Principles and Practices for a Federal Statistical Agency

Principles and Practices for a Federal Statistical Agency
Author: National Research Council
Publisher: National Academies Press
Total Pages: 94
Release: 2005-04-21
Genre: Social Science
ISBN: 0309095999

Since 1992, the Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency, updating the document every 4 years to provide a current edition to newly appointed cabinet secretaries at the beginning of each presidential administration. This third edition presents and comments on three basic principles that statistical agencies must embody in order to carry out their mission fully: (1) They must produce objective data that are relevant to policy issues, (2) they must achieve and maintain credibility among data users, and (3) they must achieve and maintain trust among data providers. The book also discusses 11 important practices that are means for statistical agencies to live up to the four principles. These practices include a commitment to quality and professional practice and an active program of methodological and substantive research.

Statistical Policy Handbook

Statistical Policy Handbook
Author: United States. Office of Federal Statistical Policy and Standards
Publisher:
Total Pages: 96
Release: 1978
Genre: United States
ISBN:

Principles and Practices for a Federal Statistical Agency

Principles and Practices for a Federal Statistical Agency
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 219
Release: 2017-08-27
Genre: Social Science
ISBN: 0309461677

Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens. In the United States, federal statistical agencies in cabinet departments and independent agencies are the governmental units whose principal function is to compile, analyze, and disseminate information for such statistical purposes as describing population characteristics and trends, planning and monitoring programs, and conducting research and evaluation. The work of these agencies is coordinated by the U.S. Office of Management and Budget. Statistical agencies may acquire information not only from surveys or censuses of people and organizations, but also from such sources as government administrative records, private-sector datasets, and Internet sources that are judged of suitable quality and relevance for statistical use. They may conduct analyses, but they do not advocate policies or take partisan positions. Statistical purposes for which they provide information relate to descriptions of groups and exclude any interest in or identification of an individual person, institution, or economic unit. Four principles are fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence from political and other undue external influence. Principles and Practices for a Federal Statistical Agency: Sixth Edition presents and comments on these principles as they've been impacted by changes in laws, regulations, and other aspects of the environment of federal statistical agencies over the past 4 years.

Introduction to Survey Quality

Introduction to Survey Quality
Author: Paul P. Biemer
Publisher: John Wiley & Sons
Total Pages: 420
Release: 2003-05-27
Genre: Mathematics
ISBN: 0471458724

Peruse the history of survey research and the essential conceptsfor data quality. With an emphasis on total survey error, theauthors review principles and concepts in the field and examineimportant unresolved issues in survey methods. Spanning a range oftopics dealing with the quality of data collected through thesurvey process, they focus on such key issues as: * Major sources of survey error, examining the origins of eacherror source most successful methods for reducing errors from thosesources * Methods most often used in practice for evaluating the effectsof the source on total survey error * Implications of improving survey quality for organizationalmanagement and costs