Statistical methods for survey data in the social sciences
社会科学调查数据的统计方法
基本信息
- 批准号:RGPIN-2016-03688
- 负责人:
- 金额:$ 1.44万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
I will pursue research in three areas related to complex survey methodology, with common themes of latent variables and linkages.
The first area is latent variable modeling in the complex survey context. Latent variables are hypothesized but unobservable variables, giving structure and meaning to a statistical model. For example, a random effect in a mixed or multilevel model is often regarded as latent; structural equation models use latent constructs to explain the relationships among observed psychometric variables; in item response theory (IRT) models used in educational testing, item difficulty and test taker ability are often taken to be latent. I will extend previous work on multilevel models, and apply estimating function approaches to robust estimation of latent variable model parameters.
The second area is the analysis of data from sampling on social networks. A network is a collection of nodes, some of which are joined by links. My collaborators and I have worked on “patchwork sampling”, wherein links from a probability sample of nodes are followed to a certain distance, with multiple inclusions recorded. Applications include a collaboration network of scholars; a network of telecom customers who call each other; or a contact network with links for disease transmission. I plan to extend our preliminary work to the estimation of connectivity and complex dependences.
The third area is multi-frame methods and data linkage. A frame is a database or list of members of a population, from which samples can be drawn. The members may or may not be contactable, and the frame may or may not be “rich” in the sense of providing useful information about the members. Typically the databases or samples overlap considerably, and proper linkage of the records can make analysis more efficient. If the identifiers are not unique, or if erroneous or missing identifiers make linkage uncertain, it is desirable to have techniques for automatic estimation of links. I will explore relationships among traditional multi-frame methods, record linkage methods, and sampling using linkage information.
The work on latent variable models addresses two problems facing social science researchers: the need for accurate multi-level analysis when the sampling design is structurally informative and/or the models are non-normal; and the need for robustly estimable latent variable models. The rest of the proposal concerns trends in survey methods arising from the increasing availability of vast amounts of rich and linkable data on people and establishments, and the increasing difficulty of carrying out designed studies such as traditional sample surveys due to non-response. The list of potential application areas includes not only official statistics and social research methods but also forensic uses such as detection of unusual activity in communications traffic.
Supervision of graduate students will be included in each area.
我将在与复杂调查方法相关的三个领域进行研究,共同主题是潜在变量和联系。
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)
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Thompson, Mary其他文献
Protocol for validating an algorithm to identify neurocognitive disorders in Canadian Longitudinal Study on Aging participants: an observational study.
- DOI:
10.1136/bmjopen-2023-073027 - 发表时间:
2023-11-01 - 期刊:
- 影响因子:2.9
- 作者:
Mayhew, Alexandra J.;Hogan, David;Raina, Parminder;Wolfson, Christina;Costa, Andrew P.;Jones, Aaron;Kirkland, Susan;O'Connell, Megan;Taler, Vanessa;Smith, Eric E.;Liu-Ambrose, Teresa;Ma, Jinhui;Thompson, Mary;Wu, Changbao;Chertkow, Howard;Griffith, Lauren E.;CLSA Memory Study Working Grp - 通讯作者:
CLSA Memory Study Working Grp
Validity of the Sitting Balance Scale in older adults who are non-ambulatory or have limited functional mobility
- DOI:
10.1177/0269215512452879 - 发表时间:
2013-02-01 - 期刊:
- 影响因子:3
- 作者:
Thompson, Mary;Medley, Ann;Teran, Steve - 通讯作者:
Teran, Steve
Health-care use and cost for multimorbid persons with dementia in the National Health and Aging Trends Study.
- DOI:
10.1002/alz.12094 - 发表时间:
2020-09 - 期刊:
- 影响因子:14
- 作者:
MacNeil-Vroomen, Janet L.;Thompson, Mary;Leo-Summers, Linda;Marottoli, Richard A.;Tai-Seale, Ming;Allore, Heather G. - 通讯作者:
Allore, Heather G.
Fasting-induced adipose factor identified as a key adipokine that is up-regulated in white adipose tissue during pregnancy and lactation in the rat
- DOI:
10.1677/joe-07-0158 - 发表时间:
2007-08-01 - 期刊:
- 影响因子:4
- 作者:
Josephs, Tracy;Waugh, Hayley;Thompson, Mary - 通讯作者:
Thompson, Mary
Development, reliability, and validity of the Sitting Balance Scale
- DOI:
10.3109/09593985.2010.531077 - 发表时间:
2011-10-01 - 期刊:
- 影响因子:2
- 作者:
Medley, Ann;Thompson, Mary - 通讯作者:
Thompson, Mary
Thompson, Mary的其他文献
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{{ truncateString('Thompson, Mary', 18)}}的其他基金
Statistical methods for survey data in the social sciences
社会科学调查数据的统计方法
- 批准号:
RGPIN-2016-03688 - 财政年份:2021
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for survey data in the social sciences
社会科学调查数据的统计方法
- 批准号:
RGPIN-2016-03688 - 财政年份:2019
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for survey data in the social sciences
社会科学调查数据的统计方法
- 批准号:
RGPIN-2016-03688 - 财政年份:2018
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for survey data in the social sciences
社会科学调查数据的统计方法
- 批准号:
RGPIN-2016-03688 - 财政年份:2017
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for survey data in the social sciences
社会科学调查数据的统计方法
- 批准号:
RGPIN-2016-03688 - 财政年份:2016
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Analysis of survery data
调查数据分析
- 批准号:
8146-2009 - 财政年份:2015
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Field study investigating zoonotic pathogens in wildlife
调查野生动物中人畜共患病原体的实地研究
- 批准号:
451046-2013 - 财政年份:2013
- 资助金额:
$ 1.44万 - 项目类别:
University Undergraduate Student Research Awards
Analysis of survery data
调查数据分析
- 批准号:
8146-2009 - 财政年份:2012
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Analysis of survery data
调查数据分析
- 批准号:
8146-2009 - 财政年份:2011
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Analysis of survery data
调查数据分析
- 批准号:
8146-2009 - 财政年份:2010
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
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复杂图像处理中的自由非连续问题及其水平集方法研究
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社会科学调查数据的统计方法
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$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
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社会科学调查数据的统计方法
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- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
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复杂临床和调查数据的统计方法
- 批准号:
RGPIN-2016-06258 - 财政年份:2018
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for complex clinical and survey data
复杂临床和调查数据的统计方法
- 批准号:
RGPIN-2016-06258 - 财政年份:2017
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for survey data in the social sciences
社会科学调查数据的统计方法
- 批准号:
RGPIN-2016-03688 - 财政年份:2017
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for survey data in the social sciences
社会科学调查数据的统计方法
- 批准号:
RGPIN-2016-03688 - 财政年份:2016
- 资助金额:
$ 1.44万 - 项目类别:
Discovery Grants Program - Individual