ArticleJournal of Intelligence2019
Disentangling the Effects of Processing Speed on the Association between Age Differences and Fluid Intelligence.
Article in Journal of Intelligence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Acute stress impairs visual narrative comprehension in younger but not older adults.Scientific reports · 2026Article
- Enhancing Rural Children's Cognitive Abilities Through Teacher Support: Quasi-Experimental Evidence from Longitudinal Data in China.Journal of Intelligence · 2026Article
- Reading Comprehension in Older Adults-Effects of Age, Educational Level, and Reading Habits.Journal of Intelligence · 2024Article
- Association of domain-general speed of information processing with spoken language outcomes in prelingually-deaf children with cochlear implants.Hearing research · 2024Article
- Word or pseudoword? The lexicality effect in naming and lexical decision tasks during advanced aging.PloS one · 2024Article
- Lexical Access Restrictions after the Age of 80.Brain sciences · 2023Article
- The Development of a Pilot App Targeting Short-Term and Prospective Memory in People Diagnosed with Dementia.Behavioral sciences (Basel, Switzerland) · 2023Article
- The block design subtest of the Wechsler adult intelligence scale as a possible non-verbal proxy of cognitive reserve.Frontiers in aging neuroscience · 2023Article
- University students with attention deficit hyperactivity disorder (ADHD): a consensus statement from the UK Adult ADHD Network (UKAAN).BMC psychiatry · 2022Article
- Visual word recognition among oldest old people: The effect of age and cognitive load.Frontiers in aging neuroscience · 2022Article
- Educational and economic returns to cognitive ability in low- and middle-income countries: A systematic review.World development · 2022Article
- Stability and Change in Diffusion Model Parameters over Two Years.Journal of Intelligence · 2021Article
- Two Sides of the Same Coin: Fluid Intelligence and Crystallized Intelligence as Cognitive Reserve Predictors of Social Cognition and Executive Functions Among Vulnerable Elderly People.Frontiers in neurology · 2021Article
- Do Non-Decision Times Mediate the Association between Age and Intelligence across Different Content and Process Domains?Journal of Intelligence · 2020Article
- Comparing Eight Parameter Estimation Methods for the Ratcliff Diffusion Model Using Free Software.Frontiers in psychology · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several studies have demonstrated that individual differences in processing speed fully mediate the association between age and intelligence, whereas the association between processing speed and intelligence cannot be explained by age differences. Because measures of processing speed reflect a plethora of cognitive and motivational processes, it cannot be determined which specific processes give rise to this mediation effect. This makes it hard to decide whether these processes should be conceived of as a cause or an indicator of cognitive aging. In the present study, we addressed this question by using a neurocognitive psychometrics approach to decompose the association between age differences and fluid intelligence. Reanalyzing data from two previously published datasets containing 223 participants between 18 and 61 years, we investigated whether individual differences in diffusion model parameters and in ERP latencies associated with higher-order attentional processing explained the association between age differences and fluid intelligence. We demonstrate that individual differences in the speed of non-decisional processes such as encoding, response preparation, and response execution, and individual differences in latencies of ERP components associated with higher-order cognitive processes explained the negative association between age differences and fluid intelligence. Because both parameters jointly accounted for the association between age differences and fluid intelligence, age-related differences in both parameters may reflect age-related differences in anterior brain regions associated with response planning that are prone to be affected by age-related changes. Conversely, age differences did not account for the association between processing speed and fluid intelligence. Our results suggest that the relationship between age differences and fluid intelligence is multifactorially determined.
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