Effect sizes in single-case aphasia studies (Archer et al., 2019)

Brent Archer, Jamie H. Azios, Nicole Müller & Lauren Macatangay
Purpose: In single-case treatment studies, researchers may compare client performance during a baseline, nontreatment phase(s) to client performance during intervention phases. Autocorrelation in the data series gathered during such studies increases the likelihood that analysts will detect or fail to detect meaningful differences between baseline and treatment phase data. We examined the impact that autocorrelation has on 4 effect size calculation methods when these methods are applied to data generated by people with aphasia during...
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