Sampling of populations: methods and applications
Gespeichert in:
| Hauptverfasser: | , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2008
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| Ausgabe: | 4. ed. |
| Schriftenreihe: | Wiley series in survey methodology
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| Schlagworte: | |
| Online-Zugang: | Publisher description Inhaltsverzeichnis |
| Beschreibung: | XXXI, 576 S. graph. Darst. |
| ISBN: | 9780470040072 0470040076 |
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Datensatz im Suchindex
| _version_ | 1804138018397749248 |
|---|---|
| adam_text | Contents
Tables xvi
Boxes xx
Figures xxii
Getting Files from the Wiley ftp and Internet Sites xxiii
List of Data Sites Provided on Web Site xxiv
Preface to the Fourth Edition xxv
PART 1 BASIC CONCEPTS 1
1. Uses of Sample Surveys 3
1.1 Why Sample Surveys Are Used, 3
1.2 Designing Sample Surveys, 5
1.2.1 Sample Design, 5
1.2.2 Survey Measurements, 6
1.2.3 Survey Operations, 6
1.2.4 Statistical Analysis and Report Writing, 7
1.3 Preliminary Planning of a Sample Survey, 7
Exercises, 8
Bibliography, 9
2. The Population and the Sample 11
2.1 The Population, 11
2.1.1 Elementary Units, 13
2.1.2 Population Parameters, 13
2.2 The Sample, 18
2.2.1 Probability and Nonprobability Sampling, 18
2.2.2 Sampling Frames, Sampling Units, and Enumeration Units, 19
2.3 Sampling Measurements and Summary Statistics, 20
2.2.4 Estimation of Population Characteristics, 22
vu
viii CONTENTS
2.3 Sampling Distributions, 25
2.4 Characteristics of Estimates of Population Parameters, 30
2.4.1 Bias, 31
2.4.2 Mean Square Error, 32
2.4.3 Validity, Reliability, and Accuracy, 35
2.5 Criteria for a Good Sample Design, 36
2.6 Summary, 37
Exercises, 37
Bibliography, 42
PART 2 MAJOR SAMPLING DESIGNS AND ESTIMATION
PROCEDURES 43
3. Simple Random Sampling 45
3.1 What Is a Simple Random Sample?, 45
3.1.1 How to Take a Simple Random Sample, 46
3.1.2 Probability of an Element Being Selected, 47
3.2 Estimation of Population Characteristics Under Simple Random
Sampling, 49
3.2.1 Estimation Formulas,49
3.2.2 Numerical Computation of Estimates and Their Standard
Errors, 50
3.3 Sampling Distributions of Estimated Population Characteristics, 55
3.4 Coefficients of Variation of Estimated Population Parameters, 58
3.5 Reliability of Estimates, 61
3.6 Estimation of Parameters for Subdomains, 64
3.7 How Large a Sample Do We Need?, 70
3.8 Why Simple Random Sampling Is Rarely Used, 75
3.9 Summary,76
Exercises, 76
Bibliography, 79
4. Systematic Sampling 83
4.1 How To Take a Systematic Sample, 83
4.2 Estimation of Population Characteristics, 84
4.3 Sampling Distribution of Estimates, 86
4.4 Variance of Estimates, 90
4.5 A Modification That Always Yields Unbiased Estimates, 92
4.6 Estimation of Variances, 100
4.7 Repeated Systematic Sampling, 103
CONTENTS ix
4.7.1 Use of Stata For Estimation In Repeated Systematic
Sampling, 107
4.7.2 Use of SUDAAN for Estimation in Repeated Systematic
Sampling, 109
4.8 How Large a Sample Do We Need?, 111
4.9 Using Frames That Are Not Lists, 113
4.10 Summary, 114
Exercises, 114
Bibliography, 120
5. Stratification and Stratified Random Sampling 121
5.1 What Is a Stratified Random Sample?, 121
5.2 How to Take a Stratified Random Sample, 122
5.3 Why Stratified Sampling? 122
5.4 Population Parameters for Strata, 128
5.5 Sample Statistics for Strata, 133
5.6 Estimation of Population Parameters from Stratified Random
Sampling, 134
5.7 Summary, 139
Exercises, 139
Bibliography, 142
6. Stratified Random Sampling: Further Issues 143
6.1 Estimation of Population Parameters, 143
6.2 Sampling Distributions of Estimates, 144
6.3 Estimation of Standard Errors, 146
6.4 Estimation of Characteristics of Subgroups, 148
6.5 Allocation of Sample to Strata, 150
6.5.1 Equal Allocation, 151
6.5.2 Proportional Allocation: Self-Weighting Samples, 151
6.5.3 Optimal Allocation, 158
6.5.4 Optimal Allocation and Economics, 160
6.6 Stratification After Sampling, 168
6.7 How Large a Sample Is Needed?, 175
6.8.Construction of Stratum Boundaries and Desired Number of
Strata, 179
6.9 Summary, 183
Exercises, 184
Bibliography, 188
x CONTENTS
7. Ratio Estimation 189
7.1 Ratio Estimation Under Simple Random Sampling, 190
7.2 Estimation of Ratios for Subdomains Under Simple Random
Sampling, 198
7.3 Poststratified Ratio Estimates Under Simple Random Sampling, 200
7.4 Ratio Estimation of Totals Under Simple Random Sampling, 204
7.5 Comparison of Ratio Estimate with Simple Inflation Estimate, 210
7.6 Approximation to the Standard Error of the Ratio Estimated Total,
211
7.7 Determination of Sample Size, 212
7.8 Regression Estimation of Totals, 213
7.9 Ratio Estimation in Stratified Random Sampling, 215
7.10 Summary, 218
Exercises, 218
Bibliography, 222
8. Cluster Sampling: Introduction and Overview 223
8.1 What Is Cluster Sampling? 224
8.2 Why Is Cluster Sampling Widely Used? 226
8.3 A Disadvantage of Cluster Sampling: High Standard Errors, 228
8.4 How Cluster Sampling Is Treated in This Book, 229
8.5 Summary, 229
Exercises, 230
Bibliography, 230
9. Simple One-Stage Cluster Sampling 231
9.1 How to Take a Simple One-Stage Cluster Sample, 232
9.2 Estimation of Population Characteristics, 232
9.3 Sampling Distributions of Estimates, 250
9.4 How Large a Sample Is Needed?, 254
9.5 Reliability of Estimates and Costs Involved, 256
9.6 Choosing a Sampling Design Based on Cost and Reliability, 258
9.7 Summary, 263
Exercises, 263
Bibliography, 268
10. Two-Stage Cluster Sampling: Clusters Sampled with Equal
Probability 269
10.1 Situation in Which all Clusters Have the Same Number N, of
Enumeration Units, 270
CONTENTS xi
10.1.1 How to Take a Simple Two-Stage Cluster Sample, 270
10.1.2 Estimation of Population Characteristics, 271
10.1.3 Estimation of Standard Errors, 273
10.1.4 Sampling Distribution of Estimates, 284
10.1.5 How Large a Sample Is Needed? 289
10.1.6 Choosing the Optimal Cluster Size « Considering Costs, 292
10.1.7 Some Shortcut Formulas for Determining the Optimal
Number «, 295
10.2 Situation in Which Not All Clusters Have the Same Number N¡of
Enumeration Units, 300
10.2.1 How to Take a Simple Two-Stage Cluster Sample for This
Design, 300
10.2.2 Estimation of Population Characteristics, 301
10.2.3 Estimation of Standard Errors of Estimates, 301
10.2.4 Sampling Distribution of Estimates, 311
10.2.5 How Large a Sample Do We Need? 314
10.2.6 Choosing the Optimal Cluster Size « Considering Costs, 317
10.3 Systematic Sampling as Cluster Sampling, 319
10.4 Summary, 320
Exercises, 321
Bibliography, 330
11. Cluster Sampling in Which Clusters Are Sampled
with Unequal Probability: Probability Proportional to Size
Sampling 331
11.1 Motivation for Not Sampling Clusters with Equal Probability, 332
11.2 Two General Classes of Estimators Valid for Sample Designs in
Which Units Are Selected with Unequal Probability, 336
11.2.1 The Horvitz-Thompson Estimator, 336
11.2.2 The Hansen-Hurwitz Estimator, 337
11.3 Probability Proportional to Size Sampling, 340
11.3.1 Probability Proportional to Size Sampling with Replacement:
Use of the Hansen-Hurwitz Estimator, 342
11.3.2 PPS Sampling When the Measure of Size Variable Is not the
Number of Enumeration Units, 350
11.3.3 How to Take a PPS Sample with Replacement, 353
11.3.4 Sequential Methods of PPS Sampling with Replacement-
