Image of Joelle Fingerhut

Contact Information

Academic School

School of Social and Behavioral Sciences

Office

51 Fulton Street, Room 138

Email

Phone

(845) 575-3000 ext. 2894

Joelle Fingerhut

Assistant Professor of Education

Bio

Joelle Fingerhut has taught children with disabilities in a variety of roles, including as a literacy interventionist, behavior therapist, case manager, and teacher, and in various states across the U.S. as well as in the Middle East. She has experience teaching special education teacher preparation courses and supervising teacher candidates in their teaching placements. She most recently worked at Rutgers University, where she provided professional development on evidence-based behavioral interventions to teaching assistants and teachers.

Dr. Fingerhut has presented her research at national and international conferences and published in journals such as Focus on Autism and Other Developmental Disabilities and Evidence-Based Communication Assessment and Intervention. In her free time, Dr. Fingerhut enjoys running, playing board games, reading, and photography. She is excited to join the Education department at Marist and support the teacher candidates!


Education

PhD, Educational Psychology and Methodology, University at Albany (SUNY), 2021
MSEd, Special Education, Simmons University, 2017
BA, Psychology/English, Ithaca College, 2013


Research Interests / Areas of Focus

Single-case design, evidence-based practices, teacher preparation, autism, culture and special education


Selected Publications

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