Evidence map›Paper›PMID 32924890›Full record

ArticleAmerican journal of speech-language pathology2020

Macrostructural Analyses of Cinderella Narratives in a Large Nonclinical Sample.

Kathryn J Greenslade, Jade E B Stuart, Jessica D Richardson, Sarah Grace Dalton, Amy E Ramage

Abstract read
In one paragraph

Article in American journal of speech-language pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Assessment of language impairment and function.Handbook of clinical neurology · 2022
    Review
  7. 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.

Kathryn J GreensladeDepartment of Communication Sciences & Disorders, University of New Hampshire, Durham.
Jade E B StuartDepartment of Communication Sciences & Disorders, University of New Hampshire, Durham.
Jessica D RichardsonDepartment of Speech & Hearing Sciences, The University of New Mexico, Albuquerque.
Sarah Grace DaltonDepartment of Speech Pathology and Audiology, Marquette University, Milwaukee, WI.
Amy E RamageDepartment of Communication Sciences & Disorders, University of New Hampshire, Durham.

Funding

University of New Mexico (UNM) Center for Brain Recovery and RepairP20GM109089 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI SHUTTLEWORTH, CLAUDE W · 2015 to 2024
$22.7M
RHDBank Database DevelopmentR01DC008524 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI BRIAN MACWHINNEY · 2007 to 2026
$7.0M
NIDCD NIH HHS R01 DC008524NIGMS NIH HHS P20 GM109089
6 · The paper itself

Abstract

Purpose Macrostructural narrative analyses are important clinical measures, revealing age-related declines and disorder-related impairments in the accuracy, completeness, logical sequencing, and organization of content. The current study aims to provide preliminary data on typical aging and psychometric evidence supporting multilevel Main Concept, Sequencing, and Story Grammar (MSSG) analyses that capture these aspects of narratives. Method Transcripts of

Indexed as

Communication DisordersNarrationAdultAgedHumansLinguisticsMiddle AgedPsychometricsReproducibility of Results

Identifiers

PMID32924890
PMCPMC8740559

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.