Chromy s Probability with Minimum Replacement (PMR)
Method, 353
11.3.5 How Large a Sample Is Needed for a Two-Stage Sample in
Which Clusters Are Selected PPS with Replacement? 356
xii CONTENTS
11.3.6 Telephone PPS Sampling: The Mitofsky-Waksberg Method
of Random Digit Dialing, 359
11.4 Further Comment on PPS Sampling, 361
11.5 Summary, 361
Exercises, 362
Bibliography, 364
12. Variance Estimation in Complex Sample Surveys 367
12.1 Linearization, 368
12.2 Replication Methods, 373
12.2.1 The Balanced Repeated Replication Method, 373
12.2.2 Jackknife Estimation, 381
12.2.3 Estimation of Interviewer Variability by Use of Replicated
Sampling (Interpenetrating Samples), 384
12.3 Summary, 386
Exercises, 387
Technical Appendix, 390
Bibliography, 392
PART 3 SELECTED TOPICS IN SAMPLE SURVEY
METHODOLOGY 395
13. Nonresponse and Missing Data in Sample Surveys 397
13.1 Effect of Nonresponse on Accuracy of Estimates, 397
13.2 Methods of Increasing the Response Rate in Sample Surveys, 399
13.2.1 Increasing the Number of Households Contacted
Successfully, 399
13.2.2 Increasing the Completion Rate in Mail Questionnaires,400
13.2.3 Decreasing the Number of Refusals in Face-to-Face
Telephone Interviews,400
13.2.4 Using Endorsements,401
13.3 Mail Surveys Combined with Interviews of Nonrespondents,402
13.3.1 Determination of Optimal Fraction of Initial Nonrespondents
to Subsample for Intensive Effort, 403
13.3.2 Determination of Sample Size Needed for a Two-Stage Mail
Survey, 405
13.4 Other Uses of Double (or Two-Phase) Sampling Methodology,
406
13.5 Item Nonresponse: Methods of Imputation, 408
CONTENTS xiü
13.5.1 Mechanisms by Which Missing Values Arise, 408
13.5.2 Some Methods for Analyzing Data in the Presence of Missing
Values, 411
13.5.3 Some Imputation Methods, 412
13.6 Multiple Imputation, 416
13.7 Summary, 419
Exercises, 419
Bibliography, 425
14. Selected Topics in Sample Design and Estimation
Methodology 427
14.1 World Health Organization EPI Surveys: A Modification of PPS
Sampling for Use in Developing Countries, 427
14.2 Quality Assurance Sampling, 429
14.3 Sample Sizes for Longitudinal Studies, 432
14.3.1 Simple Random Sampling, 433
14.3.2 Simple One-Stage Cluster Sampling, 434
14.3.3 Cluster Sampling with More Than One Domain, 435
14.4 Estimation of Prevalence of Diseases from Screening Studies, 436
14.5 Estimation of Rare Events: Network Sampling, 440
14.6 Estimation of Rare Events: Dual Samples, 444
14.7 Estimation of Characteristics for Local Areas: Synthetic
Estimation, 446
14.8 Extraction of Sensitive Information: Randomized Response
Techniques, 449
14.9 Summary, 451
Exercises, 451
Bibliography, 452
15. Telephone Survey Sampling 455
Michael W. Link and Mansour Fahimi
15.1 Introduction, 455
15.1.1 The Twentieth Century, 455
15.1.2 The Twenty-First Century, 456
15.2 History of Telephone Sampling in the United States, 456
15.2.1 Early Design of Telephone Surveys, 457
15.2.2 Random Digit Dialing, 457
15.2.3 Mitofsky-Waksberg Sampling Method, 458
15.2.4 List-Assisted Random Digit Dialing Methods, 458
15.3 Within-Househoíd Selection Techniques, 459
15.3.1 Probability-Based Methods, 460
15.3.2 Quasi-Probability Methods, 460
xiv CONTENTS
15.3.3 Nonprobability Methods, 461
15.3.4 Minimally Intrusive Method, 461
15.4 Steps in the Telephone Survey Process, 461
15.4.1 Computer-Assisted Telephone Interviewing, 462
15.4.2 Quality Control in Telephone Surveys, 463
15.5 Drawing and Managing a Telephone Survey Sample, 463
15.5.1 Drawing the Sample, 463
15.5.2 Managing the Sample, 464
15.5.3 Developing an Analysis File, 465
15.5.4 Data Weighting and Adjustment, 466
15.6 Post-Survey Data Enhancement Procedures, 466
15.6.1 Data Weighting, 466
