Barnard-Brak Lucy, Richman David M, Watkins Laci
University of Alabama, PO Box 870232, Tuscaloosa, AL 35487 USA.
Texas Tech University, PO Box 41071, Lubbock, TX 79409 USA.
Perspect Behav Sci. 2022 Feb 8;45(1):1-4. doi: 10.1007/s40614-022-00327-0. eCollection 2022 Mar.
The articles in this special section offer strategies to single-case experimental design (SCED) researchers to interpret their outcomes, communicate their results, and compare the results using common, quantitative results. Advancing quantitative methods applied to SCED data will facilitate communication with scientists and other professionals that do not typically interpret graphed data of the dependent variable. Horner and Ferron aptly note that innovative statistical procedures are improving the precision and credibility of SCED research as disseminate our findings to an increasingly diverse audience. This special section promotes the translation of these quantitative methods to encourage their adoption in research using single case experimental designs.
本特刊中的文章为单案例实验设计(SCED)研究人员提供了策略,以解释其研究结果、交流其成果,并使用常见的定量结果比较结果。推进应用于SCED数据的定量方法将有助于与那些通常不解读因变量图形数据的科学家和其他专业人员进行交流。霍纳和费伦恰当地指出,创新的统计程序正在提高SCED研究的精度和可信度,因为我们要将研究结果传播给越来越多样化的受众。本特刊促进这些定量方法的转化,以鼓励在使用单案例实验设计的研究中采用这些方法。