Workshop: Emerging Methodologists in Qualitative and Multi-Method Research

研讨会：定性和多方法研究中的新兴方法学家

• 批准号: 2312413
• 负责人: Diana Kapiszewski
• 金额: $ 4.98万
• 依托单位: Georgetown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-15 至 2026-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2312413&HistoricalAwards=false
• 关键词: Workshop; Emerging; Methodologists; Qualitative; Multi

This project lays the groundwork for an ongoing annual conference in methodology for qualitative and multi-method research. A collaborative effort led by a diverse team of political scientists that aims to expand the community of scholars who develop and publish on methods for generating and analyzing qualitative research data, and for combining such techniques with their quantitative counterparts. The project promotes the progress of science by encouraging and empowering researchers from under-represented groups to bring their perspectives to methodological debates and to develop their methodological ideas. The work of these qualitative researchers will enlarge the set of available tools for creating and working with qualitative data, will strengthen the discipline's methodological foundations, and will encourage advancements of the qualitative field. More broadly, the diversification of the community of methods faculty can have important downstream effects as those faculty serve as role models, inspiring the students who work with them to become the next generations of methodological innovators. This award funds three inaugural Emerging Methodologists Workshop for Qualitative and Multi-Method Explanatory Research (EMW-QMER) will be held in Fall 2023, 2024, and 2025. At each workshop, six advanced graduate students and junior faculty from under-represented groups will present and receive feedback on a paper they have written on methods for collecting, generating, or analyzing qualitative data, and/or strategies for integrating qualitative and quantitative methods. The workshops will be attended by political scientists interested in developing, publishing on, and teaching qualitative and multi-method research. Project personnel and a broad team of senior scholars recruited to serve as mentors for each presenter will offer intensive support, introducing presenters into networks and working to build an inclusive community. The initiative will bring new voices, perspectives, and ideas to the development of methods for generating and analyzing qualitative data, and for integrating qualitative and quantitative techniques. As more scholars from under-represented groups innovate methodologically and publish their work, their contributions will broaden, diversify, and thus enrich the research community focused on developing such approaches. Ultimately a multiplier effect is anticipated through which undergraduate and graduate students from under-represented groups are increasingly motivated to develop their own ideas about research methods because they see faculty to whom they can closely relate writing on, teaching, and leading organizations dedicated to such methods.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.

该项目为正在进行的定性和多方法研究方法论年度会议奠定了基础。这是一项由不同政治科学家团队领导的合作努力，旨在扩大学者群体，他们开发和发表生成和分析定性研究数据的方法，并将这些技术与定量研究数据相结合。该项目通过鼓励和授权来自代表性不足群体的研究人员将他们的观点带入方法论辩论并发展他们的方法论思想来促进科学进步。这些定性研究人员的工作将扩大创建和处理定性数据的可用工具集，将加强该学科的方法论基础，并将鼓励定性领域的进步。更广泛地说，方法教师群体的多样化可以产生重要的下游效应，因为这些教师可以作为榜样，激励与他们一起工作的学生成为下一代的方法创新者。该奖项将资助三个首届定性和多方法解释研究新兴方法论研讨会（EMW-QMER），该研讨会将于2023年、2024年和2025年秋季举行。在每次研讨会上，来自代表性不足群体的六名高级研究生和初级教师将就他们所写的关于收集、生成或分析定性数据的方法和/或整合定性和定量方法的策略的论文进行演讲并收到反馈。对发展、出版和教授定性和多方法研究感兴趣的政治学家将参加讲习班。项目人员和由资深学者组成的广泛团队将被招募为每位演讲者的导师，他们将提供密集的支持，将演讲者介绍到网络中，并努力建立一个包容性的社区。该计划将为生成和分析定性数据以及整合定性和定量技术的方法的发展带来新的声音、观点和想法。随着越来越多来自代表性不足群体的学者在方法上进行创新并发表他们的研究成果，他们的贡献将会扩大、多样化，从而丰富专注于开发此类方法的研究界。最终，预计会产生乘数效应，来自代表性不足群体的本科生和研究生越来越有动力发展自己对研究方法的想法，因为他们看到了可以与他们密切联系的教师，写作，教学以及致力于这些方法的领导组织。该奖项反映了美国国家科学基金会的法定使命，并通过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，被认为值得支持。