Further Evaluation of Teaching Behavior Technicians to Input Data and Graph Using GraphPad Prism.

Behavior analysis (Washington, D.C.) Pub Date : 2020-05-01 Epub Date: 2019-12-23 DOI:10.1037/bar0000172
Daniel R Mitteer, Brian D Greer, Kayla R Randall, Adam M Briggs
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引用次数: 20

Abstract

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.

技术人员用GraphPad棱镜输入数据和图形教学行为的进一步评价。
我们复制并扩展了Mitteer, Greer, Fisher和Cohrs(2018),通过检查视频模型对将数据输入GraphPad Prism的影响,这是图形构建的必要技能。我们与两名行为技术人员一起使用并行的跨行为多探针设计,分别在访问相关视频模型之前和期间评估数据输入和绘图技能。我们在不使用视频模型的情况下,通过在数据输入和绘图过程中评估这两种技能来评估训练程序的通用性。单独评估时,视频模型使学生掌握了数据输入和绘图技能。我们观察到,一旦行为技术人员体验了所有相关的视频模型,训练效果就会推广到数据输入加绘图的课程。这些结果表明,在Prism中描述单个案例设计数据之前,个人应该同时查看数据输入和绘图视频模型,但这些技能可以在不继续访问培训材料的情况下保持高水平的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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