Cargando…

Stability and Change in Diffusion Model Parameters over Two Years

In recent years, mathematical models of decision making, such as the diffusion model, have been endorsed in individual differences research. These models can disentangle different components of the decision process, like processing speed, speed–accuracy trade-offs, and duration of non-decisional pro...

Descripción completa

Detalles Bibliográficos
Autores principales: von Krause, Mischa, Radev, Stefan T., Voss, Andreas, Quintus, Martin, Egloff, Boris, Wrzus, Cornelia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162541/
https://www.ncbi.nlm.nih.gov/pubmed/34066281
http://dx.doi.org/10.3390/jintelligence9020026
_version_ 1783700736490602496
author von Krause, Mischa
Radev, Stefan T.
Voss, Andreas
Quintus, Martin
Egloff, Boris
Wrzus, Cornelia
author_facet von Krause, Mischa
Radev, Stefan T.
Voss, Andreas
Quintus, Martin
Egloff, Boris
Wrzus, Cornelia
author_sort von Krause, Mischa
collection PubMed
description In recent years, mathematical models of decision making, such as the diffusion model, have been endorsed in individual differences research. These models can disentangle different components of the decision process, like processing speed, speed–accuracy trade-offs, and duration of non-decisional processes. The diffusion model estimates individual parameters of cognitive process components, thus allowing the study of individual differences. These parameters are often assumed to show trait-like properties, that is, within-person stability across tasks and time. However, the assumption of temporal stability has so far been insufficiently investigated. With this work, we explore stability and change in diffusion model parameters by following over 270 participants across a time period of two years. We analysed four different aspects of stability and change: rank-order stability, mean-level change, individual differences in change, and profile stability. Diffusion model parameters showed strong rank-order stability and mean-level changes in processing speed and speed–accuracy trade-offs that could be attributed to practice effects. At the same time, people differed little in these patterns across time. In addition, profiles of individual diffusion model parameters proved to be stable over time. We discuss implications of these findings for the use of the diffusion model in individual differences research.
format Online
Article
Text
id pubmed-8162541
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81625412021-05-29 Stability and Change in Diffusion Model Parameters over Two Years von Krause, Mischa Radev, Stefan T. Voss, Andreas Quintus, Martin Egloff, Boris Wrzus, Cornelia J Intell Article In recent years, mathematical models of decision making, such as the diffusion model, have been endorsed in individual differences research. These models can disentangle different components of the decision process, like processing speed, speed–accuracy trade-offs, and duration of non-decisional processes. The diffusion model estimates individual parameters of cognitive process components, thus allowing the study of individual differences. These parameters are often assumed to show trait-like properties, that is, within-person stability across tasks and time. However, the assumption of temporal stability has so far been insufficiently investigated. With this work, we explore stability and change in diffusion model parameters by following over 270 participants across a time period of two years. We analysed four different aspects of stability and change: rank-order stability, mean-level change, individual differences in change, and profile stability. Diffusion model parameters showed strong rank-order stability and mean-level changes in processing speed and speed–accuracy trade-offs that could be attributed to practice effects. At the same time, people differed little in these patterns across time. In addition, profiles of individual diffusion model parameters proved to be stable over time. We discuss implications of these findings for the use of the diffusion model in individual differences research. MDPI 2021-05-12 /pmc/articles/PMC8162541/ /pubmed/34066281 http://dx.doi.org/10.3390/jintelligence9020026 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
von Krause, Mischa
Radev, Stefan T.
Voss, Andreas
Quintus, Martin
Egloff, Boris
Wrzus, Cornelia
Stability and Change in Diffusion Model Parameters over Two Years
title Stability and Change in Diffusion Model Parameters over Two Years
title_full Stability and Change in Diffusion Model Parameters over Two Years
title_fullStr Stability and Change in Diffusion Model Parameters over Two Years
title_full_unstemmed Stability and Change in Diffusion Model Parameters over Two Years
title_short Stability and Change in Diffusion Model Parameters over Two Years
title_sort stability and change in diffusion model parameters over two years
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162541/
https://www.ncbi.nlm.nih.gov/pubmed/34066281
http://dx.doi.org/10.3390/jintelligence9020026
work_keys_str_mv AT vonkrausemischa stabilityandchangeindiffusionmodelparametersovertwoyears
AT radevstefant stabilityandchangeindiffusionmodelparametersovertwoyears
AT vossandreas stabilityandchangeindiffusionmodelparametersovertwoyears
AT quintusmartin stabilityandchangeindiffusionmodelparametersovertwoyears
AT egloffboris stabilityandchangeindiffusionmodelparametersovertwoyears
AT wrzuscornelia stabilityandchangeindiffusionmodelparametersovertwoyears