Literature DB >> 34355351

Performance on the processing portion of complex working memory span tasks is related to working memory capacity estimates.

Lauren L Richmond1, Lois K Burnett2, Alexandra B Morrison3, B Hunter Ball4.   

Abstract

Individual differences in working memory capacity (WMC) have long been known to relate to performance in domains outside of WM, including attentional control, long-term memory, problem-solving, and fluid intelligence to name a few. Complex span WM tasks, composed of a processing component and a storage component, are often used to index WMC in these types of investigations. Capacity estimates are derived from performance on the storage component only, while processing performance is often largely ignored. Here, we explore the relationship between processing performance and WMC in a large dataset for each of three complex span tasks to better characterize how the components of these tasks might be related. We provide evidence that enforcing an 85% or better accuracy criterion for the processing portion of the task results in the removal of a disproportionate number of individuals exhibiting lower WMC estimates. We also find broad support for differences in processing task performance, characterized according to both accuracy and reaction time metrics, as a function of WMC. We suggest that researchers may want to include processing task performance measures, in addition to capacity estimates, in studies using complex span tasks to index WMC. This approach may better characterize the relationships between complex span task performance and performance in disparate domains of cognition.
© 2021. The Psychonomic Society, Inc.

Entities:  

Keywords:  Complex span task; Individual differences; Processing; Storage; Working memory

Mesh:

Year:  2021        PMID: 34355351     DOI: 10.3758/s13428-021-01645-y

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  20 in total

1.  Individual differences in working memory and comprehension: a test of four hypotheses.

Authors:  R W Engle; J Cantor; J J Carullo
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1992-09       Impact factor: 3.051

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3.  The development of a short domain-general measure of working memory capacity.

Authors:  Frederick L Oswald; Samuel T McAbee; Thomas S Redick; David Z Hambrick
Journal:  Behav Res Methods       Date:  2015-12

4.  What item response theory can tell us about the complex span tasks.

Authors:  Christopher Draheim; Tyler L Harrison; Susan E Embretson; Randall W Engle
Journal:  Psychol Assess       Date:  2017-03-09

5.  Commissions and omissions are dissociable aspects of everyday action impairment in schizophrenia.

Authors:  Kathryn N Devlin; Tania Giovannetti; Rachel K Kessler; Molly J Fanning
Journal:  J Int Neuropsychol Soc       Date:  2014-07-30       Impact factor: 2.892

6.  How many trials are required for parameter estimation in diffusion modeling? A comparison of different optimization criteria.

Authors:  Veronika Lerche; Andreas Voss; Markus Nagler
Journal:  Behav Res Methods       Date:  2017-04

7.  Proactive control processes in event-based prospective memory: Evidence from intraindividual variability and ex-Gaussian analyses.

Authors:  B Hunter Ball; Gene A Brewer
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2017-12-14       Impact factor: 3.051

8.  Remembering to prepare: The benefits (and costs) of high working memory capacity.

Authors:  Lauren L Richmond; Thomas S Redick; Todd S Braver
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2015-04-13       Impact factor: 3.051

9.  Processing speed and visuospatial executive function predict visual working memory ability in older adults.

Authors:  Louise A Brown; James R Brockmole; Alan J Gow; Ian J Deary
Journal:  Exp Aging Res       Date:  2012       Impact factor: 1.645

10.  Working memory span tasks: Group administration and omitting accuracy criterion do not change metric characteristics.

Authors:  Ratko Đokić; Maida Koso-Drljević; Nermin Đapo
Journal:  PLoS One       Date:  2018-10-11       Impact factor: 3.240

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