Evidence map›Paper›PMID 31881681›Full record

ArticleJournal of Intelligence2019

Disentangling the Effects of Processing Speed on the Association between Age Differences and Fluid Intelligence.

Anna-Lena Schubert, Dirk Hagemann, Christoph Löffler, Gidon T Frischkorn

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anna-Lena SchubertInstitute of Psychology, Heidelberg University, Hauptstrasse 47-51, D-69117 Heidelberg, Germany.ORCID 0000-0001-7248-0662
Dirk HagemannInstitute of Psychology, Heidelberg University, Hauptstrasse 47-51, D-69117 Heidelberg, Germany.
Christoph LöfflerInstitute of Psychology, Heidelberg University, Hauptstrasse 47-51, D-69117 Heidelberg, Germany.
Gidon T FrischkornDepartment of Psychology, University of Zurich, Binzmuehlestrasse 14, 8050 Zurich, Switzerland.ORCID 0000-0002-5055-9764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

agingdiffusion modelEEGERPintelligencemental speedreaction time

Identifiers

PMID31881681
PMCPMC7151009

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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.