A multiple randomization testing procedure for level, trend, variability, overlap, immediacy, and consistency in single-case phase designs.

We present an approach to draw multiple and powerful inferences for each data aspect of single-case ABAB phase designs: level, trend, variability, overlap, immediacy, and consistency of data patterns. We show step-by-step how effect size measures can be calculated for each data aspect and subsequent...

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Detalles Bibliográficos

Publicado en:	Behaviour Research & Therapy Vol. 119; pp. 103414 - 103415
Autores principales:	Tanious, René, De, Tamal Kumar, Onghena, Patrick
Formato:	Artículo
Publicado:	Elsevier B.V. Aug2019
Materias:	False positive error False discovery rate Randomization (Statistics) Computer software
Acceso en línea:	Ver este registro en EBSCOhost