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For over 100 years, the evolution of modern survey
methodology--using the theory of representative sampling to make
inferences from a part of the population to the whole--has been
paralleled by a drive toward automation, harnessing technology and
computerization to make parts of the survey process easier, faster,
and better. The availability of portable computers in the late
1980s ushered in computer-assisted personal interviewing (CAPl), in
which interviewers administer a survey instrument to respondents
using a computerized version of the questionnaire on a portable
laptop computer. Computer assisted interviewing (CAI) methods have
proven to be extremely useful and beneficial in survey
administration. However, the practical problems encountered in
documentation and testing CAI instruments suggest that this is an
opportune time to reexamine not only the process of developing CAI
instruments but also the future directions of survey automation
writ large.
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The 2000 Census - Interim Assessment (Paperback)
Panel to Review the 2000 Census, Committee on National Statistics, Commission on Behavioral and Social Sciences and Education, Division of Behavioral and Social Sciences and Education, National Research Council, …
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R1,678
Discovery Miles 16 780
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This volume contains the full text of two reports: one is an
interim review of major census operations, which also assesses the
U.S. Census bureau's recommendation in March 2001 regarding
statistical adjustment of census data for redistricting. It does
not address the decision on adjustment for non-redistricting
purposes. The second report consists of a letter sent to William
Barron, acting director of the Census Bureau. It reviews the new
set of evaluations prepared by the Census Bureau in support of its
October decision. The two reports are packaged together to provide
a unified discussion of statistical adjustment and other aspects of
the 2000 census that the authoring panel has considered to date.
Since its origin 23 years ago as a pilot test conducted in four
U.S. counties, the U.S. Census Bureau's American Community Survey
(ACS) has been the focus of continuous research, development, and
refinement. The survey cleared critical milestones 14 years ago
when it began full-scale operations, including comprehensive
nationwide coverage, and 5 years later when the ACS replaced a
long-form sample questionnaire in the 2010 census as a source of
detailed demographic and socioeconomic information. Throughout that
existence and continuing today, ACS research and testing has worked
to improve the survey's conduct in the face of challenges ranging
from detailed and procedural to the broad and existential. This
publication summarizes the presentations and discussion at the
September 26?27, 2018, Workshop on Improving the American Community
Survey (ACS), sponsored by the U.S. Census Bureau. Workshop
participants explored uses of administrative records and
third-party data to improve ACS operations and potential for
boosting respondent participation through improved communication.
Table of Contents Front Matter 1 Introduction 2 Administrative
Records, Third-Party Data, and the American Community Survey 3
Increasing American Community Survey Participation Through Improved
Respondent Communication References Appendixes Appendix A: Workshop
Agenda and Participant List Appendix B: Biographical Sketches of
Planning Committee Members and Presenters Committee on National
Statistics
To derive statistics about crime ? to estimate its levels and
trends, assess its costs to and impacts on society, and inform law
enforcement approaches to prevent it - a conceptual framework for
defining and thinking about crime is virtually a prerequisite.
Developing and maintaining such a framework is no easy task,
because the mechanics of crime are ever evolving and shifting: tied
to shifts and development in technology, society, and legislation.
