University of South Florida, Tampa, USA.
The University of Arizona, Tucson, USA.
Behav Modif. 2023 Nov;47(6):1320-1344. doi: 10.1177/0145445519847627. Epub 2019 May 12.
To strengthen the scientific credibility arguments for single-case intervention studies, randomization design-and-analysis methods have been developed for the multiple-baseline, ABAB, and alternating treatment designs, including options for preplanned designs, wherein the series and phase lengths are established prior to gathering data, as well as options for response-guided designs, wherein ongoing visual analyses guide decisions about when to intervene. Our purpose here is to develop randomization methods for another class of single-case design, the changing criterion design. We first illustrate randomization design-and-analysis methods for preplanned changing criterion designs and then develop and illustrate methods for response-guided changing criterion designs. We discuss the limitations associated with the randomization methods and the validity of the corresponding intervention-effect inferences.
为了增强单案例干预研究的科学可信度论证,已经为多基线、ABAB 和交替治疗设计开发了随机化设计和分析方法,包括预先规划设计的选项,其中系列和阶段长度在收集数据之前就已确定,以及响应指导设计的选项,其中正在进行的视觉分析指导何时进行干预的决策。我们在这里的目的是为另一种单案例设计,即变化标准设计,开发随机化方法。我们首先说明预先规划的变化标准设计的随机化设计和分析方法,然后开发和说明响应指导的变化标准设计的方法。我们讨论了与随机化方法相关的限制以及相应干预效果推断的有效性。