Evidence map›Paper›PMID 35492809›Full record

ArticleReading research quarterly

The Contribution of Text Characteristics to Reading Comprehension: Investigating the Influence of Text Emotionality.

Sage E Pickren, Maria Stacy, Stephanie N Del Tufo, Mercedes Spencer, Laurie E Cutting

Abstract read
In one paragraph

Article in Reading research quarterly. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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.

Sage E PickrenVanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0001-8646-1120
Maria StacySouthern Illinois University, Carbondale, USA.
Stephanie N Del TufoUniversity of Delaware, Newark, USA.
Mercedes SpencerVanderbilt University, Nashville, Tennessee, USA.
Laurie E CuttingVanderbilt University, Nashville, Tennessee, USA.

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
Cognitive and Neural Processes in Reading ComprehensionR01HD044073 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2004 to 2019
$8.1M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Early Academic Achievement and Intervention Response: Role of Executive FunctionR37HD095519 · NICHD · VANDERBILT UNIVERSITY · PI Laurie E Cutting · 2018 to 2026
$5.1M
Neurobiology and Treatment of Reading Disability in NF1R01HD089474 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2016 to 2022
$3.4M
Neural Correlates of Discourse Processing in AdolescentsR01HD109151 · NICHD · VANDERBILT UNIVERSITY · PI Laurie E Cutting · 2022 to 2026
$3.4M
Predicting Late-Emerging RD: Neurobiological and Cognitive FactorsR01HD067254 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2010 to 2014
$2.9M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)KL2TR000446 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$2.8M
Word Problems, Language, & Comorbid Learning DisabilitiesP20HD075443 · NICHD · VANDERBILT UNIVERSITY · PI FUCHS, LYNN S · 2017 to 2021
$2.5M
The neurocognition of procedural and declarative memory in dyslexia and S-RCDR21HD087088 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2016 to 2017
$434k
NCATS NIH HHS KL2 TR000446NICHD NIH HHS P20 HD075443NICHD NIH HHS P50 HD103537NICHD NIH HHS R01 HD044073NICHD NIH HHS R01 HD067254NICHD NIH HHS R01 HD089474NICHD NIH HHS R01 HD109151NICHD NIH HHS R21 HD087088NICHD NIH HHS R37 HD095519NICHD NIH HHS U54 HD083211
6 · The paper itself

Abstract

In the current study, we examined relations between text features (e.g., word concreteness, referential cohesion) and reading comprehension using multilevel logistic models. The sample was 158 native English-speaking students between 8 years 8 months and 11 years 2 months of age with a wide range of reading ability. In line with the simple view of reading, decoding ability and language comprehension were associated with reading comprehension performance. Text characteristics, including indices of word frequency, number of pronouns, word concreteness, and deep cohesion, also predicted unique variance in reading comprehension performance over and above the simple view's components. Additionally, the emotional charge of text (i.e., lexical ratings of arousal) predicted reading comprehension beyond traditional person-level and text-based characteristics. These findings add to a small but growing body of evidence suggesting that it is important to consider emotional charge in addition to person-level and text-based characteristics to better understand reading comprehension performance.

Identifiers

PMID35492809
PMCPMC9049824

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.