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Systematic Review of Descriptions and Justifications Provided for Single-Case Quantification Techniques.
Behavior Modification ( IF 2.692 ) Pub Date : 2023-05-30 , DOI: 10.1177/01454455231178469
Joelle Fingerhut 1 , Mariola Moeyaert 2 , Rumen Manolov 3 , Xinyun Xu 2 , Kyung Hyun Park 4
Affiliation  

There are currently a multitude of quantification techniques that have been developed for use with single-case designs. As a result, choosing an appropriate quantification technique can be overwhelming and it can be difficult for researchers to properly describe and justify their use of quantification techniques. However, providing clear descriptions and justifications is important for enhancing the credibility of single-case research, and allowing others to evaluate the appropriateness of the quantification technique used. The aim of this systematic literature review is to provide an overview of the quantification techniques that are used to analyze single-case designs, with a focus on the descriptions and justifications that are provided. A total of 290 quantifications occurred across 218 articles, and the descriptions and justifications that were provided for the quantification techniques that were used are systematically examined. Results show that certain quantification techniques, such as the non-overlap indices, are more commonly used. Descriptions and justifications provided for using the quantification techniques are sometimes vague or subjective. Single-case researchers are encouraged to complement visual analysis with the use of quantification techniques for which they can provide objective and appropriate descriptions and justifications, and are encouraged to use tools to guide their choice of quantification techniques.

中文翻译:

对单案例量化技术的描述和理由进行系统审查。

目前已经开发出多种用于单案例设计的量化技术。因此,选择合适的量化技术可能会让人不知所措,并且研究人员也很难正确描述和证明他们使用量化技术的合理性。然而,提供清晰的描述和理由对于提高单例研究的可信度并允许其他人评估所使用的量化技术的适当性非常重要。本系统文献综述的目的是概述用于分析单例设计的量化技术,重点关注所提供的描述和理由。218 篇文章中总共进行了 290 次量化,并对所使用的量化技术提供的描述和理由进行了系统检查。结果表明,某些量化技术(例如非重叠指数)更常用。为使用量化技术而提供的描述和理由有时是模糊的或主观的。鼓励单案例研究人员使用量化技术来补充视觉分析,他们可以为此提供客观和适当的描述和理由,并鼓励使用工具来指导他们选择量化技术。
更新日期:2023-05-30
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