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Analysis and Interpretation

Advice for "thinking about the noise" and the value of adding mixed model analysis to your research toolkit

Advice for “thinking about the noise” and the value of adding mixed model analysis to your research toolkit Noisy data has a high degree of variability and a greater range — of scores, or reaction times, or whatever it is you’re measuring. In a lot of the cochlear implant studies...

The following slides accompanied a presentation delivered at ASHA’s Clinical Practice Research Institute. Another approach to analyzing data from group comparison studies. Instead of comparing means, dichotomize the event (outcome) of interest as “present” or “absent” in individual patients within the groups. Then compare the distribution of events in the...

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