Evidence map›Paper›PMID 34723624›Full record

ArticleAmerican journal of speech-language pathology2021

Language Variation in the Writing of African American Students: Factors Predicting Reading Achievement.

Lisa Fitton, Lakeisha Johnson, Carla Wood, Christopher Schatschneider, Sara A Hart

Abstract read
In one paragraph

Article in American journal of speech-language pathology, 2021. 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

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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

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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

5 authors.

Lisa FittonCommunication Sciences & Disorders Department, University of South Carolina, Columbia.ORCID 0000-0003-0524-7339
Lakeisha JohnsonSchool of Communication Science & Disorders, Florida State University, Tallahassee.ORCID 0000-0003-4315-9188
Carla WoodSchool of Communication Science & Disorders, Florida State University, Tallahassee.ORCID 0000-0002-0551-0638
Christopher SchatschneiderDepartment of Psychology, Florida State University, Tallahassee.ORCID 0000-0002-1700-7685
Sara A HartDepartment of Psychology, Florida State University, Tallahassee.ORCID 0000-0001-9793-0420

Funding

THE FLORIDA LONGITUDINAL STUDYP50HD052120 · NICHD · FLORIDA STATE UNIVERSITY · PI CHRIS W SCHATSCHNEIDER · 2006 to 2026
$31.7M
NICHD NIH HHS P50 HD052120
6 · The paper itself

Abstract

Purpose This study aims to examine the predictive relation between measures obtained from African American students' written narrative language samples and reading achievement, as measured by standardized academic assessments. Method Written language samples were elicited from 207 African American students in Grades 1-8. The samples were examined for morphosyntactic variations from standardized written Generalized American English (GAE). These variations were categorized as either (a) specific to African American English (AAE) or (b) neutral across AAE and standardized written GAE (i.e., considered ungrammatical both in AAE and in standardized written GAE). Structural equation modeling was employed to then examine the predictive relation between the density of AAE-specific forms in students' writing and their performance on standardized assessments of literacy and reading vocabulary. This relation was examined while accounting for the density of dialect-neutral morphosyntactic forms, reported family income, age, and written sample length. Results The written samples were highly variable in terms of morphosyntax. Younger students and those from lower income homes tended to use AAE-specific forms at higher rates. However, the density of AAE-specific forms did not significantly predict standardized literacy scores or reading vocabulary after accounting for dialect-neutral variations, income, and sample length. Conclusions These results support the ongoing need to better understand the language, literacy, and overall academic development of students from all backgrounds. It may be essential to focus on dialect-neutral language forms (i.e., morphosyntactic forms that are consistent across both AAE and standardized written GAE) in written samples to maximize assessment validity across students who speak varying dialects of English. Supplemental Material https://doi.org/10.23641/asha.16879558.

Indexed as

LanguageReadingBlack or African AmericanHumansStudentsWriting

Identifiers

PMID34723624
PMCPMC9132061

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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.