Evidence map›Paper›PMID 36952465›Full record

ArticlePloS one2023

Reading fluency and statistical learning across modalities and domains: Online and offline measures.

Ágnes Lukács, Dorottya Dobó, Ágnes Szőllősi, Kornél Németh, Krisztina Sára Lukics

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Superior Statistical Learning Relies on Rejecting Partwords.Journal of psycholinguistic research · 2025
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  3. Article
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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

5 authors.

Ágnes LukácsDepartment of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary.
Dorottya DobóDepartment of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary.
Ágnes SzőllősiInstitute of Cognitive Neuroscience and Psychology, Eötvös Loránd Research Network (ELKH), Budapest, Hungary.
Kornél NémethDepartment of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary.
Krisztina Sára LukicsDepartment of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary.ORCID 0000-0001-9244-0393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The vulnerability of statistical learning has been demonstrated in reading difficulties in both the visual and acoustic modalities. We examined segmentation abilities of Hungarian speaking adolescents with different levels of reading fluency in the acoustic verbal and visual nonverbal domains. We applied online target detection tasks, where the extent of learning is reflected in differences between reaction times to predictable versus unpredictable targets. Explicit judgments of well-formedness were also elicited in an offline two-alternative forced choice (2AFC) task. Learning was evident in both the acoustic verbal and visual nonverbal tasks, both in online and offline measures, but learning effects were larger both in online and offline tasks in the verbal acoustic condition. We haven't found evidence for a significant relationship between statistical learning and reading fluency in adolescents in either modality. Together with earlier findings, these results suggest that the relationship between reading and statistical learning is dependent on the domain, modality and nature of the statistical learning task, on the reading task, on the age of participants, and on the specific language. The online target detection task is a promising tool which can be adapted to a wider set of tasks to further explore the contribution of statistical learning to reading acquisition in participants from different populations.

Indexed as

LearningReadingAdolescentCognitionHumansLanguageReaction Time

Identifiers

PMID36952465
PMCPMC10035921

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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.