Modern Meta-Analysis Research Institute

现代荟萃分析研究所

• 批准号: 1937642
• 负责人: Therese Pigott
• 金额: $ 71.95万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1937642&HistoricalAwards=false
• 关键词: Modern; Meta; Analysis; Research; Institute

The project is supported through the EHR Core Research: Building Capacity in STEM Education Research (ECR: BCSER) competition that is designed to build individual capacity to carry out high quality fundamental STEM education research in STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development. The goal of the Modern Meta-Analysis Research Institute (MMARI) is to improve the quality of meta-analyses conducted in STEM education by increasing the capacity of STEM researchers to conduct high quality meta-analyses. The training will enable graduate students and early career scholars to broaden their expertise and skills to conduct rigorous research on STEM. The training Institute will focus on the recruitment of scholars from underrepresented minorities in STEM. Participants will learn to conduct a high-quality meta-analysis, developing the requisite background to continue to grow their knowledge as new methods are developed. Increasing the capacity of the field to conduct high quality meta-analyses is essential to foster new and more effective interventions in STEM education through understanding what interventions work for whom and under what conditions.The 5-day workshop will provide STEM researchers with a comprehensive, introductory meta-analysis Research Institute focused on state-of-the-art methods including use of the program R. This Research Institute is specifically targeted to early-career STEM education researchers with no previous experience with meta-analysis. Unlike other introductory workshops, the content of this workshop will provide data analysis skills in R to implement best-practice statistical methods. At the conclusion of the workshop, participants should be able to: use R for meta- analysis; understand differences between effect sizes and compute effect sizes from the most common types of data reported in studies; specify an appropriate meta-analysis model; estimate and report both an average effect size and the extent of variation in effect sizes; explore and interpret heterogeneity of effect sizes using meta-regression models, and conduct appropriate publication bias analyses and interpret the effect of possible bias on findings.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目通过EHR核心研究：STEM教育研究能力建设（ECR：BCSER）竞赛获得支持，该竞赛旨在培养个人能力，以便在STEM学习和学习环境中开展高质量的基础STEM教育研究，扩大STEM领域的参与，以及STEM劳动力发展。现代荟萃分析研究所（MMARI）的目标是通过提高STEM研究人员进行高质量荟萃分析的能力来提高STEM教育中进行的荟萃分析的质量。该培训将使研究生和早期职业学者能够拓宽他们的专业知识和技能，以进行严格的STEM研究。培训学院将侧重于从STEM领域代表性不足的少数群体中招聘学者。参与者将学习进行高质量的荟萃分析，发展必要的背景知识，随着新方法的开发，继续增长他们的知识。提高该领域进行高质量荟萃分析的能力是至关重要的，以促进新的和更有效的干预措施，在STEM教育，通过了解什么干预措施的工作，为谁，在什么条件下。为期5天的研讨会将为STEM研究人员提供一个全面的，介绍性的荟萃分析研究所专注于国家的最先进的方法，包括使用程序R。该研究所专门针对没有元分析经验的早期职业STEM教育研究人员。与其他介绍性研讨会不同，本次研讨会的内容将提供R中的数据分析技能，以实施最佳实践统计方法。在研讨会结束时，与会者应能够：使用R进行Meta分析;理解效应量之间的差异，并根据研究中报告的最常见类型的数据计算效应量;指定适当的元分析模型;估计和报告平均效应量和效应量的变化程度;使用荟萃回归模型探索和解释效应量的异质性，并进行适当的出版偏差分析，并解释可能的偏差对结果的影响。该奖项反映了NSF的法定使命，并被认为值得支持，使用基金会的知识价值和更广泛的影响审查标准进行评估。