一项新的全国代表性家庭小组调查(NRHPS)

Q3 Social Sciences
J. House
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引用次数: 1

摘要

全国代表性家庭小组调查(NRHPS)将代表21世纪中期重复横断面和纵向/小组家庭调查发展的自然延伸,这些调查构成了自第二次世界大战以来社会科学和社会政策发展的主要资源。尽管这本身就是一项昂贵的努力,但它将使美国与已经开发出nrhps的同样富裕的国家保持可比性和竞争力。NRHPS可能是产生社会科学和社会政策进步所需数据的最具成本效益的方法,因为这种进步需要的数据涉及同一个人、家庭及其环境的属性范围比现有调查中现有的范围大得多。这些调查往往是按科学学科、实质性/政策领域和/或人口部分进行专业化的,因此排除了社会科学和社会政策最需要的跨学科、实质性政策领域和人口部分所需的那种思考和数据。要成为实现这一目的的具有成本效益的工具,NHRPS必须:(1)在学科、实质性领域和人口子群体之间建立整合和协同作用;(2)经济有效地应对科学和后勤方面的挑战;(3)促进和利用科学创新和方法创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a new nationally representative household panel survey (NRHPS)
A Nationally Representative Household Panel Survey (NRHPS) would represent a natural extension into the mid-21st century of the development of repeated cross-sectional and then longitudinal/panel household surveys that have constituted major resources for developments in social science and social policy since World War II. Although an inherently expensive endeavor, it would keep the U.S. comparable to and competitive with similarly wealthy nations that have already developed NRHPSs. An NRHPS may be the most cost-effective way to generate the data needed for advancement in social science and social policy because such progress requires data on a much wider range of attributes of the same individuals, households, and their environments than are currently available in existing surveys. These surveys tend to be specialized by scientific disciplines, substantive/policy areas, and/or segments of the population, and thus preclude the kind of thinking and data necessary across disciplines, substantive policy areas, and segments of the population that are most needed in both social science and social policy. To be a cost-effective vehicle for such purposes an NHRPS must: (1) create integration and synergy across disciplines, substantive areas, and population subgroups; (2) cost-effectively meet scientific and logistical challenges; and (3) foster and utilize scientific and methodological innovations.
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来源期刊
Journal of Economic and Social Measurement
Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)
CiteScore
1.60
自引率
0.00%
发文量
4
期刊介绍: The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.
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