15.6.2 Steps in the Weighting Process, 466
15.6.3 Compensation for Exclusion of Nontelephone
Households, 474
15.7 Imputation of Missing Data, 476
15.8 Declining Coverage and Response Rates, 477
15.9 Addressing the Problems with Cell Phones, 478
15.9.1 Research on Cell Phone Surveys, 479
15.9.2 Sampling from the Cell Phone Frame, 479
15.10 Address-Based Sampling, 482
Exercises, 483
Bibliography, 483
16. Constructing the Survey Weights 489
Paul P. Biemer and Sharon L. Christ
16.1 Introduction, 489
16.2 Objectives of Weighting, 492
16.2.1 Basic Concepts, 492
16.2.2 Weighting to Reduce Frame Bias, 494
16.2.3 Weighting to Reduce Nonresponse Bias, 495
16.2.4 Weighting to Reduce Sampling Variance, 496
16.3 Constructing the Sampling Weights, 498
16.3.1 Base Weights, 499
16.3.2 Nonresponse Adjustments, 501
16.3.3 Frame Coverage Adjustments, 505
16.3.4 Constructing the Final Weights, 510
16.4 Estimation and Analysis Issues, 511
16.4.1 Effect of Weighting on the Variance, 511
16.4.2 Using Weights in Analysis, 513
16.5 Summary, 514
Bibliography, 515
CONTENTS xv
17 Strategies for Design-Based Analysis of Sample Survey
Data 517
17.1 Steps Required for Performing a Design-Based Analysis, 518
17.2 Analysis Issues for Typical Sample Surveys, 528
17.3 Summary, 535
Technical Appendix, 535
Bibliography, 536
Appendix 537
Answers to Selected Exercises 543
Index 571
|
| adam_txt |
Contents
Tables xvi
Boxes xx
Figures xxii
Getting Files from the Wiley ftp and Internet Sites xxiii
List of Data Sites Provided on Web Site xxiv
Preface to the Fourth Edition xxv
PART 1 BASIC CONCEPTS 1
1. Uses of Sample Surveys 3
1.1 Why Sample Surveys Are Used, 3
1.2 Designing Sample Surveys, 5
1.2.1 Sample Design, 5
1.2.2 Survey Measurements, 6
1.2.3 Survey Operations, 6
1.2.4 Statistical Analysis and Report Writing, 7
1.3 Preliminary Planning of a Sample Survey, 7
Exercises, 8
Bibliography, 9
2. The Population and the Sample 11
2.1 The Population, 11
2.1.1 Elementary Units, 13
2.1.2 Population Parameters, 13
2.2 The Sample, 18
2.2.1 Probability and Nonprobability Sampling, 18
2.2.2 Sampling Frames, Sampling Units, and Enumeration Units, 19
2.3 Sampling Measurements and Summary Statistics, 20
2.2.4 Estimation of Population Characteristics, 22
vu
viii CONTENTS
2.3 Sampling Distributions, 25
2.4 Characteristics of Estimates of Population Parameters, 30
2.4.1 Bias, 31
2.4.2 Mean Square Error, 32
2.4.3 Validity, Reliability, and Accuracy, 35
2.5 Criteria for a Good Sample Design, 36
2.6 Summary, 37
Exercises, 37
Bibliography, 42
PART 2 MAJOR SAMPLING DESIGNS AND ESTIMATION
PROCEDURES 43
3. Simple Random Sampling 45
3.1 What Is a Simple Random Sample?, 45
3.1.1 How to Take a Simple Random Sample, 46
3.1.2 Probability of an Element Being Selected, 47
3.2 Estimation of Population Characteristics Under Simple Random
Sampling, 49
3.2.1 Estimation Formulas,49
3.2.2 Numerical Computation of Estimates and Their Standard
Errors, 50
3.3 Sampling Distributions of Estimated Population Characteristics, 55
3.4 Coefficients of Variation of Estimated Population Parameters, 58
3.5 Reliability of Estimates, 61
3.6 Estimation of Parameters for Subdomains, 64
3.7 How Large a Sample Do We Need?, 70
3.8 Why Simple Random Sampling Is Rarely Used, 75
3.9 Summary,76
Exercises, 76
Bibliography, 79
4. Systematic Sampling 83
4.1 How To Take a Systematic Sample, 83
4.2 Estimation of Population Characteristics, 84
4.3 Sampling Distribution of Estimates, 86
4.4 Variance of Estimates, 90
4.5 A Modification That Always Yields Unbiased Estimates, 92
4.6 Estimation of Variances, 100
4.7 Repeated Systematic Sampling, 103
CONTENTS ix
4.7.1 Use of Stata For Estimation In Repeated Systematic
