title: Sequential meta-analysis of single-case experimental data.
abstract: In this article, sequential meta-analysis is presented as a method for determining the sufficiency of cumulative knowledge in single-case research synthesis. Sufficiency addresses the question of whether there is enough cumulative knowledge on a topic to yield convincing statistical evidence. The method combines cumulative meta-analysis of single-case experimental data with formal sequential testing. After describing the underlying statistical techniques, a strategy for conducting a sequential single-case meta-analysis is illustrated using a real meta-analytic database. The sequential methodology may serve as a valuable tool for behavioral researchers to guide them in making optimal use of limited resources.
authors: Methodology of Educational Sciences Research Group, Faculty of Psychology and Educational Sciences, Katholieke Universiteit Leuven, Andreas Vesaliusstraat 2, P.O. Box 3762, 3000, Leuven, Belgium. Sofie.Kuppens@ped.kuleuven.be
authors: Sofie
authors: S
authors: Kuppens
authors: Mieke
authors: M
authors: Heyvaert
authors: Wim
authors: W
authors: Van den Noortgate
authors: Patrick
authors: P
authors: Onghena
mesh_terms: D003627:Data Interpretation, Statistical; D015201:Meta-Analysis as Topic; D016032:Randomized Controlled Trials as Topic; D012107:Research Design