ReviewJournal of speech, language, and hearing research : JSLHR2019
The Evolution of Statistical Methods in Speech, Language, and Hearing Sciences.
Review in Journal of speech, language, and hearing research : JSLHR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Studies pertaining to language impairment in school-age autistic individuals underreport participant socio-demographics: A systematic review.Autism : the international journal of research and practice · 2023Pooled it
- Cochlear Implantation in Cases of Asymmetric Hearing Loss: Subjective Benefit, Word Recognition, and Spatial Hearing.Trends in hearingTrial
- Stimulus Labels Support Declarative but Not Procedural Memory in Children With and Without Hearing Loss.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Capturing the Heterogeneity of Word Learners by Analyzing Persons.Behavioral sciences (Basel, Switzerland) · 2024Article
- Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing Overfitting.Journal of speech, language, and hearing research : JSLHR · 2024Article
- A Bayesian statistics tutorial for clinical research: Prior distributions and meaningful results for small clinical samples.Journal of clinical psychology · 2023Article
- Comparison of Two Place-Based Mapping Procedures on Masked Sentence Recognition as a Function of Electrode Array Angular Insertion Depth and Presence of Acoustic Low-Frequency Information: A Simulation Study.Audiology & neuro-otology · 2023Article
- Auditory Experience, Speech Sound Production Growth, and Early Literacy in Children Who Are Hard of Hearing.American journal of speech-language pathology · 2022Article
- Effect of Place-Based Versus Default Mapping Procedures on Masked Speech Recognition: Simulations of Cochlear Implant Alone and Electric-Acoustic Stimulation.American journal of audiology · 2022Article
- Young Adults With Acquired Brain Injury Show Longitudinal Improvements in Cognition After Intensive Cognitive Rehabilitation.Journal of speech, language, and hearing research : JSLHR · 2022Article
- Voice Handicap Index Changes After Microflap Surgery for Benign Vocal Fold Lesions Are Not Associated With Recommended Absolute Voice Rest Duration.American journal of speech-language pathology · 2022Article
- Influence of Audibility and Distortion on Recognition of Reverberant Speech for Children and Adults with Hearing Aid Amplification.Journal of the American Academy of Audiology · 2022Article
- What Children with Developmental Language Disorder Teach Us About Cross-Situational Word Learning.Cognitive science · 2022Article
- Statistical Considerations for Analyzing Ecological Momentary Assessment Data.Journal of speech, language, and hearing research : JSLHR · 2022Review
- Language Growth in Children with Mild to Severe Hearing Loss who Received Early Intervention by 3 Months or 6 Months of Age.Journal of early hearing detection and intervention · 2022Article
- The effect of fundamental frequency contour similarity on multi-talker listening in older and younger adults.The Journal of the Acoustical Society of America · 2020Article
- Effect of level on spectral-ripple detection threshold for listeners with normal hearing and hearing loss.The Journal of the Acoustical Society of America · 2020Article
- Low-Frequency Hearing Preservation With Long Electrode Arrays: Inclusion of Unaided Hearing Threshold Assessment in the Postoperative Test Battery.American journal of audiology · 2020Article
- Emotional Reactivity and Regulation in Preschool-Age Children Who Do and Do Not Stutter: Evidence From Autonomic Nervous System Measures.Frontiers in human neuroscience · 2020Article
- Essential Statistical Concepts for Research in Speech, Language, and Hearing Sciences.Journal of speech, language, and hearing research : JSLHR · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Purpose Scientists in the speech, language, and hearing sciences rely on statistical analyses to help reveal complex relationships and patterns in the data collected from their research studies. However, data from studies in the fields of communication sciences and disorders rarely conform to the underlying assumptions of many traditional statistical methods. Fortunately, the field of statistics provides many mature statistical techniques that can be used to meet today's challenges involving complex studies of behavioral data from humans. In this review article, we highlight several techniques and general approaches with promising application to analyses in the speech and hearing sciences. Method The goal of this review article is to provide an overview of potentially underutilized statistical methods with promising application in the speech, language, and hearing sciences. Results We offer suggestions to identify when alternative statistical approaches might be advantageous when analyzing proportion data and repeated measures data. We also introduce the Bayesian paradigm and statistical learning and offer suggestions for when a scientist might consider those methods. Conclusion Modern statistical techniques provide more flexibility and enable scientists to ask more direct and informative research questions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.