Sampling, 107
4.7.2 Use of SUDAAN for Estimation in Repeated Systematic
Sampling, 109
4.8 How Large a Sample Do We Need?, 111
4.9 Using Frames That Are Not Lists, 113
4.10 Summary, 114
Exercises, 114
Bibliography, 120
5. Stratification and Stratified Random Sampling 121
5.1 What Is a Stratified Random Sample?, 121
5.2 How to Take a Stratified Random Sample, 122
5.3 Why Stratified Sampling? 122
5.4 Population Parameters for Strata, 128
5.5 Sample Statistics for Strata, 133
5.6 Estimation of Population Parameters from Stratified Random
Sampling, 134
5.7 Summary, 139
Exercises, 139
Bibliography, 142
6. Stratified Random Sampling: Further Issues 143
6.1 Estimation of Population Parameters, 143
6.2 Sampling Distributions of Estimates, 144
6.3 Estimation of Standard Errors, 146
6.4 Estimation of Characteristics of Subgroups, 148
6.5 Allocation of Sample to Strata, 150
6.5.1 Equal Allocation, 151
6.5.2 Proportional Allocation: Self-Weighting Samples, 151
6.5.3 Optimal Allocation, 158
6.5.4 Optimal Allocation and Economics, 160
6.6 Stratification After Sampling, 168
6.7 How Large a Sample Is Needed?, 175
6.8.Construction of Stratum Boundaries and Desired Number of
Strata, 179
6.9 Summary, 183
Exercises, 184
Bibliography, 188
x CONTENTS
7. Ratio Estimation 189
7.1 Ratio Estimation Under Simple Random Sampling, 190
7.2 Estimation of Ratios for Subdomains Under Simple Random
Sampling, 198
7.3 Poststratified Ratio Estimates Under Simple Random Sampling, 200
7.4 Ratio Estimation of Totals Under Simple Random Sampling, 204
7.5 Comparison of Ratio Estimate with Simple Inflation Estimate, 210
7.6 Approximation to the Standard Error of the Ratio Estimated Total,
211
7.7 Determination of Sample Size, 212
7.8 Regression Estimation of Totals, 213
7.9 Ratio Estimation in Stratified Random Sampling, 215
7.10 Summary, 218
Exercises, 218
Bibliography, 222
8. Cluster Sampling: Introduction and Overview 223
8.1 What Is Cluster Sampling? 224
8.2 Why Is Cluster Sampling Widely Used? 226
8.3 A Disadvantage of Cluster Sampling: High Standard Errors, 228
8.4 How Cluster Sampling Is Treated in This Book, 229
8.5 Summary, 229
Exercises, 230
Bibliography, 230
9. Simple One-Stage Cluster Sampling 231
9.1 How to Take a Simple One-Stage Cluster Sample, 232
9.2 Estimation of Population Characteristics, 232
9.3 Sampling Distributions of Estimates, 250
9.4 How Large a Sample Is Needed?, 254
9.5 Reliability of Estimates and Costs Involved, 256
9.6 Choosing a Sampling Design Based on Cost and Reliability, 258
9.7 Summary, 263
Exercises, 263
Bibliography, 268
10. Two-Stage Cluster Sampling: Clusters Sampled with Equal
Probability 269
10.1 Situation in Which all Clusters Have the Same Number N, of
Enumeration Units, 270
CONTENTS xi
10.1.1 How to Take a Simple Two-Stage Cluster Sample, 270
10.1.2 Estimation of Population Characteristics, 271
10.1.3 Estimation of Standard Errors, 273
10.1.4 Sampling Distribution of Estimates, 284
10.1.5 How Large a Sample Is Needed? 289
10.1.6 Choosing the Optimal Cluster Size « Considering Costs, 292
10.1.7 Some Shortcut Formulas for Determining the Optimal
Number «, 295
10.2 Situation in Which Not All Clusters Have the Same Number N¡of
Enumeration Units, 300
10.2.1 How to Take a Simple Two-Stage Cluster Sample for This
Design, 300
10.2.2 Estimation of Population Characteristics, 301
10.2.3 Estimation of Standard Errors of Estimates, 301
10.2.4 Sampling Distribution of Estimates, 311
10.2.5 How Large a Sample Do We Need? 314
10.2.6 Choosing the Optimal Cluster Size « Considering Costs, 317
10.3 Systematic Sampling as Cluster Sampling, 319
10.4 Summary, 320
Exercises, 321
Bibliography, 330
