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Activity Number: 252
Type: Contributed
Date/Time: Tuesday, August 8, 2006 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #305575
Title: Variance Estimation in a Survey for Iowa's State Board of Education
Author(s): Michael D. Larsen and Lu Lu*+
Companies: Iowa State University and Iowa State University
Address: 202D Snedecor Hall, Ames, IA, 50014,
Keywords: stratified multistage sampling ; one-psu-per-stratum design ; non-invariant design ; collapsed stratum estimator ; generalized variance function ; ratio estimator
Abstract:

Iowa's State Board of Education carried out a stratified multistage sample survey to study the availability of employment preparation courses and the degree to which students enroll in those courses in Iowa's public schools. Three survey sampling issues arose in the design that was implemented. First, the design actually is not invariant. Usual variance estimators are compared to simulated sampling distributions. Second, some PSUs in the stratified multistage sampling design have only one PSU per stratum. The collapsed variance estimator, model-based estimators based on generalized variance functions, and a ratio estimator based on auxiliary variables are proposed and compared. Results are based on a simulation study. Third, as part of ongoing work, the relative costs of adding schools versus adding students to the sample will be evaluated.


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