JSM 2004 - Toronto

Abstract #300336

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Activity Number: 61
Type: Invited
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Government Statistics
Abstract - #300336
Title: From Survey Data to Multiple Types of Data in Historical and Real Time
Author(s): Juanita T. Lott*+ and Fritz J. Scheuren and Jay Keller and David Banks
Companies: U.S. Census Bureau and NORC, University of Chicago and U.S. Census Bureau and Duke University
Address: HRD, 3-3024, Washington, DC, 20233-0001,
Keywords: real-time data ; gold standard ; federal statistical system
Abstract:

This paper addresses one fundamental topic in addressing real-life, real-time, quickly made decisions--the evolution of data requirements for federal statistical systems in relation to heightened expectations of various data users. Our focus is limited to delineating federal data requirements over time in relation to various types of data that are now routinely expected since survey data were heavily introduced in the 1940s. We provide examples of statistical innovations that respond to heightened expectations and close with some thoughts and characteristics that might be part of the effort needed to define a gold standard for social measurement in the 21st century.

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Revised March 2004