This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 29A deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 29B is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects. Comprehensive account of recent developments in sample survey theory and practiceDiscusses a wide variety of diverse applicationsComprehensive bibliography
Author(s): Danny Pfeffermann, C.R. Rao
Publisher: Elsevier
Year: 2009
Language: English
Pages: 723
Front Cover......Page 1
Title Page......Page 4
Copyright Page......Page 5
Preface to Handbook 29A......Page 6
Table of Contents......Page 8
Contributors: Vol. 29A......Page 20
Part 1: Sampling and Survey Design......Page 26
1. Importance of survey design......Page 28
2. Framework and approaches to design and inference......Page 29
3. Challenges in survey design......Page 31
1. Two alternative approaches to survey sampling inference......Page 34
2. Historical approaches to survey sampling inference......Page 38
3. Some common sampling strategies......Page 46
4. Conclusion......Page 62
1. Introduction......Page 64
2. Some methods of unequal probability sampling......Page 65
3. Point estimation in unequal probability sampling without replacement......Page 72
4. Variance estimators free of joint inclusion probabilities......Page 73
5. Variance estimation of a function of means......Page 75
6. Balanced sampling......Page 76
1. Introduction......Page 80
2. Using auxiliary information in estimation......Page 85
3. Three-phase sampling......Page 90
4. Two-phase estimation illustration......Page 91
1. What are multiple-frame surveys, and why are they used?......Page 96
2. Point estimation in multiple-frame surveys......Page 101
3. Variance estimation in multiple-frame surveys......Page 108
5. New applications and challenges for multiple-frame surveys......Page 110
Acknowledgments......Page 113
1. Introduction......Page 114
2. Repeated surveys......Page 116
3. Rotating panel surveys......Page 119
4. Panel surveys......Page 122
5. Conclusions......Page 133
1. Introduction......Page 134
2. Modifications to classical design-based sampling strategies......Page 135
3. Adaptive sampling designs......Page 140
5. Confidence interval estimation......Page 148
6. Summary......Page 149
1. Introduction......Page 150
2. Design of RDD surveys......Page 151
3. Conduct of RDD surveys......Page 159
4. Analysis of RDD surveys......Page 171
Part 2: Survey Processing......Page 180
1. Overview of data processing steps......Page 182
2. Data quality and data processing......Page 187
1. Nonresponse in surveys......Page 188
2. Response rates......Page 192
3. The relationship between response rates and nonresponse bias......Page 195
4. Weighting for nonresponse......Page 199
5. Variance and confidence interval estimation......Page 206
6. Discussion......Page 208
1. Introduction......Page 212
2. The use of edit rules......Page 213
3. Interactive editing......Page 214
4. Editing during the data collection phase......Page 216
5. Selective editing......Page 217
6. Automatic editing......Page 223
7. Macro-editing......Page 232
8. A strategy for statistical data editing......Page 236
9. Discussion......Page 238
1. Introduction......Page 240
2. Context and defnitions......Page 241
3. Bias of the imputed estimator......Page 249
4. Variance of the imputed estimator......Page 255
5. Imputation classes......Page 256
6. Variance estimation......Page 260
7. Multiple imputation......Page 268
8. Conclusions......Page 271
1. Introduction......Page 272
2. Estimation of the mean of an asymmetric distribution in an infinite population......Page 275
3. The estimation of totals in finite populations containing outliers......Page 281
4. The estimation of totals using auxiliary information in finite populations containing outliers......Page 284
5. Dealing with stratum jumpers......Page 295
6. Practical issues and future work......Page 303
1. Introduction......Page 306
2. Modeling survey measurement error......Page 307
3. The truth as a latent variable: Latent class models......Page 314
4. Latent class models for three or more polytomous indicators......Page 319
5. Some advanced topics......Page 328
6. Measurement error evaluation with continuous variables......Page 334
7. Discussion......Page 340
1. Survey process......Page 342
2. Data collection......Page 343
3. Statistical data editing......Page 350
4. Imputation......Page 357
5. Weighting adjustment......Page 361
6. Analysis......Page 368
7. Disclosure control......Page 373
1. Introduction......Page 376
2. Overview of methods......Page 378
3. Data preparation......Page 391
4. More advanced methods......Page 395
5. Concluding remarks......Page 405
1. Introduction......Page 406
2. Tabular outputs......Page 409
3. Microdata......Page 413
Acknowledgments......Page 421
Part 3: Survey Applications......Page 422
1. Frames and designs......Page 424
2. Stratification, allocation and sampling......Page 426
3. Estimation......Page 427
4. Auxiliary information......Page 428
5. Challenges......Page 429
1. Introduction......Page 432
2. Survey designs......Page 433
3. Repeated household surveys......Page 440
4. Data collection......Page 450
5. Weighting and estimation......Page 452
6. Nonsampling errors in household surveys......Page 460
7. Integration of household surveys......Page 461
9. Conclusions......Page 463
Acknowledgments......Page 464
1. Introduction......Page 466
2. Sampling frames for business surveys......Page 467
3. Administrative data......Page 471
4. Sample size determination and allocation......Page 475
5. Sample selection and rotation......Page 482
6. Data editing and imputation......Page 485
7. Estimation......Page 492
1. Introduction......Page 496
2. Sampling......Page 498
3. Data collection......Page 505
4. Statistical estimation......Page 507
6. Concluding remarks......Page 510
Acknowledgments......Page 511
1. Introduction......Page 512
2. Sampling populations in space......Page 514
3. Defining sample frames for environmental populations......Page 515
4. Designs for probability-based environmental samples......Page 517
5. Using ancillary information in design......Page 525
6. Inference for probability-based design......Page 527
7. Model-based optimal spatial designs......Page 528
8. Plot design issues......Page 531
9. Sources of error in environmental studies......Page 533
Acknowledgements......Page 537
1. Introduction......Page 538
2. Telephone surveys......Page 542
4. Shopping center sampling and interviewing......Page 552
5. Consumer panels......Page 554
6. Web surveys......Page 559
7. Conclusion......Page 563
1. Introduction......Page 564
2. The use of sample surveys for estimating coverage errors......Page 566
3. The use of sample surveys to evaluate statistical adjustment of census counts......Page 577
4. The use of sample surveys for carrying out a census......Page 583
5. Sample surveys carried out in conjunction with a census......Page 587
6. Concluding remarks......Page 589
1. Introduction: the reasons for public opinion and election polling......Page 592
2. General methodological issues in public opinion and election polls......Page 600
3. Preelection polling: methods, impact, and current issues......Page 605
4. Exit polling......Page 609
6. Other opinion measurements: focus groups, deliberative polls, and the effect of political events......Page 613
7. Present and future challenges in polling......Page 615
8. Continued interest in public opinion and polling......Page 619
Acknowledgments......Page 620
References......Page 622
Subject Index: Index of Vol. 29A......Page 676
Handbook of Statistics: Contents of Previous Volumes......Page 696
