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Data-Based Decision Making for Social Behavior: Setting a Research Agenda
Journal of Positive Behavior Interventions ( IF 2.597 ) Pub Date : 2019-09-17 , DOI: 10.1177/1098300719876098
Allison L. Bruhn 1 , Joseph H. Wehby 2 , Ted S. Hasselbring 2
Affiliation  

With the advent of Precision Teaching more than 50 years ago, researchers and practitioners began to examine how to use K-12 students’ academic data to guide instructional decisions. Although the field has advanced with the use of curriculum-based measurement and data-driven decision rules for reading and math, the same is not true in the area of social behavior. In this article, we provide a brief retrospective of academic decision making to inform an initial call for research related to behavioral decision making. Then, we highlight areas for exploration related to baseline data, measurement tools, and features of behavior that, if answered via rigorous scientific inquiry, can move the field forward in making data-based decisions to improve behavioral outcomes.

中文翻译:

基于数据的社会行为决策:设定研究议程

五十多年前,随着精确教学的出现,研究人员和从业人员开始研究如何使用K-12学生的学术数据来指导教学决策。尽管该领域在基于课程的测量和数据驱动的阅读和数学决策规则方面取得了进步,但在社会行为领域却并非如此。在本文中,我们将对学术决策进行简要回顾,以为与行为决策相关的研究的初步呼吁提供参考。然后,我们重点介绍与基线数据,度量工具和行为特征有关的探索领域,如果通过严格的科学询问予以回答,则可以推动该领域在制定基于数据的决策以改善行为结果方面向前发展。
更新日期:2019-09-17
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