4 research outputs found

    The role of engagement and academic behavioral skills on young students’ academic performance—A validation across four countries

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    peer reviewedThe aim of this study is to validate an instrument measuring students’ academic behavioral skills and engagement—skills identified as vital for student achievement. We inspect the reliability and validity of the survey with respect to item fit, factorial structure, relations with academic performance, and the fairness of the items across student groups. The fairness analyses are critical to making valid comparisons between groups and across countries. Data comprising 8520 grade 10 students from four countries were analysed using item response theory. We found that both scales were multidimensional, acted fairly across students’ gender, country, immigrant-, and socio-economic background (after removing four items), and were positively and significantly correlated with self-reported and performance-based academic performance. © 2020 Elsevier Lt

    The efficacy of acoustic-based articulatory phenotyping for characterizing and classifying four divergent neurodegenerative diseases using sequential motion rates

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    Despite the impacts of neurodegeneration on speech function, little is known about how to comprehensively characterize the resulting speech abnormalities using a set of objective measures. Quantitative phenotyping of speech motor impairments may have important implications for identifying clinical syndromes and their underlying etiologies, monitoring disease progression over time, and improving treatment efficacy. The goal of this research was to investigate the validity and classification accuracy of comprehensive acoustic-based articulatory phenotypes in speakers with distinct neurodegenerative diseases. Articulatory phenotypes were characterized based on acoustic features that were selected to represent five components of motor performance: Coordination, Consistency, Speed, Precision, and Rate. The phenotypes were first used to characterize the articulatory abnormalities across four progressive neurologic diseases known to have divergent speech motor deficits: amyotrophic lateral sclerosis (ALS), progressive ataxia (PA), Parkinson’s disease (PD), and the nonfluent variant of primary progressive aphasia and progressive apraxia of speech (nfPPA + PAOS). We then examined the efficacy of articulatory phenotyping for disease classification. Acoustic analyses were conducted on audio recordings of 217 participants (i.e., 46 ALS, 52 PA, 60 PD, 20 nfPPA + PAOS, and 39 controls) during a sequential speech task. Results revealed evidence of distinct articulatory phenotypes for the four clinical groups and that the phenotypes demonstrated strong classification accuracy for all groups except ALS. Our results highlight the phenotypic variability present across neurodegenerative diseases, which, in turn, may inform (1) the differential diagnosis of neurological diseases and (2) the development of sensitive outcome measures for monitoring disease progression or assessing treatment efficacy
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