JSM Activity #CE_15CThis 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. To View the Program: You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time. |
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Legend: = Applied Session,
= Theme Session,
= Presenter FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center |
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CE_15C | Mon, 8/9/04, 8:00 AM - 4:00 PM | FRY-British Columbia |
Introduction to Survey Quality (1 Day Course) - Continuing Education - Course | ||
ASA, Section on Survey Research Methods | ||
Instructor(s): Paul P. Biemer, RTI International and UNC-CH, Lars E. Lyberg, Statistics Sweden | ||
The course will span a range of topics dealing with the quality of data collected through the survey process. Total survey error, as measured by the mean squared error and its component parts, is the primary criterion for assessing the quality of the survey data. The course begins with a discussion of total survey error and its relationship to survey costs and provides a number of measures of survey quality that will be used throughout the course. Then the major sources of survey error are discussed in some detail. In particular, we examine a) the origins of each error source (i.e., its root causes), b) the most successful methods that have been proposed for reducing the errors emanating from these error sources, and c) methods that are most often used in practice for evaluating the effects of the source on total survey error. The target audience for the course is persons who perform tasks associated with surveys and may work with survey data but are not necessarily trained survey researchers. These are survey project directors, data collection managers, survey specialists, statisticians, data processors, interviewers, and other operations personnel who would benefit from a better understanding of the concepts of survey data quality, including sampling error and confidence intervals, validity, reliability, mean squared error, cost-quality tradeoffs in survey design, nonresponse error, sampling frame error, measurement error, specification error, data processing error, methods for evaluating survey data, and how to optimize survey quality through the optimal use of survey resources. | ||
JSM 2004
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please contact the Education Department. |