Discrete trial training is a popular teaching method for individuals with autism, but is not easily implemented with fidelity due to its complexity. This is the first meta-analysis of single-case experimental design studies to quantify the impact of behavioral skills training on individuals' ability to implement discrete trials with fidelity.…

In 2020, the What Works Clearinghouse (WWC) for single-case experimental design (SCED) studies released an updated version of their standards and procedures handbook (Version 4.1). Because of these updates, there is a need to understand the implications for the field in terms of quality rating of the design, and subsequent synthesis of evidence at…

This study introduces an innovative meta-analytic approach, two-stage multilevel meta-analysis that considers the hierarchical structure of single-case experimental design (SCED) data. This approach is unique as it is suitable to include moderators at the intervention level, participant level, and study level, and is therefore especially…

A variety of measures have been developed to quantify intervention effects for single-case experimental design studies. Within the family of non-overlap indices, the Tau-U measure is one of the most popular indices. There are several Tau-U variants, each one calculated differently. The appropriateness of each Tau-U variant depends upon the data…

Hierarchical linear modeling (HLM) has been recommended as a meta-analytic technique for the quantitative synthesis of single-case experimental design (SCED) studies. The HLM approach is flexible and can model a variety of different SCED data complexities, such as intervention heterogeneity. A major advantage of using HLM is that participant…

This study investigated the power of two-level hierarchical linear modeling (HLM) to explain variability in intervention effectiveness between participants in context of single-case experimental design (SCED) research. HLM is a flexible technique that allows the inclusion of participant characteristics (e.g., age, gender, and disability types) as…

The COVID-19 outbreak emphasizes the need for alternative methods for data gathering and collaboration among researchers in a virtual research environment. One experimental design that is well suited in a social distancing research context is the single-case experimental design (SCD). SCDs can handle disruptions as: (a) they do not require large…

We have entered an era in which scientific evidence increasingly informs research practice and policy. As there is an exponential increase in the use of single-case experimental designs (SCEDs) to evaluate intervention effectiveness, there is accumulating evidence available for quantitative synthesis. Consequently, there is a growing interest in…

Single-Case Experimental Designs (SCEDs) have lately been recognized as a valuable alternative tolarge group studies. SCEDs form a great tool for the evaluation of treatment effectiveness in heterogeneous and low-incidence conditions, which are common in the field of communication disorders. Mediation analysis is indispensable in treatment…

Discrete trial training is a popular teaching method for individuals with autism, but it is not easily implemented with fidelity due to its complexity. This is the first meta-analysis of single-case experimental design studies to quantify the impact of behavioral skills training on individuals' ability to implement discrete trials with fidelity.…

The methodology of single-case experimental designs (SCED) has been expanding its efforts toward rigorous design tactics to address a variety of research questions related to intervention effectiveness. Effect size indicators appropriate to quantify the magnitude and the direction of interventions have been recommended and intensively studied for…