Interest in understanding crime surged in the 1920s, which proved
to be a pivotal decade for the collection of nationwide crime
statistics. Now established as a permanent agency, the Census
Bureau commissioned the drafting of a manual for preparing crime
statistics?intended for use by the police, corrections departments,
and courts alike. The new manual sought to solve a perennial
problem by suggesting a standard taxonomy of crime. Shortly after
the Census Bureau issued its manual, the International Association
of Chiefs of Police in convention adopted a resolution to create a
Committee on Uniform Crime Records ?to begin the process of
describing what a national system of data on crimes known to the
police might look like. Report 1 performed a comprehensive
reassessment of what is meant by crime in U.S. crime statistics and
recommends a new classification of crime to organize measurement
efforts. This second report examines methodological and
implementation issues and presents a conceptual blueprint for
modernizing crime statistics. Table of Contents Front Matter
Summary 1 Introduction 2 "Traditional" and "New" Crime: Structuring
a Modern Crime Statistics Enterprise 3 Coordination and Governance
of Modern National Crime Statistics References Appendixes Appendix
A: Charge to the Panel on Modernizing the Nation's Crime Statistics
Appendix B: Historical Themes in the Development of U.S. Nationa
lCrime Statistics Appendix C: Coverage of Recommended Crime
Classification in Current Crime Statistics Appendix D: Remaining
Methodology and Implementation Issues for Modern Crime Statistics
Appendix E: Excerpted State Legal Requirements for Crime Reporting
Appendix F: Cautionary Tales from International Experience:
Police-Report Crime Statistics in the United Kingdom Appendix G:
Biographical Sketches of Panel Members and Staff Committee on
National Statistics
The decennial census is foundational to the functioning of American
democracy, and maintaining the public's trust in the census and its
resulting data is a correspondingly high-stakes affair. The 2020
Census was implemented in light of severe and unprecedented
operational challenges, adapting to the COVID-19 pandemic, natural
disasters, and other disruptions. This interim report from a panel
of the Committee on National Statistics discusses concepts of error
and quality in the decennial census as prelude to the panel?s
forthcoming fuller assessment of 2020 Census data, process
measures, and quality metrics. The panel will release a final
report that will include conclusions about the quality of the 2020
Census and make recommendations for further research by the U.S.
Census Bureau to plan the 2030 Census. Table of Contents Front
Matter Summary 1 Introduction 2 Frameworks for Understanding the
Decennial Census and Its Quality 3 Other Evaluations of the 2020
Census 4 Initial Conclusions and the Path Ahead References
Appendixes Appendix A: Glossary and Abbreviations Appendix B:
Public Meeting Agendas Appendix C: Biographical Sketches of Panel
Members and Staff Committee on National Statistics
The Committee on National Statistics of the National Academies of
Sciences, Engineering, and Medicine convened a 2-day public
workshop from December 11-12, 2019, to discuss the suite of data
products the Census Bureau will generate from the 2020 Census. The
workshop featured presentations by users of decennial census data
products to help the Census Bureau better understand the uses of
the data products and the importance of these uses and help inform
the Census Bureau's decisions on the final specification of 2020
data products. This publication summarizes the presentation and
discussion of the workshop. Table of Contents Front Matter 1
Introduction 2 Disclosure Avoidance in the 2020 Census 3 Geospatial
Analyses of Social and Demographic Conditions 4 Redistricting and
Related Legal Uses 5 Delivery of Government Services 6 Business and
Private Sector Applications 7 Use as Denominators for Rates and
Baseline for Estimates 8 Identification of Rural and Special
Populations: American Indians and Alaska Natives 9 Identification
of Rural and Special Populations: Small Communities, the Young, and
the Elderly 10 Panel Discussion on Key Privacy Issues 11 Census
Bureau's Responses and Own Analyses of 2010 Demonstration Data
Products 12 Summary of Breakout Discussion Sessions References
Appendixes Appendix A: Workshop Agenda and Participants Appendix B:
Biographical Sketches of Planning Committee Members and External
Presenters Committee on National Statistics
In the wake of a large-scale disaster, from the initial devastation
through the long tail of recovery, protecting the health and
well-being of the affected individuals and communities is
paramount. Accurate and timely information about mortality and
significant morbidity related to the disaster are the cornerstone
of the efforts of the disaster management enterprise to save lives
and prevent further health impacts. Conversely, failure to
accurately capture mortality and significant morbidity data
undercuts the nation's capacity to protect its population.
