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Analysis and Interpretation | CREd Library

Noisy Data: Incorporating Variability into Your Analysis

Richard Schwartz
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 we're doing now, we're using eye tracking. So for us it would be more variability in how they ... Continue to Article >>

Event-Based Measures of Effect Size

Chris Dollaghan
The following slides accompanied a presentation delivered at ASHA's Clinical Practice Research Institute. Event-based measures of treatment effects 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 ... Continue to Article >>