11. Cluster Sampling in Which Clusters Are Sampled
with Unequal Probability: Probability Proportional to Size
Sampling 331
11.1 Motivation for Not Sampling Clusters with Equal Probability, 332
11.2 Two General Classes of Estimators Valid for Sample Designs in
Which Units Are Selected with Unequal Probability, 336
11.2.1 The Horvitz-Thompson Estimator, 336
11.2.2 The Hansen-Hurwitz Estimator, 337
11.3 Probability Proportional to Size Sampling, 340
11.3.1 Probability Proportional to Size Sampling with Replacement:
Use of the Hansen-Hurwitz Estimator, 342
11.3.2 PPS Sampling When the Measure of Size Variable Is not the
Number of Enumeration Units, 350
11.3.3 How to Take a PPS Sample with Replacement, 353
11.3.4 Sequential Methods of PPS Sampling with Replacement-
Chromy's Probability with Minimum Replacement (PMR)
Method, 353
11.3.5 How Large a Sample Is Needed for a Two-Stage Sample in
Which Clusters Are Selected PPS with Replacement? 356
xii CONTENTS
11.3.6 Telephone PPS Sampling: The Mitofsky-Waksberg Method
of Random Digit Dialing, 359
11.4 Further Comment on PPS Sampling, 361
11.5 Summary, 361
Exercises, 362
Bibliography, 364
12. Variance Estimation in Complex Sample Surveys 367
12.1 Linearization, 368
12.2 Replication Methods, 373
12.2.1 The Balanced Repeated Replication Method, 373
12.2.2 Jackknife Estimation, 381
12.2.3 Estimation of Interviewer Variability by Use of Replicated
Sampling (Interpenetrating Samples), 384
12.3 Summary, 386
Exercises, 387
Technical Appendix, 390
Bibliography, 392
PART 3 SELECTED TOPICS IN SAMPLE SURVEY
METHODOLOGY 395
13. Nonresponse and Missing Data in Sample Surveys 397
13.1 Effect of Nonresponse on Accuracy of Estimates, 397
13.2 Methods of Increasing the Response Rate in Sample Surveys, 399
13.2.1 Increasing the Number of Households Contacted
Successfully, 399
13.2.2 Increasing the Completion Rate in Mail Questionnaires,400
13.2.3 Decreasing the Number of Refusals in Face-to-Face
Telephone Interviews,400
13.2.4 Using Endorsements,401
13.3 Mail Surveys Combined with Interviews of Nonrespondents,402
13.3.1 Determination of Optimal Fraction of Initial Nonrespondents
to Subsample for Intensive Effort, 403
13.3.2 Determination of Sample Size Needed for a Two-Stage Mail
Survey, 405
13.4 Other Uses of Double (or Two-Phase) Sampling Methodology,
406
13.5 Item Nonresponse: Methods of Imputation, 408
CONTENTS xiü
13.5.1 Mechanisms by Which Missing Values Arise, 408
13.5.2 Some Methods for Analyzing Data in the Presence of Missing
Values, 411
13.5.3 Some Imputation Methods, 412
13.6 Multiple Imputation, 416
13.7 Summary, 419
Exercises, 419
Bibliography, 425
14. Selected Topics in Sample Design and Estimation
Methodology 427
14.1 World Health Organization EPI Surveys: A Modification of PPS
Sampling for Use in Developing Countries, 427
14.2 Quality Assurance Sampling, 429
14.3 Sample Sizes for Longitudinal Studies, 432
14.3.1 Simple Random Sampling, 433
14.3.2 Simple One-Stage Cluster Sampling, 434
14.3.3 Cluster Sampling with More Than One Domain, 435
14.4 Estimation of Prevalence of Diseases from Screening Studies, 436
14.5 Estimation of Rare Events: Network Sampling, 440
14.6 Estimation of Rare Events: Dual Samples, 444
14.7 Estimation of Characteristics for Local Areas: Synthetic
Estimation, 446
14.8 Extraction of Sensitive Information: Randomized Response
Techniques, 449
14.9 Summary, 451
Exercises, 451
Bibliography, 452
15. Telephone Survey Sampling 455
Michael W. Link and Mansour Fahimi
15.1 Introduction, 455
15.1.1 The Twentieth Century, 455
15.1.2 The Twenty-First Century, 456
15.2 History of Telephone Sampling in the United States, 456
15.2.1 Early Design of Telephone Surveys, 457