Information about disaster-related mortality and significant
morbidity adds value at all phases of the disaster management
cycle. As a disaster unfolds, the data are crucial in guiding
response and recovery priorities, ensuring a common operating
picture and real-time situational awareness across stakeholders,
and protecting vulnerable populations and settings at heightened
risk. A Framework for Assessing Mortality and Morbidity After
Large-Scale Disasters reviews and describes the current state of
the field of disaster-related mortality and significant morbidity
assessment. This report examines practices and methods for data
collection, recording, sharing, and use across state, local,
tribal, and territorial stakeholders; evaluates best practices; and
identifies areas for future resource investment. Table of Contents
Front Matter Summary 1 Introduction 2 Value and Use of Mortality
and Morbidity Data 3 Operational Considerations for Individual
Counts of Mortality and Morbidity 4 Analytical Considerations for
Population Estimates of Mortality and Morbidity 5 Meeting the
Mission Appendix A: Preliminary Literature Review Strategy Appendix
B: Public Workshop Agendas Appendix C: Assessing Morbidity and
Mortality Associated with the COVID-19 Pandemic: A Case Study
Illustrating the Need for the Recommendations in This Report
Appendix D: Integrating Community Vulnerabilities into the
Assessment of Disaster-Related Morbidity and Mortality: Two
Illustrative Case Studies Appendix E: Committee and Staff
Biographical Sketches
To derive statistics about crime ? to estimate its levels and
trends, assess its costs to and impacts on society, and inform law
enforcement approaches to prevent it ? a conceptual framework for
defining and thinking about crime is virtually a prerequisite.
Developing and maintaining such a framework is no easy task,
because the mechanics of crime are ever evolving and shifting: tied
to shifts and development in technology, society, and legislation.
Interest in understanding crime surged in the 1920s, which proved
to be a pivotal decade for the collection of nationwide crime
statistics. Now established as a permanent agency, the Census
Bureau commissioned the drafting of a manual for preparing crime
statistics?intended for use by the police, corrections departments,
and courts alike. The new manual sought to solve a perennial
problem by suggesting a standard taxonomy of crime. Shortly after
the Census Bureau issued its manual, the International Association
of Chiefs of Police in convention adopted a resolution to create a
Committee on Uniform Crime Records ?to begin the process of
describing what a national system of data on crimes known to the
police might look like. The key distinction between the rigorous
classification proposed in this report and the "classifications"
that have come before in U.S. crime statistics is that it is
intended to partition the entirety of behaviors that could be
considered criminal offenses into mutually exclusive categories.
Modernizing Crime Statistics: Report 1: Defining and Classifying
Crime assesses and makes recommendations for the development of a
modern set of crime measures in the United States and the best
means for obtaining them. This first report develops a new
classification of crime by weighing various perspectives on how
crime should be defined and organized with the needs and demands of
the full array of crime data users and stakeholders. Table of
Contents Front Matter Summary 1 Introduction: Crime Statistics in
the United States 2 Current Scope and State of Nationally Compiled
Crime Data 3 Users (and Uses) of Crime Statistics 4 Historical and
Extant Classifications of Crime 5 Proposed Classification of Crime
for Statistical Purposes References Appendixes Appendix A: Charge
to the Panel on Modernizing the Nation's Crime Statistics Appendix
B: Participants in the Panel's Workshop-Style Meetings and Regular
Sessions Appendix C: Alternative and Example Classifications of
Crime Appendix D: Detailed Definitions and Exclusions, Panel's
Proposed Classification of Crime Appendix E: Biographical Sketches
of Panel Members and Staff Committee on National Statistics
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Envisioning the 2020 Census (Paperback)
National Research Council, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on the Design of the 2010 Census Program of Evaluations and Experiments; Edited by Constance F Citro, …
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R2,495
Discovery Miles 24 950
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Ships in 12 - 17 working days
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Planning for the 2020 census is already beginning. This book from
the National Research Council examines several aspects of census
planning, including questionnaire design, address updating,
non-response follow-up, coverage follow-up, de-duplication of
housing units and residents, editing and imputation procedures, and
several other census operations. This book recommends that the
Census Bureau overhaul its approach to research and development.
