JSM 2004 - Toronto

Abstract #301211

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number: 181
Type: Topic Contributed
Date/Time: Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Government Statistics
Abstract - #301211
Title: Proposed Standards for Planning, Designing, and Conducting Surveys
Author(s): Marilyn M. Seastrom*+ and Jennifer Madans
Companies: National Center for Education Statistics and National Center for Health Statistics
Address: 1990 K Street NW, Washington, DC, 20006,
Keywords: standards ; statistical policy ; survey planning ; survey design ; conducting surveys ; documenting surveys
Abstract:

In 2003 OMB created a subcommittee of the Federal Committee on Statistical Methodology (FCSM) to make recommendations for a major revision of OMB Directive 1: Standards for Federal Surveys, and Directive 2: Standards for Publication of Statistics. In response to this request, the subcommittee adopted the framework developed by federal statistical agencies in response to the OMB Information Quality Guidelines requirements of 2002, and used that framework to develop a set of recommended Standards for Federal Surveys. The draft document from the subcommittee includes some eight chapters. This paper will summarize the background and introduction and discuss the contents of the first three chapters of the draft document--Development of Concepts and Methods, Planning and Design, and Collection of Data. To that end, topics ranging from planning and pretesting to data collection methods and documentation will be covered, along with a consideration of the measurement of nonresponse, developing sampling frames, and maintaining data series over time.

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