课题基金 / 基金详情

Conference Support for the International Conference on Establishment Surveys; June 2007; Montreal, Canada

Conference Support for the International Conference on Establishment Surveys; June 2007; Montreal, Canada
对国际机构调查会议的会议支持;
批准号:
0615917
负责人:
William Smith
金额:
$2.49万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-10-01 至 2007-09-30

项目摘要

项目成果

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中文摘要
翻译
该项目将支持将于2007年6月在加拿大蒙特利尔举行的第三届编制调查国际会议。这些资金将部分抵消一些受邀演讲者、全日制学生、代表性不足的群体和组委会成员的旅行和当地费用。资金还将用于制作会议记录,记录所有提交给图书馆和个人的论文,包括那些不能亲自参加会议的人。官方统计数字直接受到调查所得数据质量的影响。然而,这些研究很少有公认的标准和方法。之前已经举行了两次关于这些主题的会议,但自从上次会议以来,由于电子通信的改进,观察到的回复率降低以及迫切需要“协调”国际数据,调查世界发生了巨大变化。“机构调查”一词是指确定企业、机构等组织实体的特征和属性的努力。企业调查在方法和方法上不同于个别调查,个别调查的做法和统计数据都是既定的。会议将讨论登记和框架、设计和抽样、数据收集和处理、估计和传播。此外,还将考虑经济和教育领域的具体问题,以及跨越时间序列方法、元分析、国际比较、评估和质量等几个领域的问题。
英文摘要
This project will support the Third International Conference on Establishment Surveys, to be held in Montreal, Canada in June 2007. The funds will partially offset travel and local costs of some invited speakers, full-time students, underrepresented groups, and organizing committee members. Funds also will be used to produce the conference proceedings that will document all the presented papers for libraries and individuals, including those who are not able to attend in person.Official statistics are directly affected by the quality of the data derived from surveys. Yet there are few commonly accepted standards and methodologies for these studies. Two prior conferences have been held on these topics, but the survey world has changed dramatically since the last event due to electronic communication improvements, observed reductions in response rates, and a pressing need to "harmonize" international data. The term "establishment surveys" refers to efforts to ascertain characteristics and attributes of organizational entities, such as businesses, institutions, etc. Establishment surveys differ in approach and methodology from individual surveys, where both the practices and the statistics are well established. The conference will address registers and frames, design and sampling, data collection and processing, estimation, and dissemination. Additionally, specific sector issues in economics and education will be considered, along with issues that cut across several areas such as time series methods, meta-analysis, international comparisons, evaluation, and quality.
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