The report urges the Bureau to set cost and quality goals for the
2020 and future censuses, improving efficiency by taking advantage
of new technologies. Table of Contents Front Matter Part I: Final
Report Summary 1 Introduction 2 Planning the 2020 Census: Cost and
Quality 3 Census Bureau Research, Past and Present 4 Revitalizing
Census Research and Development Appendix A: Past Census Research
Programs Appendix B: 2010 Census Program of Evaluations and
Experiments Part II: Interim Report: Experimentation and Evaluation
in the 2010 Census (December 7, 2007) Executive Summary 1
Introduction 2 Initial Views on 2010 Census Experiments 3 Initial
Views on 2010 Census Evaluations 4 Considerations for the 2010
Census Appendix A: The Census Bureau's Suggested Topics for
Research Appendix B: Internet Response Options in Selected
Population Censuses Part III: Letter Report (February 19, 2009)
Letter Report References Biographical Sketches of Panel Members and
Staff Committee on National Statistics
In June 2012, the Committee on National Statistics (sponsored by
the U.S. Census Bureau) convened a Workshop on the Benefits (and
Burdens) of the American Community Survey (ACS)---the detailed
demographic and economic survey that began full-scale data
collection in 2005 and that replaced the traditional "long form" in
the 2010 census. ACS data are used by numerous federal agencies to
administer programs, yet the ACS only moved from abstraction to
reality for most users in 2010, when the first ACS estimates for
small areas (based on 5 years of collected data) were made
available. Hence, the workshop marked the opportunity to develop a
picture of the breadth of the nonfederal user base of the
ACS---among them, the media, policy research and evaluation groups
(that distill ACS results for the media and broader public), state
and local agencies, businesses and economic development
organizations, and local and regional planning authorities---and to
gather information on users' experiences with the first full
releases of ACS products.
In addition to covering innovative uses of the information now
available on a continuous basis in the ACS, the workshop gave
expression to the challenges and burdens associated with the
survey: the time burden places on respondents, the challenges of
explaining and interpreting estimates with increased levels of
variability, and the privacy and confidentiality implications of
some of the ACS content. Benefits, Burdens, and Prospects of the
American Community Survey: Summary of a Workshop provides a factual
summary of the workshop proceedings and hints at the contours of
the ACS user constituency, providing important input to the ongoing
review and refinement of the ACS program.
It is easy to underestimate how little was known about crimes and
victims before the findings of the National Crime Victimization
Survey (NCVS) became common wisdom. In the late 1960s, knowledge of
crimes and their victims came largely from reports filed by local
police agencies as part of the Federal Bureau of Investigation's
(FBI) Uniform Crime Reporting (UCR) system, as well as from studies
of the files held by individual police departments. Criminologists
understood that there existed a "dark figure" of crime consisting
of events not reported to the police. However, over the course of
the last decade, the effectiveness of the NCVS has been undermined
by the demands of conducting an increasingly expensive survey in an
effectively flat-line budgetary environment. Surveying Victims:
Options for Conducting the National Crime Victimization Survey,
reviews the programs of the Bureau of Justice Statistics (BJS.)
Specifically, it explores alternative options for conducting the
NCVS, which is the largest BJS program. This book describes various
design possibilities and their implications relative to three basic
goals; flexibility, in terms of both content and analysis; utility
for gathering information on crimes that are not well reported to
police; and small-domain estimation, including providing
information on states or localities. This book finds that, as
currently configured and funded, the NCVS is not achieving and
cannot achieve BJS's mandated goal to "collect and analyze data
that will serve as a continuous indication of the incidence and
attributes of crime." Accordingly, Surveying Victims recommends
that BJS be afforded the budgetary resources necessary to generate
accurate measure of victimization.
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