Short Forms and Computerized Adaptive Tests With Monosyllabic Words Can Efficiently Measure Speech Recognition.
Purpose: Construct validity of the Northwestern University Auditory Test No. 6 (NU-6) monosyllabic word lists or shortened versions have not been examined using the Rasch measurement theory. The study purposes were to test the fit of the Rasch measurement model to monosyllabic word lists and whether...
| Publicado en: | American Journal of Audiology Vol. 35; no. 2; pp. 518 - 531 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194359727&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194359727 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10590889 5KS jtl: American Journal of Audiology issn: 10590889 maglogo: N pubinfo: dt: Jun2026 vid: 35 iid: 2 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 194359727 194359727 194359727 10.1044/2025_AJA-24-00240 194359727 ppf: 518 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Short Forms and Computerized Adaptive Tests With Monosyllabic Words Can Efficiently Measure Speech Recognition. aug: au: Seamon, Bryant A. Salvador, Craig Mathews, Lois J. Velozo, Craig A. Dubno, Judy R. McRackan, Theodore R. affil: Division of Physical Therapy, Department of Rehabilitation Sciences, College of Health Professions, Medical University of South Carolina, Charleston sug: subj: Computerized Adaptive Testing Word Lists Evaluation Speech Perception Evaluation Hearing Disorders Diagnosis Auditory Perception Evaluation Rasch Analysis Hearing Tests Evaluation Human Male Female Middle Age Aged Reproducibility of Results Sensitivity and Specificity Random Sample Prospective Studies Secondary Analysis Factor Analysis Models, Theoretical Precision Fisher's Exact Test Funding Source Cross Sectional Studies South Carolina Retrospective Design Record Review Speech Articulation Tests Confidence Intervals Pearson's Correlation Coefficient Descriptive Statistics Data Analysis Software Reliability and Validity Validation Studies Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Purpose: Construct validity of the Northwestern University Auditory Test No. 6 (NU-6) monosyllabic word lists or shortened versions have not been examined using the Rasch measurement theory. The study purposes were to test the fit of the Rasch measurement model to monosyllabic word lists and whether short forms and computerized adaptive testing can measure speech recognition. Method: A cross-sectional study design with 50 persons (average age = 71 years; 35 female, 15 male) with mild-to-moderate hearing loss was used to test the fit of NU-6 Word Lists 1 and 2 to the Rasch measurement model. Pearson's correlations quantified the accuracy of person measures from short forms or computer-adaptive testing simulations with measures from the full lists. Average standard error of person measures quantified measurement precision. Results: Word lists were unidimensional, had negligible misfit, and had high person reliability. Nineteen- and 11-word short forms were made per list. Person measures from 19-word short forms had a high linear association with person measures from the full word lists (List 1: r = .92, p < .0001, SE = 0.76; List 2: r = .91, p < .0001, SE = 0.74) compared to moderate association for the 11-word short form (List 1: r = .84, p < .0001, SE = 0.99; List 2: r = .81, p < .0001, SE = 0.97). Person measures from computerized adaptive testing simulation reached a correlation threshold, r > .90, after 15-20 words were administered for both lists. A precision-based stopping rule used an average of 18 ( List 1) or 20 (List 2) words. Conclusion: Short forms with 19 words and computerized adaptive testing may accurately and precisely measure speech recognition. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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