Different randomized multiple-baseline models for different situations: A practical guide for single-case intervention researchers

Single-case researchers often implement multiple-baseline designs as their preferred methodology for intervention evaluations. Recent writings and empirical investigations have argued in favor of incorporating various forms of randomization into such designs for the purpose of elevating the intervention study's internal validity and scientific credibility. In this article, we consider a variety of randomized multiple-baseline designs and associated randomization statistical tests, along with their potential strengths and limitations. In what amounts to a practical guide, we refer school psychology researchers to these versatile randomization procedures for planning and executing their intervention studies.