Moeyaert, M., & Fingerhut, J. (in press). Quantitative synthesis of personalized trials studies using meta-analysis: Overview methods and application. Harvard Data Science Review.

Fingerhut, J., & Moeyaert, M. (2022). Training individuals to implement discrete trials with fidelity: A meta-analysis. Focus on Autism and other Developmental Disabilities. https://doi.org/10.1177/10883576221081076

Manolov, R., Moeyaert, M., & Fingerhut, J. (2022). A priori justification for effect measures in single-case experimental designs. Perspectives on Behaviour Science, 45, 153-186. https://doi.org/10.1007/s40614-021-00282-2

Fingerhut, J., Xu, X., & Moeyaert, M. (2021). Impact of within-case variability on Tau-U indices and the hierarchical linear modeling approach for multiple-baseline design data: A Monte Carlo simulation study. Evidence-Based Communication Assessment and Intervention, 15(3), 115-141. https://doi.org/10.1080/17489539.2021.1933727

Fingerhut, J., Xu, X., & Moeyaert, M. (2021). Selecting the proper Tau-U measure for single-case experimental designs: Development and application of a decision flowchart. Evidence-Based Communication Assessment and Intervention, 15(3), 99-114. https://doi.org/10.1080/17489539.2021.1937851