LEADER 04689nam 22007095 450 001 996499868503316 005 20240222151026.0 010 $a3-031-14525-9 024 7 $a10.1007/978-3-031-14525-4 035 $a(MiAaPQ)EBC7147168 035 $a(Au-PeEL)EBL7147168 035 $a(CKB)25483410300041 035 $a(DE-He213)978-3-031-14525-4 035 $a(PPN)266352847 035 $a(EXLCZ)9925483410300041 100 $a20221125d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances on Sampling Methods and Educational Statistics$b[electronic resource] $eIn Honor of S. Lynne Stokes /$fedited by Hon Keung Tony Ng, Daniel F. Heitjan 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (292 pages) 225 1 $aEmerging Topics in Statistics and Biostatistics,$x2524-7743 311 08$aPrint version: Ng, Hon Keung Tony Recent Advances on Sampling Methods and Educational Statistics Cham : Springer International Publishing AG,c2022 9783031145247 320 $aIncludes bibliographical references and index. 327 $a1. Predictive modelling and judgement post-stratification -- 2. Judgment post-stratified sampling: A comparison with ranked-set sampling -- 3. Efficient sample allocation by local adjustment for unbalanced ranked-set sampling -- 4. On the versatility of capture-recapture modeling: We can?t count what we don?t see -- 5. Advances in the use of capture-recapture methodology in the estimation of U.S. census coverage error -- 6. Measurement issues in synthesizing survey-item responses -- 7. Effects of two sources of nonsampling error in fishing surveys -- 8. Triple system estimation with erroneous enumerations -- 9. Record linkage in statistical sampling: Past, present, and future -- 10. A Bayesian latent variable model for analysis of empathic accuracy in psychology -- 11. Variance Estimation for Random-Groups Linking in Large-Scale Survey Assessments -- 12. Item Response Theory and Fisher Information for Small Tests -- 13. Statistical Evaluation of Process Variables: A Case Study on Writing Tool Usage in Educational Survey Assessment. . 330 $aThis edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling. S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes' main areas of research, this volume is structured into three main parts: I. ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods II. nonsampling errors in statistical sampling III. educational and behavioral statistics This collection will be of interest to researchers, advanced students, and professionals in the public and private sectors who would like to learn more about latest advancements in statistical sampling, particularly those who work in educational and behavioral statistics. 410 0$aEmerging Topics in Statistics and Biostatistics,$x2524-7743 606 $aStatistics 606 $aPsychometrics 606 $aEducation$xResearch 606 $aApplied Statistics 606 $aPsychometrics 606 $aStatistical Theory and Methods 606 $aEducational Research 606 $aMostreig (Estadística)$2thub 606 $aEstadística educativa$2thub 606 $aMetodologia$2thub 608 $aLlibres electrònics$2thub 615 0$aStatistics. 615 0$aPsychometrics. 615 0$aEducation$xResearch. 615 14$aApplied Statistics. 615 24$aPsychometrics. 615 24$aStatistical Theory and Methods. 615 24$aEducational Research. 615 7$aMostreig (Estadística) 615 7$aEstadística educativa 615 7$aMetodologia 676 $a929.374 702 $aNg$b Hon Keung Tony 702 $aHeitjan$b Daniel F. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996499868503316 996 $aRecent advances on sampling methods and educational statistics$93084128 997 $aUNISA