1. Establishing the Reliability and Validity of Web-based Singing Research
- Author
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Gary E. McPherson, Sarah J. Wilson, Isabelle Peretz, and Yi Ting Tan
- Subjects
business.industry ,05 social sciences ,Applied psychology ,Sample (statistics) ,behavioral disciplines and activities ,humanities ,050105 experimental psychology ,Task (project management) ,03 medical and health sciences ,0302 clinical medicine ,Convergent validity ,Cronbach's alpha ,Web application ,0501 psychology and cognitive sciences ,The Internet ,Singing ,Psychology ,business ,psychological phenomena and processes ,030217 neurology & neurosurgery ,Music ,Reliability (statistics) - Abstract
In this study, the robustness of an online tool for objectively assessing singing ability was examined by: (1) determining the internal consistency and test-retest reliability of the tool; (2) comparing the task performance of web-based participants (n = 285) with a group (n = 52) completing the tool in a controlled laboratory setting, and then determining the convergent validity between settings, and (3) comparing participants’ task performance with previous research using similar singing tasks and populations. Results indicated that the online singing tool exhibited high internal consistency (Cronbach’s alpha = .92), and moderate-to-high test-retest reliabilities (.65–.80) across an average 4.5-year-span. Task performance for web- and laboratory-based participants (n = 82) matched on age, sex, and music training were not significantly different. Moderate-to-large correlations (|r| =.31–.59) were found between self-rated singing ability and the various singing tasks, supporting convergent validity. Finally, task performance of the web-based sample was not significantly different to previously reported findings. Overall the findings support the robustness of the online tool for objectively measuring singing pitch accuracy beyond a controlled laboratory environment and its potential application in large-scale investigations of singing and music ability.
- Published
- 2021
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