Conservative Dual-Criterion Method for Single-Case Research: A Guide for Visual Analysis of AB, ABAB, and Multiple-Baseline Designs
WCER Working Paper No. 2010-13
Christopher M. Swoboda, Thomas R. Kratochwill, and Joel R. Levin
December 2010, 25 pp.
ABSTRACT: Analyzing data visually from single-case designs can be challenging for researchers because there is often a lack of agreement among judges. Statistical analysis, by contrast, has perfect inter-rater reliability, but it can be complicated by sample size, choice of available tests, or other factors. The conservative dual-criterion (CDC) method is advanced here as an approach that lies between statistical analysis and visual analysis, providing a tool for consistent visual analysis guided by statistical theory. This paper provides resources for implementing the CDC method for AB designs as proposed by Fisher, Kelley, and Lomas (2003), extending the method to the more complicated ABAB and multiple baseline designs.
keywords: Single-Case Research Design; Visual Analysis; CDC Method; Multiple-Baseline Designs
