A Systematic Review of Applied Single-Case Research Published Between 2016 and 2018: Study Designs, Randomization, Data Aspects, and Analytical Methods

• In Event: Analysis and Meta-Analysis of Single-Case Experimental Data: Methodological Innovations and Complexities

Abstract

Single-case experimental designs (SCEDs) have become a popular research methodology in educational science, psychology, and beyond. The growing popularity has been accompanied by the development of specific guidelines for the conduct and analysis of SCEDs. In this paper, we examine recent practices in the conduct and analysis of SCEDs by systematically reviewing applied SCEDs published over a period of three years (2016-2018). Specifically, we were interested in which designs are most frequently used and how common randomization in the study design is, which data aspects applied single-case researchers analyze, and which analytical methods are used. The systematic review of 423 studies suggests that the multiple baseline design continues to be the most widely used design and that the average outcome level is by far most popular in SCED effect evaluation. Visual analysis paired with descriptive statistics is the most frequently used method of data analysis. However, inferential statistical methods and the inclusion of randomization in the study design are not uncommon. We discuss these results in light of the findings of earlier systematic reviews and suggest future directions for the development of SCED methodology.

Authors

• Rene Tanious, KU Leuven

• Patrick Onghena, KU Leuven