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Mixed Method and Multi-Method Social Research. An Interdisciplinary Network on the Methodology and Applications of Integrative Research Methods

Mixed Method and Multi-Method Social Research. An Interdisciplinary Network on the Methodology and Applications of Integrative Research Methods
混合方法和多方法社会研究。
批准号:
374277577
负责人:
Dr. Felix Knappertsbusch
金额:
$0.0万
依托单位国家:
德国
项目类别:
Scientific Networks
财政年份:
2017
资助国家:
德国
项目状态:
已结题
起止时间:
2016-12-31 至 2021-12-31

项目摘要

项目成果

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相关文献

中文摘要
翻译
在过去的二十年中,混合方法和多方法研究(MMMR)已经成为广泛的社会科学学科中建立的实证方法。定量和定性方法的整合是一个不断发展的研究领域,mmmr设计越来越被认为是传统单一方法的有力策略。然而,这种积极的发展也伴随着一些问题。首先,MMMR的普及导致了方法论概念和术语的大量扩展。由此产生的过多的概念化仍有待纳入一个广泛适用的方法框架。在目前的状态下,关于MMMR的方法学文献——至少在某些情况下——容易引起混乱而不是清晰,例如在验证标准或数据分析策略领域。其次,方法论对话有时会受到学科界限的阻碍,因为mmm研究人员倾向于保持在学科或研究领域的分组,例如教育科学、心理学或比较政治学。拟议中的科学网络将通过为以问题为中心的跨学科讨论提供基础设施来处理这些方法论问题。同时,它的目的是加强德语和国际方法社区之间的交流。将强调以下主题:(1)如何在不损害多样性的情况下更充分地整合当前mmmr概念和术语的多样性?(2) MMMR中进行因果分析的不同方法是什么?它们之间进行更有成效对话的可能途径是什么?(3) MMMR采样和数据收集方面的当前问题和发展是什么?(4) MMMR数据分析目前存在哪些问题和创新潜力?(5)制定MMMR实用、全面的质量标准和最佳实践指南的有希望的途径是什么?(6)沟通mmmr结果和教授mmmr技能的典型障碍是什么?有哪些可能的方法可以减少这些障碍?这些问题将在连续的六次讲习班会议上讨论。在每次会议期间,网络成员将提交有关各自主题的论文,由国际专家嘉宾评论。受邀专家的公开讲座将作为课程的补充。将通过网络网站以及网络小组组织的最后一次国际会议提供讲习班成果的文件和传播。网络会议的主要结果将发表在国际可见的文章集中。
英文摘要
During the past two decades mixed methods and multi method research (MMMR) has become an established empirical approach within a broad spectrum of social science disciplines. The integration of quantitative and qualitative methods is a growing research area and MMMR-Designs are increasingly acknowledged as a powerful strategy alongside traditional mono-method approaches. However, this positive development has been accompanied by several issues.Firstly, the popularization of MMMR has led to a considerable expansion of methodological concepts and terminologies. The resulting plethora of conceptualizations remains yet to be integrated into a broadly applicable methodological framework. In its current state, the methodological literature on MMMR is - at least in some instances - prone to cause confusion rather than clarity, e.g. in the areas of validation criteria or data analysis strategies.Secondly, methodological dialog is sometimes hindered by disciplinary boundaries, since MMM-researchers tend to remain grouped into disciplines or research fields, e.g. in educational science, psychology, or comparative political science.The proposed scientific network will take on these methodological issues by providing an infrastructure for problem-centered, interdisciplinary discussion. At the same time, it aims to intensify the exchange between the German-speaking and international methods-communities. The following topics will be emphasized:(1) How can the multiplicity of current MMMR-conceptualizations and terminologies be integrated more fully without compromising diversity?(2) What are different approaches towards causal analysis in MMMR and what are possible avenues towards a more productive dialog between them? (3) What are current issues and developments with regard to MMMR sampling and data collection? (4) What are current problems and potentials for innovation in MMMR data analysis?(5) What are promising avenues towards practical, comprehensive quality criteria and best-practice-guidelines for MMMR?(6) What are typical barriers for communicating MMMR-results and teaching MMMR-skills and what are possible ways to reduce them? These questions will be addressed in six consecutive workshop meetings. During each meeting network-members will present papers on the respective topics which will be commented on by international expert guests. Public lectures by the invited experts will complement the program. Documentation and dissemination of workshop-results will be provided through the network website as well as through a concluding international conference organized by the network-team. Key results from the network meetings will be published in an internationally visible article collection.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.3389/fpsyg.2019.01369
发表时间: 2019
期刊: Frontiers in Psychology
影响因子: 3.8
作者: [Schoonenboom, Judith]
通讯作者: Judith
Integrating and Consolidating Data in Mixed Methods Data Analysis: Examples From Focus Group Data With Children
以混合方法数据分析整合和整合数据:儿童焦点小组数据示例
DOI: 10.1177/1558689818796364
发表时间: 2019
期刊: Journal of Mixed Methods Research
影响因子: 3.9
作者: [Susanne]
通讯作者: Susanne
“Fractal Heuristics” for Mixed Methods Research: Applying Abbott’s “Fractal Distinctions” as a Conceptual Metaphor for Method Integration
混合方法研究的“分形启发式”:应用雅培的“分形区别”作为方法集成的概念隐喻
DOI: 10.1177/1558689819893573
发表时间: 2020
期刊: Journal of Mixed Methods Research
影响因子: 3.9
作者: [Knappertsbusch]
通讯作者: Knappertsbusch
DOI: 10.1007/978-3-658-31547-4_25
发表时间: 2021
期刊: Altern & Gesellschaft
影响因子: --
作者: [Susanne]
通讯作者: Susanne
国内基金
海外基金
偏线性分位数样本截取和选择模型的估计与应用—基于非参数筛分法(Sieve Method)
  • 批准号:
    72273091
  • 项目类别:
    面上项目
  • 资助金额:
    45万元
  • 批准年份:
    2022
  • 负责人:
    纪园园
  • 依托单位: