Evidence map›Paper›PMID 38629881›Full record

ArticleThe Journal of the Acoustical Society of America2024

Conducting high-quality and reliable acoustic analysis: A tutorial focused on training research assistants.

Elizabeth Heller Murray

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2024. 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
  2. Instrumental Voice Evaluation in Children: What Are We Getting?American journal of speech-language pathology · 2025
    Observational
  3. Article
  4. Voiced-Voiceless Consonant Distinction in Children With Vocal Fold Nodules: A Preliminary Study.Journal of voice : official journal of the Voice Foundation · 2025
    Article
  5. 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

1 author.

Elizabeth Heller MurrayDepartment of Communication Sciences and Disorders, Temple University, Philadelphia, Pennsylvania 19122, USA.ORCID 0000-0002-7525-6823

Funding

Using Infant Non-Nutritive Suck as a Diagnostic Measure of Future Speech FunctionR01DC019902 · NIDCD · NORTHEASTERN UNIVERSITY · PI Emily Zimmerman · 2022 to 2026
$3.6M
NIDCD NIH HHS R01 DC019902
6 · The paper itself

Abstract

Open science practices have led to an increase in available speech datasets for researchers interested in acoustic analysis. Accurate evaluation of these databases frequently requires manual or semi-automated analysis. The time-intensive nature of these analyses makes them ideally suited for research assistants in laboratories focused on speech and voice production. However, the completion of high-quality, consistent, and reliable analyses requires clear rules and guidelines for all research assistants to follow. This tutorial will provide information on training and mentoring research assistants to complete these analyses, covering areas including RA training, ongoing data analysis monitoring, and documentation needed for reliable and re-creatable findings.

Indexed as

VoiceVoice DisordersAcousticsHumansSpeech

Identifiers

PMID38629881
PMCPMC11026110

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.