University of California, Merced

The purpose of this project is to extend previous work done through an IES-funded grant (A d-Estimator for Single Case Designs) by developing effect size measures that can account for trends when there is a repeated assessment of an outcome over time - and that can be used with outcome variables measured as count or rate data, which are common in single-case research. In addition, the research team will develop approaches to gauge the sensitivity of a planned study to detect effects and soft...

Although a number of methods exist for analyzing data from single-case designs, none yields an effect size estimator that is comparable to the commonly used effect size statistics in between-groups designs like the standardized mean difference statistic. This project developed such a d-statistic (represented as d) for single-case designs that is comparable to and in the same metric as the d-statistic from a between-groups experiment. This statistic will allow researchers to assess effects fr...

The purpose of this project is to develop meta-analytic methods for synthesizing one kind of nonrandomized experiment, the single-subject design. These designs are widely used in educational research settings (Kazdin, 2003; Kratochwill & Levin, 1992), and are among the strongest nonrandomized experiments (Shadish, Cook & Campbell, 2002). Although meta-analysis has been applied comparatively rarely to these designs, sufficient literature exists to believe that the time is propitious for fur...