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...

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Publicado en:Journal of Speech, Language & Hearing Research Vol. 68; no. 8; pp. 4094 - 4106
Autores principales: Brydges, Christopher R., Gaeta, Laura
Formato: Artículo
Publicado: American Speech-Language-Hearing Association Aug2025
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Acceso en línea:Ver este registro en EBSCOhost
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        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
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