| Abstract: Purpose: This presentation will demonstrate use of a protocol that provides statistical support for visual analysis of single-case experiments in a manner that comports with logic offer by Baer, Wolf, and Risley.
Background: Single-Case experiments use repeated measurements, baseline-logic, and visual analysis of graphic displays to assess the influence of a treatment (IV) on a behavior, skill, or capacity (DV).
Method: A protocol described by Portney & Watkins (2015) uses celeration and best-fit lines from baseline data to forecast performance expected if a treatment had no effect. A binomial test determines the probability that the pattern of performance that appears during treatment might have occurred by chance.
Discussion: Advantages of using these supplemental analysis tools include: (A) The logic parallels the logic typically used in single-case experiments, and (B) The resulting statistic estimates the likelihood that a conclusion drawn through visual analysis is valid.
Potential Impact: Use of the protocol may enhance confidence in single-case research findings, particularly with audiences that favor group-comparison designs.
Reference: Portney, L.G, & Watkins, M.P. (2015). Foundations of clinical research: Applications to practice, 3rd ed. Pearson-Prentice Hall. |