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Different randomized multiple-baseline models for different situations: A practical guide for single-case intervention researchers
Journal of School Psychology ( IF 6.033 ) Pub Date : 2021-05-11 , DOI: 10.1016/j.jsp.2021.03.003
Joel R Levin 1 , John M Ferron 2
Affiliation  

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.



中文翻译:

不同情况下的不同随机多基线模型:单例干预研究人员的实用指南

单案例研究人员经常实施多基线设计作为他们首选的干预评估方法。最近的著作和实证调查支持将各种形式的随机化纳入此类设计,以提高干预研究的内部有效性和科学可信度。在本文中,我们考虑了各种随机多基线设计和相关的随机统计检验,以及它们的潜在优势和局限性。在实用指南中,我们将学校心理学研究人员推荐给这些通用的随机化程序,以规划和执行他们的干预研究。

更新日期:2021-05-11
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