Recent Advances on Sampling Methods and Educational Statistics

1. Front Matter

   Pages i-xxvi

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2. Ranked-Set Sampling, Judgement Post-stratified Sampling, and Capture-Recapture Methods

   1. Front Matter

      Pages 1-1

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   2. Predictive Modelling and Judgement Post-stratification

      • Steven N. MacEachern, Jiae Kim

      Pages 3-20

   3. Judgment Post-stratified Sampling with Multiple Ranking: A Comparison with Ranked Set Sampling

      • Omer Ozturk, Jennifer Brown, Olena Kravchuk

      Pages 21-43

   4. Efficient Sample Allocation by Local Adjustment for Unbalanced Ranked Set Sampling

      • Soohyun Ahn, Xinlei Wang, Johan Lim

      Pages 45-60

   5. On the Versatility of Capture-Recapture Modeling: Counting What We Don’t See

      • James D. Nichols

      Pages 61-91

   6. Advances in the Use of Capture-Recapture Methodology in the Estimation of U.S. Census Coverage Error

      • Mary H. Mulry, Vincent T. Mule Jr.

      Pages 93-116

3. Nonsampling Errors in Statistical Sampling

   1. Front Matter

      Pages 117-117

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   2. Measurement Issues in Synthesizing Survey-Item Responses

      • Betsy Jane Becker, Ahmet Serhat Gözütok

      Pages 119-140

   3. Two Sources of Nonsampling Error in Fishing Surveys

      • J. Michael Brick, William R. Andrews, John Foster

      Pages 141-155

   4. Triple System Estimation with Erroneous Enumerations

      • Paul P. Biemer, G. Gordon Brown, Christopher Wiesen

      Pages 157-186

   5. Record Linkage in Statistical Sampling: Past, Present, and Future

      • Benjamin Williams

      Pages 187-198

4. Educational and Behavioral Statistics

   1. Front Matter

      Pages 199-199

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   2. A Bayesian Latent Variable Model for Analysis of Empathic Accuracy

      • Linh H. Nghiem, Benjamin A. Tabak, Zachary Wallmark, Talha Alvi, Jing Cao

      Pages 201-214

   3. Variance Estimation for Random-Groups Linking in Large-Scale Survey Assessments

      • Bingchen Liu, Yue Jia, John Mazzeo

      Pages 215-231

   4. Item Response Theory and Fisher Information for Small Tests

      • Bivin Philip Sadler, S. Lynne Stokes

      Pages 233-250

   5. Statistical Evaluation of Process Variables: A Case Study on Writing Tool Usage in Educational Survey Assessment

      • Yue Jia, Yi-Hsuan Lee

      Pages 251-273

5. Back Matter

   Pages 275-278

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This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling.

S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes' main areas of research, this volume is structured into three main parts:

I. ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods 

II. nonsampling errors in statistical sampling 

III. educational and behavioral statistics.

This collection will be of interest to researchers, advanced students, and professionals in the public and private sectors who would like to learn more about latest advancements in statistical sampling, particularly those who work in educational and behavioral statistics.

• ranked-set sampling
• capture-recapture methods
• non-sampling errors in surveys
• educational statistics
• behavioral statistics
• Statistics in Social Sciences

• Department of Mathematical Sciences, Bentley University, Waltham, USA

  Hon Keung Tony Ng

• Department of Statistical Science, Southern Methodist University, Dallas, USA

  Daniel F. Heitjan

Hon Keung Tony Ng is a Professor with the Department of Mathematical Sciences, Bentley University, Waltham, MA, USA. Before joining Bentley University in July 2022, he was at Southern Methodist University for 20 years (2002-2022). He received the Ph.D. degree in mathematics from McMaster University, Hamilton, ON, Canada, in 2002. He is an associate editor of Communications in Statistics, Computational Statistics, IEEE Transactions on Reliability, Journal of Statistical Computation and Simulation, Naval Research Logistics, Sequential Analysis, and Statistics and Probability Letters. His research interests include reliability, censoring methodology, ordered data analysis, non-parametric methods, and statistical inference. He has published more than 150 research papers in refereed journals. He is the co-author of the book Precedence-Type Tests and Applications and co-editor of Ordered Data Analysis, Modeling and Health Research Methods; Statistical Modeling for Degradation Data; Statistical Quality Technologies: Theory and Practice; and Bayesian Inference and Computation in Reliability and Survival Analysis. Professor Ng is an elected senior member of IEEE (2008), an elected member of the International Statistical Institute (2008), and an elected fellow of the American Statistical Association (2016).

Daniel F. Heitjan is Professor and Chair of Statistical Science at SMU and Professor of Population & Data Sciences at UT Southwestern Medical Center.  A native of Detroit, he earned a BSc in Mathematics (1981), an MSc in Statistics (1984), and a PhD in Statistics (1985) from the University of Chicago.  He served on the faculties of UCLA (1985–1988), Penn State (1988–1995), Columbia University (1995–2002), and the University of Pennsylvania (2002–2014) before moving to Texas in 2014.  Dr. Heitjan has over 200 publications in the literature of medicine and statistics, and is an elected Fellow of the American Statistical Association (1997), the Institute of Mathematical Statistics (2012), and the Society for Clinical Trials (2017).  He has served as Program Chair of the Joint Statistical Meetings (2005), Chair of the American Statistical Association’s Biometrics Section (2009), and President of the Eastern North American Region of the International Biometric Society (2013).  His research interests include causal modeling, the theory of inference with incomplete data, and methods in clinical biostatistics.