15.2.2 Random Digit Dialing, 457
15.2.3 Mitofsky-Waksberg Sampling Method, 458
15.2.4 List-Assisted Random Digit Dialing Methods, 458
15.3 Within-Househoíd Selection Techniques, 459
15.3.1 Probability-Based Methods, 460
15.3.2 Quasi-Probability Methods, 460
xiv CONTENTS
15.3.3 Nonprobability Methods, 461
15.3.4 Minimally Intrusive Method, 461
15.4 Steps in the Telephone Survey Process, 461
15.4.1 Computer-Assisted Telephone Interviewing, 462
15.4.2 Quality Control in Telephone Surveys, 463
15.5 Drawing and Managing a Telephone Survey Sample, 463
15.5.1 Drawing the Sample, 463
15.5.2 Managing the Sample, 464
15.5.3 Developing an Analysis File, 465
15.5.4 Data Weighting and Adjustment, 466
15.6 Post-Survey Data Enhancement Procedures, 466
15.6.1 Data Weighting, 466
15.6.2 Steps in the Weighting Process, 466
15.6.3 Compensation for Exclusion of Nontelephone
Households, 474
15.7 Imputation of Missing Data, 476
15.8 Declining Coverage and Response Rates, 477
15.9 Addressing the Problems with Cell Phones, 478
15.9.1 Research on Cell Phone Surveys, 479
15.9.2 Sampling from the Cell Phone Frame, 479
15.10 Address-Based Sampling, 482
Exercises, 483
Bibliography, 483
16. Constructing the Survey Weights 489
Paul P. Biemer and Sharon L. Christ
16.1 Introduction, 489
16.2 Objectives of Weighting, 492
16.2.1 Basic Concepts, 492
16.2.2 Weighting to Reduce Frame Bias, 494
16.2.3 Weighting to Reduce Nonresponse Bias, 495
16.2.4 Weighting to Reduce Sampling Variance, 496
16.3 Constructing the Sampling Weights, 498
16.3.1 Base Weights, 499
16.3.2 Nonresponse Adjustments, 501
16.3.3 Frame Coverage Adjustments, 505
16.3.4 Constructing the Final Weights, 510
16.4 Estimation and Analysis Issues, 511
16.4.1 Effect of Weighting on the Variance, 511
16.4.2 Using Weights in Analysis, 513
16.5 Summary, 514
Bibliography, 515
CONTENTS xv
17 Strategies for Design-Based Analysis of Sample Survey
Data 517
17.1 Steps Required for Performing a Design-Based Analysis, 518
17.2 Analysis Issues for "Typical" Sample Surveys, 528
17.3 Summary, 535
Technical Appendix, 535
Bibliography, 536
Appendix 537
Answers to Selected Exercises 543
Index 571 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Levy, Paul S. 1936- Lemeshow, Stanley 1948- |
| author_GND | (DE-588)13627479X (DE-588)136273823 |
| author_facet | Levy, Paul S. 1936- Lemeshow, Stanley 1948- |
| author_role | aut aut |
| author_sort | Levy, Paul S. 1936- |
| author_variant | p s l ps psl s l sl |
| building | Verbundindex |
| bvnumber | BV035070436 |
| callnumber-first | H - Social Science |
| callnumber-label | HB849 |
| callnumber-raw | HB849.49 |
| callnumber-search | HB849.49 |
| callnumber-sort | HB 3849.49 |
| callnumber-subject | HB - Economic Theory and Demography |
| classification_rvk | MR 2100 MS 4000 QH 235 QU 300 RB 10103 RB 10561 RB 10792 XF 4311 |
| ctrlnum | (OCoLC)213765571 (DE-599)BVBBV035070436 |
| dewey-full | 304.601/51952 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 304 - Factors affecting social behavior |
| dewey-raw | 304.601/51952 |
| dewey-search | 304.601/51952 |
| dewey-sort | 3304.601 551952 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie Wirtschaftswissenschaften Medizin Geographie |
| discipline_str_mv | Soziologie Wirtschaftswissenschaften Medizin Geographie |
| edition | 4. ed. |
| format | Book |
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| id | DE-604.BV035070436 |
| illustrated | Illustrated |
| index_date | 2024-07-02T22:04:04Z |
| indexdate | 2024-07-09T21:21:31Z |
| institution | BVB |
| isbn | 9780470040072 0470040076 |
| language | English |
| lccn | 2008004934 |
