Publikation: Improving parameter recovery for conflict drift-diffusion models
Lade...
Dateien
Datum
2020
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Hybrid
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Behavior Research Methods. Springer. 2020, 52(5), pp. 1848-1866. ISSN 1554-351X. eISSN 1554-3528. Available under: doi: 10.3758/s13428-020-01366-8
Zusammenfassung
Several drift-diffusion models have been developed to account for the performance in conflict tasks. Although a common characteristic of these models is that the drift rate changes within a trial, their architecture is rather different. Comparative studies usually examine which model fits the data best. However, a good fit does not guarantee good parameter recovery, which is a necessary condition for a valid interpretation of any fit. A recent simulation study revealed that recovery performance varies largely between models and individual parameters. Moreover, recovery was generally not very impressive. Therefore, the aim of the present study was to introduce and test an improved fit procedure. It is based on a grid search for determining the initial parameter values and on a specific criterion for assessing the goodness of fit. Simulations show that not only the fit performance but also parameter recovery improved substantially by applying this procedure, compared to the standard one. The improvement was largest for the most complex model.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
150 Psychologie
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
HÜBNER, Ronald, Thomas PELZER, 2020. Improving parameter recovery for conflict drift-diffusion models. In: Behavior Research Methods. Springer. 2020, 52(5), pp. 1848-1866. ISSN 1554-351X. eISSN 1554-3528. Available under: doi: 10.3758/s13428-020-01366-8BibTex
@article{Hubner2020-10Impro-48652,
year={2020},
doi={10.3758/s13428-020-01366-8},
title={Improving parameter recovery for conflict drift-diffusion models},
number={5},
volume={52},
issn={1554-351X},
journal={Behavior Research Methods},
pages={1848--1866},
author={Hübner, Ronald and Pelzer, Thomas}
}RDF
<rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/48652">
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
<dcterms:issued>2020-10</dcterms:issued>
<dc:contributor>Pelzer, Thomas</dc:contributor>
<dc:rights>Attribution 4.0 International</dc:rights>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-02-17T07:53:39Z</dcterms:available>
<dc:creator>Pelzer, Thomas</dc:creator>
<dcterms:title>Improving parameter recovery for conflict drift-diffusion models</dcterms:title>
<bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/48652"/>
<dc:creator>Hübner, Ronald</dc:creator>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dc:language>eng</dc:language>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dc:contributor>Hübner, Ronald</dc:contributor>
<dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/48652/1/Huebner_2-gh154rn4giuk6.pdf"/>
<dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/48652/1/Huebner_2-gh154rn4giuk6.pdf"/>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-02-17T07:53:39Z</dc:date>
<dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
<dcterms:abstract xml:lang="eng">Several drift-diffusion models have been developed to account for the performance in conflict tasks. Although a common characteristic of these models is that the drift rate changes within a trial, their architecture is rather different. Comparative studies usually examine which model fits the data best. However, a good fit does not guarantee good parameter recovery, which is a necessary condition for a valid interpretation of any fit. A recent simulation study revealed that recovery performance varies largely between models and individual parameters. Moreover, recovery was generally not very impressive. Therefore, the aim of the present study was to introduce and test an improved fit procedure. It is based on a grid search for determining the initial parameter values and on a specific criterion for assessing the goodness of fit. Simulations show that not only the fit performance but also parameter recovery improved substantially by applying this procedure, compared to the standard one. The improvement was largest for the most complex model.</dcterms:abstract>
</rdf:Description>
</rdf:RDF>Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
