Evidence map›Paper›PMID 40527653›Full record

ReviewTrends in cognitive sciences2025

Statistical learning in spelling and reading.

Rebecca Treiman, Brett Kessler

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Rebecca TreimanWashington University in St. Louis, St. Louis, MO, USA. Electronic address: rtreiman@wustl.edu.
Brett KesslerWashington University in St. Louis, St. Louis, MO, USA.

Funding

Learning statistical orthographic patterns in disyllabic English words and using them in reading and spellingR01HD102346 · NICHD · WASHINGTON UNIVERSITY · PI TREIMAN, REBECCA A. · 2021 to 2025
$1.3M
NICHD NIH HHS R01 HD102346
6 · The paper itself

Abstract

The statistical learning view of word reading and spelling is based on the ideas that writing systems have a rich statistical structure and that people implicitly pick up this structure as they learn to read and write. Whereas laboratory studies stress the speed and power of statistical learning, the evidence we review shows that adults with years of reading and writing experience do not always mirror the statistics of their writing system in their behavior. We consider possible reasons for these discrepancies, including the complexity of the statistical relationships, ease of production, and satisficing. The findings suggest that literacy instruction should address the probabilistic patterns in writing systems and the role of context in selecting appropriate pronunciations and spellings.

Indexed as

LearningReadingWritingHumansreadingspellingstatistical learningwriting systems

Identifiers

PMID40527653
PMCPMC12785160

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.