Evidence map›Paper›PMID 35948686›Full record

ArticlePsychological research2023

Reading about a RELO-VUTION.

Manuel Perea, Ana Marcet, Ana Baciero, Pablo Gómez

Abstract read
PubMed Publisher
In one paragraph

Article in Psychological research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Letters, Words, Sentences, and Reading.Journal of cognition · 2024
    Review
  8. Article
  9. 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

4 authors.

Manuel PereaDepartamento de Metodología and ERI-Lectura, Universitat de València, Valencia, Spain.
Ana MarcetGrupo de Investigación en Enseñanza de Lenguas, Departamento de Didáctica de la Lengua y la Literatura, Universitat de València, Valencia, Spain.
Ana BacieroDepartment of Psychology, Bournemouth University, Bournemouth, UK.
Pablo GómezPsychology Department, California State University San Bernardino, Palm Desert Campus, 37500 Cook Street, Palm Desert, CA, 92211, USA. Pablo.Gomez@csusb.edu.ORCID http://orcid.org/0000-0003-4180-1560

Funding

Directorate for Social, Behavioral and Economic Sciences SMA-2127135Ministerio de Ciencia, Innovación y Universidades PID2020-116740GB-I00
6 · The paper itself

Abstract

Pseudowords created by transposing two letters of words (e.g., MOHTER; CHOLOCATE) are highly confusable with their base word; this is known as the transposed-letter similarity effect. In this work, we examined whether transposed-letter effects occur when words span more than one line (e.g., CHOLO- in one line and CATE in another line; note that the transposed letters L and C are in different lines). While this type of presentation is not the canonical format for reading in alphabetic languages, it is widely used in advertising, billboards, and street signs. Transposed-letter pseudowords and their replacement-letter controls were written in the standard one-line format versus a two-line format (Experiments 1-2) or a syllable-per-line format (Experiment 3). While results showed some decrease in the transposed-letter effect in the two-line and syllabic formats, the transposed-letter effect was still substantial in the accuracy of responses. These findings demonstrate that even when the letters being transposed are relatively far apart in space, the transposed-letter effect is still robust. Thus, a major component of letter position coding occurs at an abstract level.

Indexed as

LanguageReadingHumansPattern Recognition, VisualWriting

Identifiers

What OpenQuestion holds

Textmetadata
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.