Publication | Closed Access
Evaluating Intervention Effects in Single‐Case Research Designs
600
Citations
23
References
2015
Year
Family MedicineEvidence-based InterventionProgram ImplementationClinical SpecialtiesTreatment EffectEffect Size IndicesProgram EvaluationIntervention ScienceClinical TrialsSingle-subject DesignNew MethodsPublic HealthEvidence-based TherapyMeta-analysisPsychiatryHealth PolicyOutcomes ResearchIntervention MechanismIntervention EffectsVisual AnalysisAttention ControlClinical EffectivenessTime-varying ConfoundingMedicine
Single‐case research designs have primarily relied on visual analysis for determining treatment effects. However, current foci on evidence‐based treatment have given rise to the development of new methods. This article presents descriptions, calculations, strengths and weaknesses, and interpretative guidelines for 5 effect size indices: the percent of nonoverlapping data, the percent of data exceeding the median, improvement rate difference, nonoverlap of all pairs, and Tau‐U.
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