SCED Tools and Resources: Online Calculators
SCED Tools and Resources provide researchers with practical methods for analyzing single-case experimental design data, estimating effect sizes, and supporting evidence synthesis. These resources include online calculators, R packages, tutorials, and related materials that help make advanced methodological approaches more accessible.
Shiny app bcirr
The bcirr Shiny app provides a user-friendly web interface for estimating BC-IRR effect sizes in SCED count data, making design-comparable IRR methods accessible to applied researchers without direct R coding.
Vidoes
Tutorial videos: coming soon…
SCED Tools and Resources: R Packages
Package bcirr
Bcirr is an R package designed for the analysis of Single-Case Experimental Design (SCED) count data using Between-Case Incidence Rate Ratios (BC-IRR). It addresses a critical methodological gap in SCED research by providing design-comparable, ratio-scale effect sizes for count outcomes. (The website is now empty. However, the link will be this one.)
Package lmeSCED
lmeSCED is an R package designed for the analysis of Single-Case Experimental Design (SCED) data using Multilevel Modeling (MLM). It addresses two critical methodological challenges inherent in SCED data: autocorrelation and small sample sizes.