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231204s2014 xx o ||||0 eng d |
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|a 9781934831137
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|a (MiAaPQ)EBC6824334
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|a (Au-PeEL)EBL6824334
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|a (OCoLC)1105784287
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|a MiAaPQ
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|a MLCM 2021/42192
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|a Folsom, Ralph E.
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|a National Assessment Approach to Sampling Error Estimation.
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|a 1st ed.
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|a Research Triangle Park, NC :
|b RTI International / RTI Press,
|c 2014.
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|c Ã2014.
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|a 1 online resource (96 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a RTI Press Publication
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|a 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).
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|a 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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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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|a Electronic books.
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|i Print version:
|a Folsom, Ralph E.
|t National Assessment Approach to Sampling Error Estimation
|d Research Triangle Park, NC : RTI International / RTI Press,c2014
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|a ProQuest (Firm)
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| 830 |
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|a RTI Press Publication
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=6824334
|z Click to View
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