Evidence map›Paper›PMID 36630027›Full record

ArticleAnnals of dyslexia2023

Exploring reading profiles of rural school students.

Johny Daniel, Amy Barth

Open access · hybridAbstract read
In one paragraph

Article in Annals of dyslexia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 2 countries.

Johny DanielSchool of Education, Durham University, Leazes Rd, Durham, DH1 1TA, UK. Johny.r.daniel@durham.ac.uk.ORCID 0000-0002-5057-9933
Amy BarthWilliam Jewell College, Liberty, MO, USA.
Durham University · GBWilliam Jewell College · US

Funding

The Role of Knowledge Retrieval in Inference-making among Rural, Middle Grade Struggling ReadersR15HD092922 · NICHD · WILLIAM JEWELL COLLEGE · PI BARTH, AMY ELIZABETH · 2018 to 2022
$660k
NICHD NIH HHS R15 HD092922
6 · The paper itself

Abstract

This study investigates the reading profiles of rural Grade 5 and 6 students (N = 262), a sample with a high proportion of English language learners. We administered a battery of reading and cognitive assessments to classify students' reading profiles and evaluate if performance on cognitive measures predicted membership in particular profiles. Data were analyzed using latent profile analysis. Latent profile analysis showed four distinct reading profiles in our sample: students with severe reading disabilities (< 2%), students at high risk of reading disability (14%), students at some-risk of reading disability (46%), and students who are typical readers (38%). Lower performance on cognitive measures was associated with group membership in the severe reading profile group compared to the group of students at some-risk of reading failure. In contrast, higher performance on cognitive measures was associated with group membership in the typical reader group compared to students at some-risk of reading failure. In keeping with the findings from past studies documenting reader profiles, we found heterogeneity in the reading profiles of rural upper-elementary grade students. We discuss the need for multicomponent interventions that target all areas of reading with some flexibility in the dosage of each reading component dependent on the reader profiles established prior to intervention.

Indexed as

DyslexiaLearning DisabilitiesHumansLanguageReadingSchoolsStudentsCognitionLatent profileReading disabilitiesReading profileRural

Identifiers

PMID36630027
PMCPMC10247562
OpenAlexW4315619088

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.