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ERIC Number: ED547819
Record Type: Non-Journal
Publication Date: 2012
Pages: 105
Abstractor: As Provided
Reference Count: N/A
ISBN: 978-1-2674-7326-4
Ranked Set Sampling and Its Applications in Educational Statistics
Stovall, Holly
ProQuest LLC, Ph.D. Dissertation, Southern Methodist University
Over the past decade educational research has been stimulated by new legislation such as the No Child Left Behind Act. Increasing emphasis is being placed on accurately quantifying the success of treatment programs through student achievement scores, so precise estimation is vital for establishing the efficacy of new methodology. Ranked set sampling is a sampling design that uses the rankings of an inexpensive covariate in an attempt to select a more representative sample that provides better estimation of population parameters. The use of ranked set sampling for hierarchical linear models is developed for applications in educational data since a multitude of possible ranking information exists at both the student and school level. The performance of a nonparametric estimator of the treatment effect as well as the maximum likelihood estimator is explored, and results indicate that the precision of these estimators may be improved by ranked set sampling. Thus, a true difference in performance between the treatment group and control group may be more detectable when ranked set sampling is employed. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page:]
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A