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Paper-Based Assessment of the Effects of Aging on Response Time: A Diffusion Model Analysis

The effects of aging on response time were examined in a paper-based lexical-decision experiment with younger (age 18–36) and older (age 64–75) adults, applying Ratcliff’s diffusion model. Using digital pens allowed the paper-based assessment of response times for single items. Age differences previ...

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Detalles Bibliográficos
Autores principales: Dirk, Judith, Kratzsch, Gesa Katharina, Prindle, John J., Kröhne, Ulf, Goldhammer, Frank, Schmiedek, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526453/
https://www.ncbi.nlm.nih.gov/pubmed/31162403
http://dx.doi.org/10.3390/jintelligence5020012
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author Dirk, Judith
Kratzsch, Gesa Katharina
Prindle, John J.
Kröhne, Ulf
Goldhammer, Frank
Schmiedek, Florian
author_facet Dirk, Judith
Kratzsch, Gesa Katharina
Prindle, John J.
Kröhne, Ulf
Goldhammer, Frank
Schmiedek, Florian
author_sort Dirk, Judith
collection PubMed
description The effects of aging on response time were examined in a paper-based lexical-decision experiment with younger (age 18–36) and older (age 64–75) adults, applying Ratcliff’s diffusion model. Using digital pens allowed the paper-based assessment of response times for single items. Age differences previously reported by Ratcliff and colleagues in computer-based experiments were partly replicated: older adults responded more conservatively than younger adults and showed a slowing of their nondecision components of RT by 53 ms. The rates of evidence accumulation (drift rate) showed no age-related differences. Participants with a higher score in a vocabulary test also had higher drift rates. The experiment demonstrates the possibility to use formal processing models with paper-based tests.
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spelling pubmed-65264532019-05-29 Paper-Based Assessment of the Effects of Aging on Response Time: A Diffusion Model Analysis Dirk, Judith Kratzsch, Gesa Katharina Prindle, John J. Kröhne, Ulf Goldhammer, Frank Schmiedek, Florian J Intell Article The effects of aging on response time were examined in a paper-based lexical-decision experiment with younger (age 18–36) and older (age 64–75) adults, applying Ratcliff’s diffusion model. Using digital pens allowed the paper-based assessment of response times for single items. Age differences previously reported by Ratcliff and colleagues in computer-based experiments were partly replicated: older adults responded more conservatively than younger adults and showed a slowing of their nondecision components of RT by 53 ms. The rates of evidence accumulation (drift rate) showed no age-related differences. Participants with a higher score in a vocabulary test also had higher drift rates. The experiment demonstrates the possibility to use formal processing models with paper-based tests. MDPI 2017-04-10 /pmc/articles/PMC6526453/ /pubmed/31162403 http://dx.doi.org/10.3390/jintelligence5020012 Text en © 2017 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dirk, Judith
Kratzsch, Gesa Katharina
Prindle, John J.
Kröhne, Ulf
Goldhammer, Frank
Schmiedek, Florian
Paper-Based Assessment of the Effects of Aging on Response Time: A Diffusion Model Analysis
title Paper-Based Assessment of the Effects of Aging on Response Time: A Diffusion Model Analysis
title_full Paper-Based Assessment of the Effects of Aging on Response Time: A Diffusion Model Analysis
title_fullStr Paper-Based Assessment of the Effects of Aging on Response Time: A Diffusion Model Analysis
title_full_unstemmed Paper-Based Assessment of the Effects of Aging on Response Time: A Diffusion Model Analysis
title_short Paper-Based Assessment of the Effects of Aging on Response Time: A Diffusion Model Analysis
title_sort paper-based assessment of the effects of aging on response time: a diffusion model analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526453/
https://www.ncbi.nlm.nih.gov/pubmed/31162403
http://dx.doi.org/10.3390/jintelligence5020012
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