ReviewPsychonomic bulletin & review2025
Neither measurement error nor speed-accuracy trade-offs explain the difficulty of establishing attentional control as a psychometric construct: Evidence from a latent-variable analysis using diffusion modeling.
Review in Psychonomic bulletin & review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Ten years Diffusion Model for Conflict (DMC) tasks: Theoretical foundations, applications, practical recommendations, and open challenges.Psychonomic bulletin & review · 2026Review
- The Decision Process Scale (DPS): Self-report measures of reliance on rules, cost-benefit reasoning, intuition, and deliberation in (moral) decision-making.Behavior research methods · 2026Article
- Miyake Revisited: Validating the Factor Structure of an Open-Source Cognitive Control Test Battery.Journal of cognition · 2026Article
- A tutorial for estimating Bayesian hierarchical mixture models for visual working memory tasks: Introducing the Bayesian Measurement Modeling (bmm) package for R.Behavior research methods · 2025Article
- On the psychometric evaluation of cognitive control tasks: An Investigation with the Dual Mechanisms of Cognitive Control (DMCC) battery.Behavior research methods · 2024Article
- Linking computational models of two core tasks of cognitive control.Psychological review · 2023Article
- A unique neural signature of long-term memory encoding from EEG inter-electrode correlation.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
3 authors.
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Abstract
Attentional control refers to the ability to maintain and implement a goal and goal-relevant information when facing distraction. Previous research has failed to substantiate strong evidence for a psychometric construct of attentional control. This could result from two methodological shortcomings: (a) the neglect of individual differences in speed-accuracy trade-offs when only speed or accuracy is used as dependent variable, and (b) the difficulty of isolating attentional control from measurement error. To overcome both issues, we combined hierarchical Bayesian Wiener diffusion modeling with structural equation modeling. We reanalyzed six datasets that included data from three to eight attentional-control tasks, and data from young and older adults. Overall, the results showed that measures of attentional control failed to correlate with each other and failed to load on a latent variable. Therefore, limiting the impact of differences in speed-accuracy trade-offs and of measurement error does not solve the difficulty of establishing attentional control as a psychometric construct. These findings strengthen the case against a psychometric construct of attentional control.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.