Evidence map›Paper›PMID 36542852›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2023

Reproducibility in Small-

Robert Cavanaugh, Yina M Quique, Alexander M Swiderski, Lydia Kallhoff, Lauren Terhorst, Julie Wambaugh, William D Hula, William S Evans

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Cognitive Functions Supporting Learning Over Time in Naming Treatment for Aphasia.Journal of speech, language, and hearing research : JSLHR · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Robert CavanaughDepartment of Communication Science and Disorders, University of Pittsburgh, PA.ORCID 0000-0002-2114-6565
Yina M QuiqueCenter for Education in Health Sciences and Shirley Ryan Ability Lab, Northwestern University, Evanston, IL.ORCID 0000-0001-9129-4742
Alexander M SwiderskiDepartment of Communication Science and Disorders, University of Pittsburgh, PA.ORCID 0000-0001-7438-8667
Lydia KallhoffDepartment of Communication Sciences and Disorders, University of Utah, Salt Lake City.ORCID 0000-0003-4038-3694
Lauren TerhorstDepartment of Occupational Therapy, University of Pittsburgh, PA.
Julie WambaughDepartment of Communication Sciences and Disorders, University of Utah, Salt Lake City.ORCID 0000-0002-9888-0274
William D HulaDepartment of Communication Science and Disorders, University of Pittsburgh, PA.ORCID 0000-0003-1635-0753
William S EvansDepartment of Communication Science and Disorders, University of Pittsburgh, PA.ORCID 0000-0001-5124-3473

Funding

Determinants of multilevel discourse outcomes in anomia treatment for aphasiaF31DC019853 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAVANAUGH, ROBERT · 2021 to 2022
$49k
NIDCD NIH HHS F31 DC019853
6 · The paper itself

Abstract

purposeSmall-

methodWe provide a tutorial on reproducible analyses of small-

resultsReproducible code demonstrates implementation and comparison of within-case standardized mean difference, proportion of maximal gain, tau-U, and frequentist and Bayesian mixed-effects models. Data, code, and an interactive web application are available as a resource for researchers, clinicians, and students.

conclusionsPursuing reproducible research is key to promoting transparency in small-

Indexed as

AphasiaBayes TheoremCommunicationHumansReproducibility of ResultsStudents

Identifiers

PMID36542852
PMCPMC10465158

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.