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Educational Psychology Commons

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Psychology Faculty Publications

Communication Sciences and Disorders

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Full-Text Articles in Educational Psychology

Intervention Research To Increase Pediatric Hearing Device Use: A Scoping Review, Karen F. Munoz, Diana Ortiz, Cameron Bolinger, Michael P. Twohig Jan 2022

Intervention Research To Increase Pediatric Hearing Device Use: A Scoping Review, Karen F. Munoz, Diana Ortiz, Cameron Bolinger, Michael P. Twohig

Psychology Faculty Publications

Purpose: This study is a scoping review examining interventions to increase hearing device use for children.

Method: Online databases were used to identify peer-reviewed journal articles published prior to November 1, 2021, yielding 1,288 after duplications were removed. Four articles met the inclusion criteria after articles were screened by title name and abstract and subsequent full-text screening of six articles. A qualitative analysis was conducted to identify features of the intervention studies related to the participants, design, intervention, key findings, and limitations.

Results: The included studies were published between 1982 and 2021, and in all four studies, the children used …


Autoscore: An Open-Source Automated Tool For Scoring Listener Perception Of Speech, Stephanie A. Borrie, Tyson S. Barrett, Sarah E. Yoho Leopold Jan 2019

Autoscore: An Open-Source Automated Tool For Scoring Listener Perception Of Speech, Stephanie A. Borrie, Tyson S. Barrett, Sarah E. Yoho Leopold

Psychology Faculty Publications

Speech perception studies typically rely on trained research assistants to score orthographic listener transcripts for words correctly identified. While the accuracy of the human scoring protocol has been validated with strong intra- and inter-rater reliability, the process of hand-scoring the transcripts is time-consuming and resource intensive. Here, an open-source computer-based tool for automated scoring of listener transcripts is built (Autoscore) and validated on three different human-scored data sets. Results show that not only is Autoscore highly accurate, achieving approximately 99% accuracy, but extremely efficient. Thus, Autoscore affords a practical research tool, with clinical application, for scoring listener intelligibility of speech.