A proposal for the assessment of replication of effects in single‐case experimental designs

Abstract

In science in general and in the context of single-case experimental designs, replication of the effects of the intervention within and/or across participants or experiments is crucial for establishing causality and for assessing the generality of the intervention effect. Specific developments and proposals for assessing whether an effect has been replicated or not (or to what extent) are scarce, in the general context of behavioral sciences, and practically null in the singlecase experimental designs context. We propose an extension of the modified Brinley plot for assessing how many of the effects replicate. To make this assessment possible, a definition of replication is suggested, on the basis of expert judgment, rather than on statistical criteria. The definition of replication and its graphical representation are justified, presenting their strengths and limitations, and illustrated with real data. A user-friendly software is made available for obtaining automatically the graphical representation.

Naming: What Do We Know So Far? A Systematic Review

“…A first step towards assessing naming intervention effects across published studies could involve characterizing conditions (e.g., in terms of participants, study characteristics, etc.) under which a desired effect was present or not present (see, for example, Manolov et al, 2022 , for a recent tutorial on assessing intervention effects). It could be useful for a future study to map out the efficacy of a naming intervention to a participant’s baseline behavioral repertoire to identify what works for whom .…”