Collaborative Research: Modeling Sample Selection for Multi-Level Data Structures
协作研究:多级数据结构的样本选择建模
基本信息
- 批准号:1728395
- 负责人:
- 金额:$ 27.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-15 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
General AbstractAn important part of political science research entails the analysis of events data in which the researcher accounts for when events occur, how often they occur, and tries to explain why they occur. Examples of interest to political scientists include topics like wars, mass protests, and coups, for instance. One of the problems associated with this type of research is that the event being observed is the product of a number of other factors or conditions. As a consequence, the researcher may not be able to identify the actual causes or the relative contributions of a set of causal factors for that outcome. Since the analysis of particular events is of such interest to political scientists, it is important to develop methods that allow researchers to draw the correct conclusions about how such events came to occur. The research team proposes to develop a statistical method to overcome the problems associated with events data analysis. The method has the potential to improve our understanding of how important types of events come to occur, making it of great interest to scholars across a range of social sciences. The research project will also provide a significant educational component as the team proposes to involve undergraduate students in the research experience. Technical AbstractThe PI's note that much of the events data collected in the social sciences is the product of a structural data generation process that generally remains unanalyzed. As a result the observed events are correlated with a number of covariates. Statistical analyses of such data may lead to biased inferences if not appropriately addressed. These problems are of particular concern for small-n, or area-based research. The PI's propose to develop a theoretically-informed, statistical approach to how data is selected structurally. The project consists of three components. First, they develop an estimation procedure for repeated observations at higher levels of analysis with structural data. Second, they will produce work that bridges different periods of time-based aggregation across levels. Third, they extend the structural selection frame to move beyond two-level structures. Successfully developing the procedure will help to improve the collection and analysis of data, thereby helping to reduce the trade-off between thick descriptive approaches focusing on a few cases and thinly-informative operationalizations of variables in large-n studies. The work will have applications beyond political science, appealing to scholars in a number of social scientific disciplines. The project will provide important pedagogical benefits as the PI's will involve undergraduate students in the research.
摘要政治科学研究的一个重要组成部分是对事件数据的分析,研究人员在分析中说明事件发生的时间、频率,并试图解释事件发生的原因。政治学家感兴趣的例子包括战争、大规模抗议和政变等话题。与这类研究相关的一个问题是,被观察到的事件是许多其他因素或条件的产物。因此,研究人员可能无法确定导致该结果的实际原因或一系列因果因素的相对贡献。由于对特定事件的分析是政治科学家的兴趣所在,因此开发方法使研究人员能够得出有关这些事件如何发生的正确结论是很重要的。研究小组建议开发一种统计方法,以克服与事件数据分析相关的问题。该方法有可能提高我们对重要事件类型如何发生的理解,使其成为一系列社会科学学者的极大兴趣。该研究项目还将提供一个重要的教育组成部分,因为该团队建议让本科生参与研究经验。技术摘要PI注意到,在社会科学中收集的许多事件数据是结构数据生成过程的产物,通常仍未被分析。结果,观察到的事件与许多协变量相关。如果处理不当,对这些数据的统计分析可能导致有偏见的推论。这些问题是小n或基于区域的研究特别关注的问题。PI的建议是发展一种有理论依据的、统计的方法来研究如何从结构上选择数据。该项目由三个部分组成。首先,他们开发了一种估计程序,用于在更高层次的结构数据分析中重复观察。其次,他们将产生桥梁不同时期的基于时间的跨级别聚合的工作。第三,扩展结构选择框架,超越两层结构。成功地开发该程序将有助于改进数据的收集和分析,从而有助于减少侧重于少数案例的厚重描述性方法与大n研究中变量的稀疏信息操作之间的权衡。这项工作将应用于政治学以外的领域,吸引许多社会科学学科的学者。该项目将提供重要的教学效益,因为PI将让本科生参与研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
David Peterson其他文献
Dose–response of spinal manipulation for low back pain: Quality and compliance outcomes from a randomized trial
- DOI:
10.1016/j.clch.2011.09.045 - 发表时间:
2011-12-01 - 期刊:
- 影响因子:
- 作者:
Darcy Vavrek;Mitchell Haas;David Peterson;Mikel Aickin - 通讯作者:
Mikel Aickin
Disentangling manual muscle testing and Applied Kinesiology: critique and reinterpretation of a literature review
- DOI:
10.1186/1746-1340-15-11 - 发表时间:
2007-08-23 - 期刊:
- 影响因子:2.300
- 作者:
Mitchell Haas;Robert Cooperstein;David Peterson - 通讯作者:
David Peterson
Physically violent husbands of the 1890s and their resources
- DOI:
10.1007/bf00978523 - 发表时间:
1991-03-01 - 期刊:
- 影响因子:2.200
- 作者:
David Peterson - 通讯作者:
David Peterson
The Baby Factory
婴儿工厂
- DOI:
10.1177/2378023115625071 - 发表时间:
2016 - 期刊:
- 影响因子:4.5
- 作者:
David Peterson - 通讯作者:
David Peterson
Imprecise but Fun
不精确但有趣
- DOI:
10.1145/3546725 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Jakob Karolus;Simon Thanheiser;David Peterson;Nicolas Viot;T. Kosch;Albrecht Schmidt;Paweł W. Woźniak - 通讯作者:
Paweł W. Woźniak
David Peterson的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('David Peterson', 18)}}的其他基金
Collaborative research: Using the structure of verbal complexes to assess linguistic relationships
合作研究:利用言语复合体的结构来评估语言关系
- 批准号:
1911269 - 财政年份:2019
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
RAPID: Influence on Beliefs in Non-Scientific Theories
RAPID:对非科学理论信仰的影响
- 批准号:
1933116 - 财政年份:2019
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Automated collection and coding of online campaign advertising.