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| physical | XXXI, 576 S. graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Wiley |
| record_format | marc |
| series2 | Wiley series in survey methodology |
| spelling | Levy, Paul S. 1936- Verfasser (DE-588)13627479X aut Sampling of populations methods and applications Paul S. Levy ; Stanley Lemeshow 4. ed. Hoboken, NJ Wiley 2008 XXXI, 576 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Wiley series in survey methodology Analyse démographique Échantillonnage (Statistique) Population Statistical methods Sampling (Statistics) Bevölkerungsstatistik (DE-588)4006298-3 gnd rswk-swf Demographie (DE-588)4011412-0 gnd rswk-swf Stichprobe (DE-588)4057502-0 gnd rswk-swf Bevölkerungsstruktur (DE-588)4246600-3 gnd rswk-swf Datenerhebung (DE-588)4155272-6 gnd rswk-swf Statistische Analyse (DE-588)4116599-8 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Bevölkerungsstatistik (DE-588)4006298-3 s Stichprobe (DE-588)4057502-0 s DE-604 Demographie (DE-588)4011412-0 s Statistische Analyse (DE-588)4116599-8 s 1\p DE-604 Sozialwissenschaften (DE-588)4055916-6 s 2\p DE-604 Bevölkerungsstruktur (DE-588)4246600-3 s 3\p DE-604 Datenerhebung (DE-588)4155272-6 s 4\p DE-604 Lemeshow, Stanley 1948- Verfasser (DE-588)136273823 aut http://www.loc.gov/catdir/enhancements/fy0826/2008004934-d.html Publisher description HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016738828&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Levy, Paul S. 1936- Lemeshow, Stanley 1948- Sampling of populations methods and applications Analyse démographique Échantillonnage (Statistique) Population Statistical methods Sampling (Statistics) Bevölkerungsstatistik (DE-588)4006298-3 gnd Demographie (DE-588)4011412-0 gnd Stichprobe (DE-588)4057502-0 gnd Bevölkerungsstruktur (DE-588)4246600-3 gnd Datenerhebung (DE-588)4155272-6 gnd Statistische Analyse (DE-588)4116599-8 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
| subject_GND | (DE-588)4006298-3 (DE-588)4011412-0 (DE-588)4057502-0 (DE-588)4246600-3 (DE-588)4155272-6 (DE-588)4116599-8 (DE-588)4055916-6 |
| title | Sampling of populations methods and applications |
| title_auth | Sampling of populations methods and applications |
| title_exact_search | Sampling of populations methods and applications |
| title_exact_search_txtP | Sampling of populations methods and applications |
| title_full | Sampling of populations methods and applications Paul S. Levy ; Stanley Lemeshow |
| title_fullStr | Sampling of populations methods and applications Paul S. Levy ; Stanley Lemeshow |
| title_full_unstemmed | Sampling of populations methods and applications Paul S. Levy ; Stanley Lemeshow |
| title_short | Sampling of populations |
| title_sort | sampling of populations methods and applications |
| title_sub | methods and applications |
| topic | Analyse démographique Échantillonnage (Statistique) Population Statistical methods Sampling (Statistics) Bevölkerungsstatistik (DE-588)4006298-3 gnd Demographie (DE-588)4011412-0 gnd Stichprobe (DE-588)4057502-0 gnd Bevölkerungsstruktur (DE-588)4246600-3 gnd Datenerhebung (DE-588)4155272-6 gnd Statistische Analyse (DE-588)4116599-8 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
| topic_facet | Analyse démographique Échantillonnage (Statistique) Population Statistical methods Sampling (Statistics) Bevölkerungsstatistik Demographie Stichprobe Bevölkerungsstruktur Datenerhebung Statistische Analyse Sozialwissenschaften |
| url | http://www.loc.gov/catdir/enhancements/fy0826/2008004934-d.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016738828&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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