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0 (hodnocen0 x )

EB

ONLINE

1st ed.

Research Triangle Park, NC : RTI International / RTI Press, 2014

1 online resource (96 pages)

ISBN 9781934831137 (electronic bk.)

RTI Press Publication

Print version: Folsom, Ralph E. National Assessment Approach to Sampling Error Estimation Research Triangle Park, NC : RTI International / RTI Press,c2014

Intro -- Figure 4-1. Montreal model (true variance vs. estimated variances) -- Figure 4-2. New model with t = 2 (true variance vs. estimated variance) -- Figure 4-3. New model with t = 1 (true variance vs. estimated variance) -- Foreword -- Preface -- About the Author -- Introduction -- National Assessment Overview -- Population Characteristics and Sample Statistics -- Statistical Inference -- Balanced Effects -- References -- Year 01 Sampling Errors -- Design Description -- Parameters of Interest -- Variance Estimators -- Computational Considerations -- Summary Analysis of Year 01 Sampling Errors -- References -- Controlled Selection: Implications for Year 02 Variances -- Introduction to Controlled Selection -- General Population Structure and the Sample Design -- References -- Simulation Study of Alternative Year 02 Variance Estimators -- Simulation Model -- Variance Approximations -- Empirical Results -- Comparison of Taylor Series and Jackknife Linearizations -- References -- Comparison of Year 01 and Year 02 Sampling Errors -- Comparative Analysis -- References -- Conclusions -- Taylor Series Linearization for Regression Coefficients -- Population Definitions -- Estimation -- Taylor Series Variance Approximation -- Taylor Series Variance Estimator -- Statistical Inference -- Table 2-1. Distribution of national design effects -- Table 2-3. Median design effects for size of community subpopulation P-value estimates -- Table 2-4. Median design effects for regional subpopulation P-value estimates (9- and 13-year-olds only) -- Table 2-5. Median design effects for sex subpopulation P-value estimates -- Table 4-1. Primary sample allocation summary for the West -- Table 4-2. Bias comparisons for four variance estimators (Montreal model) -- Table 4-3. Root mean squared error of variance estimators (Montreal model).

Table 4-4. Average performance of variance estimators (Montreal model) -- Table 4-5. Sampling distributions for normal and t-like statistics -- Table 4-6. Bias comparisons for three variance estimators under the new model with t = 2 -- Table 4-7. Design effects with N = 744 for new model with t = 2 -- Table 4-8. Bias comparisons for the new model with t = 1 -- Table 4-10. Average performance of variance estimates under the new model with t = 2 -- Table 4-11. Average performance of variance estimates under the new model with t = 1 -- Table 4-12. Sampling distributions for Gaussian-type statistics -- Table 4-13. Sampling distributions for Student’s t-like statistics using V2 -- Table 4-14. Bias comparisons for the new model with t = 1 and a Taylor series linearization -- Table 4-16. Sampling distributions for t-like statistics -- Table 5-1. Stem and leaf display of Year 02 national DEFFs -- Table 5-2. Distributions of Year 01 and 02 national DEFFs -- Table 5-3. Comparison of regional DEFFs -- Table 5-4. Year 02 DEFFs by size of community -- Blank Page -- Blank Page.

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