Evidence map›Paper›PMID 41694623›Full record

ArticlePerspectives of the ASHA special interest groups2020

Measure What You Treat: Using Language Sample Analysis for Grammatical Outcome Measures in Children with Developmental Language Disorder.

John F Gallagher, Jill R Hoover

Abstract read
In one paragraph

Article in Perspectives of the ASHA special interest groups, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

2 authors.

John F GallagherSchool of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA.
Jill R HooverDepartment of Communication Disorders, University of Massachusetts Amherst, Amherst, MA.

Funding

TRAINING RESEARCHERS IN LANGUAGE IMPAIRMENTST32DC000052 · NIDCD · UNIVERSITY OF KANSAS LAWRENCE · PI RICE, MABEL L · 1995 to 2022
$2.7M
The Interface Between the Lexicon and Morphology in SLIF31DC009135 · NIDCD · UNIVERSITY OF KANSAS LAWRENCE · PI HOOVER, JILL · 2008 to 2009
$59k
NIDCD NIH HHS F31 DC009135NIDCD NIH HHS T32 DC000052
6 · The paper itself

Abstract

Purpose: Language Sample Analysis (LSA) is commonly used to monitor progress for children with language disorders (Pavelko, Owens, Ireland, & Hahs-Vaughn, 2016). For children with grammar goals, pediatric SLPs report mean length of utterance (MLU) and type-token ratio (TTR) as the two LSA measures most commonly used (Finestack & Satterlund, 2018). For focused grammatical intervention, these measures may be ineffective in capturing treatment growth. In this clinical focus paper, we provide a preliminary comparison of four measures that could be considered as progress monitoring tools following intervention for one finiteness marker. Methods: Pre- and post-treatment spontaneous language samples from six children with developmental language disorder (DLD) who underwent treatment for the third person singular -s Results: Increases were most common across participants in measures that examined use of the treatment target (i.e., % accuracy and TAP score of Conclusions: For preschool-aged children with DLD, MLU and TTR may not be effective as the sole outcome measures following treatment of

Indexed as

developmental language disorderfinitenessgrammaroutcome measuresspecific language impairment

Identifiers

PMID41694623
PMCPMC12904304

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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.