Mitteer Daniel R, Greer Brian D, Randall Kayla R, Briggs Adam M
University of Nebraska Medical Center's Munroe-Meyer Institute.
Behav Anal (Wash D C). 2020 May;20(2):81-93. doi: 10.1037/bar0000172. Epub 2019 Dec 23.
We replicated and extended Mitteer, Greer, Fisher, and Cohrs (2018) by examining the effects of a video model on inputting data into GraphPad Prism, which is a necessary skill for graph construction. We used a concurrent multiple-probe-across-behavior design with two behavior technicians to assess data-input and graphing skills separately prior to and during access to relevant video models. We evaluated the generality of the training procedures by assessing both skills during data-input-plus-graphing sessions without access to the video models. The video models resulted in mastery of data-input and graphing skills when assessed individually. We observed training effects generalize to data-input-plus-graphing sessions once behavior technicians experienced all relevant video models. These results suggest that individuals should view both data-input and graphing video models prior to depicting single-case design data in Prism but that these skills can maintain at high levels of accuracy without continued access to the training materials.
我们重复并扩展了米特尔、格里尔、费舍尔和科尔斯(2018年)的研究,通过考察视频模型对在GraphPad Prism软件中输入数据的影响,这是构建图表的一项必要技能。我们采用了由两名行为技术员实施的跨行为并发多探针设计,在接触相关视频模型之前和期间分别评估数据输入和绘图技能。我们通过在无法使用视频模型的情况下评估数据输入加绘图环节中的两种技能,来评估训练程序的通用性。单独评估时,视频模型使数据输入和绘图技能得以掌握。我们观察到,一旦行为技术员体验了所有相关视频模型,训练效果就能推广到数据输入加绘图环节。这些结果表明,个体在Prism软件中描绘单病例设计数据之前应观看数据输入和绘图视频模型,但即使不再使用训练材料,这些技能也能保持较高的准确性。