在线活动广告的自动收集和编码。
- 批准号:
1729775 - 财政年份:2017
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Documentation of Rengmitca (Tibeto-Burman)
Rengmitca(藏缅语)文献
- 批准号:
1360770 - 财政年份:2014
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
A workshop on issues in Kuki-Chin Linguistics
库奇钦语言学问题研讨会
- 批准号:
1322400 - 财政年份:2013
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Fidelity of Transcription by RNA Polymerase II
RNA 聚合酶 II 转录的保真度
- 批准号:
0848085 - 财政年份:2009
- 资助金额:
$ 27.2万 - 项目类别:
Continuing Grant
CAREER: Chittagong Hill Tracts Linguistic Documentation
职业:吉大港山区语言文献
- 批准号:
0349021 - 财政年份:2004
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
SBIR Phase I: Ceramic Membrane Reactor Utilizing a Packed Catalytic Bed for Converting Hydrogen Sulfide to Sulfur and Steam
SBIR 第一阶段:利用填充催化床将硫化氢转化为硫和蒸汽的陶瓷膜反应器
- 批准号:
9860494 - 财政年份:1999
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: Enabling Cloud-Permitting and Coupled Climate Modeling via Nonhydrostatic Extensions of the CESM Spectral Element Dynamical Core
合作研究:通过 CESM 谱元动力核心的非静水力扩展实现云允许和耦合气候建模
- 批准号:
2332469 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Continuing Grant
Collaborative Research: CDS&E: data-enabled dynamic microstructural modeling of flowing complex fluids
合作研究:CDS
- 批准号:
2347345 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Collaborative Research: Using Polarimetric Radar Observations, Cloud Modeling, and In Situ Aircraft Measurements for Large Hail Detection and Warning of Impending Hail
合作研究:利用偏振雷达观测、云建模和现场飞机测量来检测大冰雹并预警即将发生的冰雹
- 批准号:
2344259 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
NSF-BSF: Collaborative Research: Solids and reactive transport processes in sewer systems of the future: modeling and experimental investigation
NSF-BSF:合作研究:未来下水道系统中的固体和反应性输送过程:建模和实验研究
- 批准号:
2134594 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Collaborative Research: Ionospheric Density Response to American Solar Eclipses Using Coordinated Radio Observations with Modeling Support
合作研究:利用协调射电观测和建模支持对美国日食的电离层密度响应
- 批准号:
2412294 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Collaborative Research: NSFGEO-NERC: Advancing capabilities to model ultra-low velocity zone properties through full waveform Bayesian inversion and geodynamic modeling
合作研究:NSFGEO-NERC:通过全波形贝叶斯反演和地球动力学建模提高超低速带特性建模能力
- 批准号:
2341238 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Collaborative Research: Using Polarimetric Radar Observations, Cloud Modeling, and In Situ Aircraft Measurements for Large Hail Detection and Warning of Impending Hail
合作研究:利用偏振雷达观测、云建模和现场飞机测量来检测大冰雹并预警即将发生的冰雹
- 批准号:
2344260 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Collaborative Research: CDS&E: data-enabled dynamic microstructural modeling of flowing complex fluids
合作研究:CDS
- 批准号:
2347344 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Collaborative Research: Connecting the Past, Present, and Future Climate of the Lake Victoria Basin using High-Resolution Coupled Modeling
合作研究:使用高分辨率耦合建模连接维多利亚湖盆地的过去、现在和未来气候
- 批准号:
2323649 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
- 批准号:
2317232 - 财政年份:2024
- 资助金额:
$ 27.2万 - 项目类别:
Continuing Grant