课题基金 / 基金详情

EAGER: Using the National Organizations Study to Examine Developments in the Labor Force in the 21st Century

EAGER: Using the National Organizations Study to Examine Developments in the Labor Force in the 21st Century
EAGER:利用国家组织研究来审视 21 世纪劳动力的发展
批准号:
1848602
负责人:
Tom Smith
金额:
$22.29万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2020-10-31

项目摘要

项目成果

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中文摘要
翻译
该项目支持在2018年综合社会调查中增加国家组织调查(NOS)模块。 NOS是美国雇主的超级网络样本,将产生具有全国代表性的雇主样本,从自营职业者到最大的公共和私营组织。它将涵盖政府机构、私营公司、非营利组织和所有其他部门。 特别是,国家统计局将提供有关各组织对职业健康和安全以及工作场所健康促进的做法的数据。 这些数据的提供及其与社会普查的联系将使研究人员能够调查对雇主和工人以及对国民健康和福祉具有重要意义的问题,该项目将把组织一级的数据与社会普查的答复者一级的数据联系起来,容许研究不同类别的雇主采用不同的雇佣政策和福利,对雇员工作满意程度的评估所造成的影响,工作生活的质量,以及许多其他的态度和行为。 添加NOS模块的支持由疾病控制中心国家职业安全与健康研究所(CDC/NIOSH)提供。该奖项反映了NSF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力进行评估而被认为值得支持。审查标准。
英文摘要
This project supports the addition of the National Organizations Survey (NOS) module to the 2018 General Social Survey. The NOS is a hypernetwork sample of employers in the United States that will produce a nationally-representative sample of employers from the self-employed up to the largest public and private organizations. It will cover government agencies, private corporations, not-for-profits, and all other sectors. In particular, the NOS will provide data on organizations' approach to occupational health and safety and to workplace health promotion. The availability of these data, and their linkage to the General Social Survey will enable researchers to investigate questions of importance to employers and workers, and to national health and well-being.This project will link the organizational-level data to respondent-level data from the General Social Survey (GSS), allowing examination of the effect of different types of employers with different employment policies and benefits on employees' assessment of job satisfaction, the quality of working life, and many other attitudes and behaviors. Support for the addition of the NOS module is provided by the National Institute for Occupational Safety and Health of the Centers for Disease Control (CDC/NIOSH).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.
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会议论文
RAPID: A Probability-Based, National-Representative Survey of Americans Before, During, and After the Pandemic
  • 批准号:
    2028774
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.78万
  • 财政年份:
    2020
  • 负责人:
    Tom Smith
  • 依托单位:
A National Data Program for the Social Sciences: The General Social Survey and International Social Survey Programme
  • 批准号:
    1458922
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $873.89万
  • 财政年份:
    2015
  • 负责人:
    Tom Smith
  • 依托单位:
A Proposal to Continue 'A National Data Program for the Social Sciences'
  • 批准号:
    1260440
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $585.0万
  • 财政年份:
    2013
  • 负责人:
    Tom Smith
  • 依托单位:
Collaborative Research: Metadata Portal for the Social Sciences
  • 批准号:
    1229967
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.85万
  • 财政年份:
    2012
  • 负责人:
    Tom Smith
  • 依托单位:
国内基金
海外基金
Capture and Release of Droplets Using Advanced Materials for High Technology Applications
  • 批准号:
    52073127
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    Alidad Amirfazli
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data