Size matters! Assessing effect sizes in single-case experiments using randomization tests with applications for the treatment of chronic pain. KU Leuven
This dissertation concerns the use of randomization tests (RTs) for the analysis of experimental data from single-case experimental designs (SCEDs). This type of data often exhibit characteristics that violate the statistical assumptions made by parametric significance tests. For this reason the RT has been proposed as a viable technique for single-case data analysis as it does not require distributional assumptions or an assumption of random ...