The Perfect Number Six: Comprehensively Analyzing Data obtained from Single-Case Experimental Designs

The aim of this PhD project is to introduce analytical techniques to analyze data obtained from single-case experimental designs (SCEDs) in terms of level, trend, variability, overlap, immediacy, and consistency. The development of a quantification to assess the consistency of data patterns from similar phases and the consistency of the replications of a potential effect is a first step to this end. We apply the developed quantification for assessing the degree of consistency of data patterns in the published literature by means of a systematic review to derive benchmarks for interpretation. Furthermore, we show how various effect size measures can be incorporated into a comprehensive approach for testing the significance of each data aspect with adequate Type I error rate control. To that end, we introduce randomization as an important mechanism for increasing the internal and statistical conclusion validity. Finally, a systematic review was conducted to find out which SCED forms are most often used, which data aspects applied researchers analyze, and how common randomization is in the study design.

Publication year:2021

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