Literature DB >> 32535699

Age differences in diffusion model parameters: a meta-analysis.

Maximilian Theisen1, Veronika Lerche2, Mischa von Krause2, Andreas Voss2.   

Abstract

Older adults typically show slower response times in basic cognitive tasks than younger adults. A diffusion model analysis allows the clarification of why older adults react more slowly by estimating parameters that map distinct cognitive components of decision making. The main components of the diffusion model are the speed of information uptake (drift rate), the degree of conservatism regarding the decision criterion (boundary separation), and the time taken up by non-decisional processes (i.e., encoding and motoric response execution; non-decision time). While the literature shows consistent results regarding higher boundary separation and longer non-decision time for older adults, results are more complex when it comes to age differences in drift rates. We conducted a multi-level meta-analysis to identify possible sources of this variance. As possible moderators, we included task difficulty and task type. We found that age differences in drift rate are moderated both by task type and task difficulty. Older adults were inferior in drift rate in perceptual and memory tasks, but information accumulation was even increased in lexical decision tasks for the older participants. Additionally, in perceptual and lexical decision tasks, older individuals benefitted from high task difficulty. In the memory tasks, task difficulty did not moderate the negative impact of age on drift. The finding of higher boundary separation and longer non-decision time in older than younger adults generalized over task type and task difficulty. The results of our meta-analysis are consistent with recent findings of a more pronounced age-related decline in memory than in vocabulary performance.
© 2020. The Author(s).

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Year:  2020        PMID: 32535699      PMCID: PMC8289776          DOI: 10.1007/s00426-020-01371-8

Source DB:  PubMed          Journal:  Psychol Res        ISSN: 0340-0727


  57 in total

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Review 2.  The processing-speed theory of adult age differences in cognition.

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3.  Modeling individual differences in response time and accuracy in numeracy.

Authors:  Roger Ratcliff; Clarissa A Thompson; Gail McKoon
Journal:  Cognition       Date:  2015-01-29

4.  Speed-accuracy manipulations and diffusion modeling: Lack of discriminant validity of the manipulation or of the parameter estimates?

Authors:  Veronika Lerche; Andreas Voss
Journal:  Behav Res Methods       Date:  2018-12

5.  Experimental validation of the diffusion model based on a slow response time paradigm.

Authors:  Veronika Lerche; Andreas Voss
Journal:  Psychol Res       Date:  2017-12-09

6.  The importance of age-related differences in prospective memory: Evidence from diffusion model analyses.

Authors:  B Hunter Ball; Andrew J Aschenbrenner
Journal:  Psychon Bull Rev       Date:  2018-06

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Authors:  Chris Donkin; Scott Brown; Andrew Heathcote; Eric-Jan Wagenmakers
Journal:  Psychon Bull Rev       Date:  2011-02

8.  Aging and IQ effects on associative recognition and priming in item recognition.

Authors:  Gail McKoon; Roger Ratcliff
Journal:  J Mem Lang       Date:  2012-04       Impact factor: 3.059

9.  Effects of aging and distractors on detection of redundant visual targets and capacity: do older adults integrate visual targets differently than younger adults?

Authors:  Boaz M Ben-David; Ami Eidels; Chris Donkin
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

10.  The EZ diffusion model provides a powerful test of simple empirical effects.

Authors:  Don van Ravenzwaaij; Chris Donkin; Joachim Vandekerckhove
Journal:  Psychon Bull Rev       Date:  2017-04
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  4 in total

1.  Systematic Parameter Reviews in Cognitive Modeling: Towards a Robust and Cumulative Characterization of Psychological Processes in the Diffusion Decision Model.

Authors:  N-Han Tran; Leendert van Maanen; Andrew Heathcote; Dora Matzke
Journal:  Front Psychol       Date:  2021-01-21

2.  Older adults process the probability of winning sooner but weigh it less during lottery decisions.

Authors:  Shu-Chen Li; Todd A Hare; Hsiang-Yu Chen; Gaia Lombardi
Journal:  Sci Rep       Date:  2022-07-05       Impact factor: 4.996

3.  Stability and Change in Diffusion Model Parameters over Two Years.

Authors:  Mischa von Krause; Stefan T Radev; Andreas Voss; Martin Quintus; Boris Egloff; Cornelia Wrzus
Journal:  J Intell       Date:  2021-05-12

Review 4.  Neural Substrates of the Drift-Diffusion Model in Brain Disorders.

Authors:  Ankur Gupta; Rohini Bansal; Hany Alashwal; Anil Safak Kacar; Fuat Balci; Ahmed A Moustafa
Journal:  Front Comput Neurosci       Date:  2022-01-07       Impact factor: 2.380

  4 in total

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