Example and Export

Heck, Daniel W. ORCID: 0000-0002-6302-9252 ; Erdfelder, Edgar ORCID: 0000-0003-1032-3981 ; Kieslich, Pascal J. ORCID: 0000-0002-0853-9364 (2018) Generalized processing tree models: Jointly modeling discrete and continuous variables. Psychometrika New York, NY 83 4 893-918 [Article]


+ Search Authors in

+ Page Views

Hits per month over past year

Detailed information



You have found an error? Please let us know about your desired correction here: E-Mail


Actions (login required)

Show item Show item