Many students in the upper elementary grades and beyond uniquely struggle with reading comprehension, necessitating explicit instruction and remediation in this area. This study used data-based decision-making (DBDM), a research-based systematic approach to student data collection and analysis, to intensify the evidence-based Strategies for Reading Information and Vocabulary Effectively (STRIVE) reading comprehension intervention. Results indicate that students who received DBDM to intensify STRIVE and students who received STRIVE alone outperformed students in a business-as-usual comparison condition on a researcher-designed vocabulary mastery measurement. Other findings, future directions, and implications for research and teaching are also discussed.

中文翻译：

---

使用学生数据强化阅读理解干预：试点研究

许多小学高年级及以上的学生在阅读理解方面存在独特的困难，需要在这方面进行明确的指导和补救。本研究使用基于数据的决策（DBDM），一种基于研究的系统方法来收集和分析学生数据，以强化基于证据的有效阅读信息和词汇策略（STRIVE）阅读理解干预。结果表明，在研究人员设计的词汇掌握测量中，在常规比较条件下，接受 DBDM 强化 STRIVE 的学生和仅接受 STRIVE 的学生表现优于学生。还讨论了其他发现、未来方向以及对研究和教学的影响。