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Recent Advances on Sampling Methods and Educational Statistics

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Recent Advances on Sampling Methods and Educational Statistics
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Predictive Modelling and Judgement Post-stratification
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    Chapter 2 Judgment Post-stratified Sampling with Multiple Ranking: A Comparison with Ranked Set Sampling
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    Chapter 3 Efficient Sample Allocation by Local Adjustment for Unbalanced Ranked Set Sampling
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    Chapter 4 On the Versatility of Capture-Recapture Modeling: Counting What We Don’t See
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    Chapter 5 Advances in the Use of Capture-Recapture Methodology in the Estimation of U.S. Census Coverage Error
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    Chapter 6 Measurement Issues in Synthesizing Survey-Item Responses
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    Chapter 7 Two Sources of Nonsampling Error in Fishing Surveys
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    Chapter 8 Triple System Estimation with Erroneous Enumerations
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    Chapter 9 Record Linkage in Statistical Sampling: Past, Present, and Future
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    Chapter 10 A Bayesian Latent Variable Model for Analysis of Empathic Accuracy
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    Chapter 11 Variance Estimation for Random-Groups Linking in Large-Scale Survey Assessments
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    Chapter 12 Item Response Theory and Fisher Information for Small Tests
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    Chapter 13 Statistical Evaluation of Process Variables: A Case Study on Writing Tool Usage in Educational Survey Assessment
Attention for Chapter 13: Statistical Evaluation of Process Variables: A Case Study on Writing Tool Usage in Educational Survey Assessment
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Chapter title
Statistical Evaluation of Process Variables: A Case Study on Writing Tool Usage in Educational Survey Assessment
Chapter number 13
Book title
Recent Advances on Sampling Methods and Educational Statistics
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-14525-4_13
Book ISBNs
978-3-03-114524-7, 978-3-03-114525-4
Authors

Jia, Yue, Lee, Yi-Hsuan

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