Statistical Methods in Audiology Research
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This journal self-study course is
composed of papers from a 2019 Research Forum, Advancing Statistical Methods in
Speech, Language, and Hearing Sciences. These selected articles provide
advanced-level discussion about clinically relevant statistical methodologies
to give audiologists a strong foundation from which to analyze and understand
the statistical research they come across to decide when and how to apply it in
practice. The articles examine frequential and Bayesian statistical methods as
well as propensity scores and linear-mixed model analyses.
Learning Outcomes
You will be able to:
- Describe best practices in basic and more advanced inferential
statistics that avoid errors and find true clinical significance
- Summarize the difference between frequential and Bayesian
analyses as well as potential applications of each
- Explain how propensity score matching reduces selection
bias for studies in which randomized control trials are not feasible
- Explain how linear-mixed model analysis improves statistical
accuracy in cases of missing data
Assessment Type
Self-assessment—Think about what you learned and
report on the Completion Form how you will use your new knowledge.
Articles in This
Course
- Essential Statistical Concepts for Research in Speech, Language, and Hearing Sciences, by Jacob J. Oleson, Grant D. Brown, & Ryan McCreery, published in
Journal
of Speech, Language, and Hearing Research
- The Evolution of Statistical Methods in Speech, Language, and Hearing Sciences, by Jacob J. Oleson, Grant D. Brown, & Ryan McCreery, published in
Journal
of Speech, Language, and Hearing Research
- Bayesian Applications in Auditory Research, by Garnett P. McMillan & John B. Cannon, published in
Journal
of Speech, Language, and Hearing Research
- Using Propensity Score Matching to Address Clinical Questions: The Impact of Remote Microphone Systems on Language Outcomes in Children Who Are Hard of Hearing, by Maura Curran, Elizabeth A. Walker, Patricia Roush, & Meredith Spratford, published in Journal
of Speech, Language, and Hearing Research
- Linear Mixed-Model Analysis to Examine Longitudinal Trajectories in Vocabulary Depth and Breadth in Children Who Are Hard of Hearing, by Elizabeth A. Walker, Alexandra Redfern, & Jacob J. Oleson, published in Journal
of Speech, Language, and Hearing Research
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