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Author : American Statistical Association. Government Statistics Section
Publisher : Unknown
Page : 256 pages
File Size : 47,9 Mb
Release : 1994
Category : Social sciences
ISBN : UOM:39015048181500
Author : American Statistical Association. Social Statistics Section
Publisher : Unknown
Page : 910 pages
File Size : 51,5 Mb
Release : 1993
Category : Public health
ISBN : UOM:39015037927103
Author : American Statistical Association. Meeting
Publisher : Unknown
Page : 766 pages
File Size : 49,9 Mb
Release : 1999
Category : Social sciences
ISBN : UOM:39015053986223
Author : American Statistical Association. Section on Government Statistics
Publisher : Unknown
Page : 294 pages
File Size : 50,5 Mb
Release : 1996
Category : Social sciences
ISBN : UOM:39015053966605
Author : American Statistical Association. Meeting
Publisher : Unknown
Page : 532 pages
File Size : 43,9 Mb
Release : 1995
Category : Canada
ISBN : UOM:39015084825614
Author : Marcelo Byrro Ribeiro
Publisher : Cambridge University Press
Page : 335 pages
File Size : 45,8 Mb
Release : 2020-03-26
Category : Business & Economics
ISBN : 9781107092532
An overview of the distributive dynamics of economic systems in a broad theoretical and empirical sense from the econophysical viewpoint.
Author : American Statistical Association. Business and Economic Statistics Section
Publisher : Unknown
Page : 580 pages
File Size : 46,6 Mb
Release : 1998
Category : Statistics
ISBN : UOM:39015053426337
Author : Frauke Kreuter
Publisher : John Wiley & Sons
Page : 327 pages
File Size : 44,7 Mb
Release : 2013-04-25
Category : Education
ISBN : 9781118591635
Explore the practices and cutting-edge research on the new and exciting topic of paradata Paradata are measurements related to the process of collecting survey data. Improving Surveys with Paradata: Analytic Uses of Process Information is the most accessible and comprehensive contribution to this up-and-coming area in survey methodology. Featuring contributions from leading experts in the field, Improving Surveys with Paradata: Analytic Uses of Process Information introduces and reviews issues involved in the collection and analysis of paradata. The book presents readers with an overview of the indispensable techniques and new, innovative research on improving survey quality and total survey error. Along with several case studies, topics include: Using paradata to monitor fieldwork activity in face-to-face, telephone, and web surveys Guiding intervention decisions during data collection Analysis of measurement, nonresponse, and coverage error via paradata Providing a practical, encompassing guide to the subject of paradata, the book is aimed at both producers and users of survey data. Improving Surveys with Paradata: Analytic Uses of Process The book also serves as an excellent resource for courses on data collection, survey methodology, and nonresponse and measurement error.
Author : Monica Pratesi
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 45,6 Mb
Release : 2016-02-23
Category : Mathematics
ISBN : 9781118815014
A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods. Key features: Presents a comprehensive review of SAE methods for poverty mapping Demonstrates the applications of SAE methods using real-life case studies Offers guidance on the use of routines and choice of websites from which to download them Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.
Author : National Research Council,Commission on Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Estimates of Poverty for Small Geographic Areas
Publisher : National Academies Press
Page : 271 pages
File Size : 44,6 Mb
Release : 2001-01-16
Category : Social Science
ISBN : 9780309171243
The Panel on Estimates of Poverty for Small Geographic Areas was established by the Committee on National Statistics at the National Research Council in response to the Improving America's Schools Act of 1994. That act charged the U.S. Census Bureau to produce updated estimates of poor school-age children every two years for the nation's more than 3,000 counties and 14,000 school districts. The act also charged the panel with determining the appropriateness and reliability of the Bureau's estimates for use in the allocation of more than $7 billion of Title I funds each year for educationally disadvantaged children. The panel's charge was both a major one and one with immovable deadlines. The panel had to evaluate the Census Bureau's work on a very tight schedule in order to meet legal requirements for allocation of Title I funds. As it turned out, the panel produced three interim reports: the first one evaluated county-level estimates of poor school-age children in 1993, the second one assessed a revised set of 1993 county estimates; and the third one covered both county- and school district-level estimates of poor school-age children in 1995. This volume combines and updates these three reports into a single reference volume.
Author : Anonim
Publisher : Unknown
Page : 188 pages
File Size : 42,5 Mb
Release : 1998
Category : Canada
ISBN : MINN:30000005767201
Author : Anonim
Publisher : Unknown
Page : 92 pages
File Size : 47,7 Mb
Release : 1975
Category : United States
ISBN : UOM:39015086968917
Author : Anonim
Publisher : Unknown
Page : 132 pages
File Size : 52,6 Mb
Release : 1999
Category : Health surveys
ISBN : MINN:31951D01703529B
Author : American Statistical Association. Annual Meeting
Publisher : Unknown
Page : 830 pages
File Size : 42,5 Mb
Release : 1986
Category : Canada
ISBN : UIUC:30112037782551
Author : Committee on National Statistics,Commission on Behavioral and Social Sciences and Education,Division of Behavioral and Social Sciences and Education,National Research Council
Publisher : National Academies Press
Page : 134 pages
File Size : 50,9 Mb
Release : 1999-03-04
Category : Social Science
ISBN : 9780309517478
The U.S. Department of Education uses estimates of school-age children in poverty to allocate federal funds under Title I of the Elementary and Secondary Education Act for education programs to aid disadvantaged children. Historically, the allocations have been made by a two-stage process: the department's role has been to allocate Title I funds to counties; the states have then distributed these funds to school districts. Until recently, the department has based the county allocations on the numbers and proportions of poor school-age children in each county from the most recent decennial census. States have used several different data sources, such as the decennial census and the National School Lunch Program, to distribute the department's county allocations to districts. In 1994 Congress authorized the Bureau of the Census to provide updated estimates of poor school-age children every 2 years, to begin in 1996 with estimates for counties and in 1998 with estimates for school districts. The Department of Education is to use the school district estimates to allocate Title I basic and concentration grants directly to districts for the 1999-2000 and later school years, unless the Secretaries of Education and Commerce determine that they are "inappropriate or unreliable" on the basis of a study by the National Research Council. That study is being carried out by the Committee on National Statistics' Panel on Estimates of Poverty for Small Geographic Areas.