Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.
PLoS One. 2020 Feb 6;15(2):e0228355. doi: 10.1371/journal.pone.0228355. eCollection 2020.
A randomization test can be used to statistically test hypotheses in multiple baseline designs to complement the commonly used visual inspection analysis. A crossed factor simulation study was performed to investigate the power of a randomization test in an multiple baseline design. The results show that the degree of autocorrelation of the observations, the number of participants, the effect size, the overlap of possible start moments of the intervention between participants, the ratio of the number of measurements in the baseline- and intervention phase, a gradually emerging effect, and the number of measurements had strong main effects on the power. The two-way interactions between number of participants and effect size, and between the number of measurements and the number of start moments of the intervention also had a large effect. An online tool was developed to calculate the power of a multiple baseline design given several design characteristics.
随机化检验可用于对多个基线设计中的假设进行统计检验，以补充常用的视觉分析。进行了交叉因子模拟研究，以调查随机化检验在多个基线设计中的功效。结果表明，观察的自相关程度、参与者人数、效应大小、干预可能开始时刻在参与者之间的重叠、基线和干预阶段测量次数的比例、逐渐出现的效应以及测量次数对功效有强烈的主要影响。参与者人数和效应大小之间以及测量次数和干预开始时刻之间的两个双向相互作用也有很大的影响。开发了一个在线工具，可根据几个设计特征计算多个基线设计的功效。
