Project Activities
The research team will first derive the approximate sampling distributions of the design comparable effect sizes. They will then evaluate the accuracy of the distributions using Monte Carlo simulations of three different estimators of the effect size each for alternating treatments designs and for changing criterion designs.
People and institutions involved
IES program contact(s)
Project contributors
Products and publications
After any necessary mathematical adjustments and reevaluation, the researchers will develop software for calculating the effect size estimates; the software will be available in R and as a Shiny app online. Other products include manuscripts in methodological journals to support additional development of design comparable effect sizes and manuscripts in applied journals to facilitate the use of the effect size estimates by applied researchers.
Publications:
Batley, P. (2024). Should we compromise on n-of-1 data analyses?. BJPsych Advances, 30(5), 322-325.
Batley, P., Thamaran, M., & Hedges, L. V. (2024). ABkPowerCalculator: an app to compute power for balanced (AB) k single case experimental designs. Multivariate Behavioral Research, 59(2), 406-410.
Hedges, L.V., Shadish, W.R. & Natesan Batley, P. (2023). Power analysis for single-case designs: Computations for (AB)k designs. Behavior Research Methods, 55, 3494-3503.
Morin, K. L., Lindström, E. R., Kratochwill, T. R., Levin, J. R., Blasko, A., Weir, A., ... & Hong, E. R. (2024). Nonconcurrent multiple-baseline and multiple-probe designs in special education: A systematic review of current practice and future directions. Exceptional Children, 90(2), 126-147.
Natesan Batley, P., McClure, E. B., Brewer, B., Contractor, A. A., Batley, N. J., Hedges, L. V., & Chin, S. (2023). Evidence and reporting standards in N-of-1 medical studies: a systematic review. Translational Psychiatry, 13(1), 263.
Questions about this project?
To answer additional questions about this project or provide feedback, please contact the program officer.
