An Introduction to Equivalence Testing in Jamovi for Nonsignificant Results in Speech, Language, and Hearing Research.
Purpose: Evidence-based data analysis methods are crucial in clinical and translational research areas, including speech-language pathology and audiology. Although commonly used, null hypothesis significance testing (NHST) is limited with regards to the conclusions that can be drawn from results, pa...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 68; no. 8; pp. 4094 - 4106 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Speech-Language-Hearing Association
Aug2025
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=187402282&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 187402282 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Aug2025 vid: 68 iid: 8 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 187402282 10.1044/2025_JSLHR-22-00501 ppf: 4094 ppct: 12 formats: fmt: @attributes: type: P size: 1.1MB tig: atl: An Introduction to Equivalence Testing in Jamovi for Nonsignificant Results in Speech, Language, and Hearing Research. aug: au: Brydges, Christopher R. Gaeta, Laura affil: National Institutes of Health West Coast Metabolomics Center, University of California, Davis Department of Communication Sciences and Disorders, California State University, Sacramento su: Decision making Treatment of communicative disorders Null hypothesis Effect sizes (Statistics) Data analysis Graphic arts Statistical hypothesis testing T-test (Statistics) Computer software Audiology Speech-language pathology Communicative disorders research Statistics Data analysis software Health outcome assessment sug: subj: Decision making Treatment of communicative disorders Computer, computer peripheral and pre-packaged software merchant wholesalers Computer and Computer Peripheral Equipment and Software Merchant Wholesalers Computer and software stores Software publishers (except video game publishers) Null hypothesis Effect sizes (Statistics) Data analysis Graphic arts Statistical hypothesis testing T-test (Statistics) Computer software Audiology Speech-language pathology Communicative disorders research Statistics Data analysis software Health outcome assessment ab: Purpose: Evidence-based data analysis methods are crucial in clinical and translational research areas, including speech-language pathology and audiology. Although commonly used, null hypothesis significance testing (NHST) is limited with regards to the conclusions that can be drawn from results, particularly nonsignificant findings. Equivalence testing can be used to complement NHST and imply the presence of an effect large enough to be considered as meaningful. This tutorial provides an introduction to equivalence testing using jamovi, a free graphics-based statistics package that allows researchers to conduct a wide range of statistical analyses, including equivalence testing, in a clear and easy-to-interpret manner. Method and Results: Simulated examples of equivalence testing of independentsamples t tests, paired-samples t tests, and correlations were conducted in jamovi, with explanations and justifications of choosing the smallest effect size of interest and analysis options provided and statistical output explained and interpreted. These examples also demonstrate what equivalence testing can and cannot infer about a data set. Conclusions: Analyses of nonsignificant results, through the use of equivalence testing, are underutilized in speech, language, and hearing research. By complementing traditional NHST analyses with equivalence testing, researchers can directly test for the presence (or absence) of an observed effect large enough that may be considered meaningful, and therefore test for both statistical significance and practical/clinical significance, which allows researchers to draw more informative conclusions from their findings and provide clearer information for clinicians and researchers in the field. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|