An Introduction to Equivalence Testing in Jamovi for Nonsignificant Results in Speech, Language, and Hearing Research.
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| Title: | An Introduction to Equivalence Testing in Jamovi for Nonsignificant Results in Speech, Language, and Hearing Research. |
|---|---|
| Authors: | Brydges, Christopher R.1 christopherbrydges@gmail.com, Gaeta, Laura2 |
| Source: | Journal of Speech, Language & Hearing Research. Aug2025, Vol. 68 Issue 8, p4094-4105. 12p. |
| Subject Terms: | *Data analysis, *Computer software, *Decision making, *Speech-language pathology, Null hypothesis, Effect sizes (Statistics), Graphic arts, Statistical hypothesis testing, T-test (Statistics), Audiology, Communicative disorders research, Statistics, Treatment of communicative disorders, Data analysis software, Health outcome assessment |
| Abstract: | 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 187402282 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Introduction to Equivalence Testing in Jamovi for Nonsignificant Results in Speech, Language, and Hearing Research. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Brydges%2C+Christopher+R%2E%22">Brydges, Christopher R.</searchLink><relatesTo>1</relatesTo><i> christopherbrydges@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Gaeta%2C+Laura%22">Gaeta, Laura</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Speech%2C+Language+%26+Hearing+Research%22">Journal of Speech, Language & Hearing Research</searchLink>. Aug2025, Vol. 68 Issue 8, p4094-4105. 12p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br />*<searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Speech-language+pathology%22">Speech-language pathology</searchLink><br /><searchLink fieldCode="DE" term="%22Null+hypothesis%22">Null hypothesis</searchLink><br /><searchLink fieldCode="DE" term="%22Effect+sizes+%28Statistics%29%22">Effect sizes (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Graphic+arts%22">Graphic arts</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+hypothesis+testing%22">Statistical hypothesis testing</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Audiology%22">Audiology</searchLink><br /><searchLink fieldCode="DE" term="%22Communicative+disorders+research%22">Communicative disorders research</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Treatment+of+communicative+disorders%22">Treatment of communicative disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Health+outcome+assessment%22">Health outcome assessment</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/2025_JSLHR-22-00501 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 4094 Subjects: – SubjectFull: Data analysis Type: general – SubjectFull: Computer software Type: general – SubjectFull: Decision making Type: general – SubjectFull: Speech-language pathology Type: general – SubjectFull: Null hypothesis Type: general – SubjectFull: Effect sizes (Statistics) Type: general – SubjectFull: Graphic arts Type: general – SubjectFull: Statistical hypothesis testing Type: general – SubjectFull: T-test (Statistics) Type: general – SubjectFull: Audiology Type: general – SubjectFull: Communicative disorders research Type: general – SubjectFull: Statistics Type: general – SubjectFull: Treatment of communicative disorders Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Health outcome assessment Type: general Titles: – TitleFull: An Introduction to Equivalence Testing in Jamovi for Nonsignificant Results in Speech, Language, and Hearing Research. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Brydges, Christopher R. – PersonEntity: Name: NameFull: Gaeta, Laura IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10924388 Numbering: – Type: volume Value: 68 – Type: issue Value: 8 Titles: – TitleFull: Journal of Speech, Language & Hearing Research Type: main |
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