National assessment approach to sampling error estimation /

National assessment approach to sampling error estimation /

Saved in:
Bibliographic Details
Author / Creator:Folsom, Ralph E.
Imprint:[Place of publication not identified] RTI Press/RTI International, 2014.
Description:1 online resource
Language:English
Subject:
Educational evaluation.
Educational tests and measurements.
Academic achievement -- Testing.
Instructional systems -- Design -- Evaluation.
Academic achievement -- Testing
Educational evaluation
Educational tests and measurements
Instructional systems -- Design -- Evaluation
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12340366
Hidden Bibliographic Details
ISBN:9781934831137
1934831131
Notes:Title from content provider.
Includes bibliographical references.
Summary:"The National Assessment of Educational Progress (NAEP) can be viewed as an annual series large-scale sample surveys designed to measure the educational achievements of four age group s in 10 subject areas. The four specific age groups include all 9-year-olds and 13-year olds enrolled in school at the time of assessment and all 17-year-olds and young adults, aged 26 to 35. The first assessment of science, writing, and citizenship spanned the 1969-70 school year. Subsequent assessments were conducted during the 1970-71, 1971-72, and 1972-73 school years ... "--Introduction.
Table of Contents:
  • 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.

Similar Items