Survey Sampling and Measurement

Survey Sampling and Measurement contains the invited papers presented at the Second Symposium on Survey Sampling held at Chapel Hill in April 1977.
The volume is divided into seven parts. Part I makes a plea towards improving the quality of sample surveys via the creation of a computerized system of information on error estimates associated with the design and execution of surveys. It also suggests a realistic agenda for future work in survey sampling practice and theory. Part II contains papers dealing with specific methodological problems. Part III examines selected problems of analysis of survey data. The papers in Part IV deal with nonresponse, undercoverage, and related problems. Part V focuses on time series analysis. Part VI discusses applications of sample survey data and methods. Part VII addresses the gap between current survey practices and recent theoretical developments.
It is hoped that this volume will be of interest to survey statisticians as well as to survey data users. If it stimulates thoughtful and courageous attack on some of the unresolved problems in survey sampling, its mission will have been amply fulfilled

Contenu

List of Contributors
Preface
Acknowledgments
Part I General Issues
1 Some Design Issues in Sample Surveys

1. Introduction
2. Background
3. Total Survey Design
4. Total Survey Error Models
5. Some Examples
6. A Sample Survey Design Information System
7. Conclusion
   References
   2 On the Future of Survey Sampling
8. Introduction
9. NE-Needed and Expected
10. NW-Needed but Waiting
11. SE-Superfluous and Expected
12. SW-Superfluous and Waiting
    Part II Specific Methodological Problems
    3 Variance Estimates for Complex Statistics from Multistage Sample Surveys
13. Introduction
14. Notation
15. Application of Central-Limit Theorem
16. Taylorized Deviation
17. Independent Replications
18. Pseudoreplications
19. Jackknife
20. Computations
21. Other Issues
22. Comparison of Techniques
23. Further Research
    References
    4 Estimation of Nonsampling Variance Components in Sample Surveys
24. Introduction
25. Assumptions Made
26. Model Formulation
27. Complete Specification of Survey Design
28. Conditional Estimation of Variance Components
29. Linear Estimates of Target Parameters and Their Variances
30. Summary
    References
    5 Some Statistical Problems Associated with Continuing Cross-Sectional Surveys
31. Introduction
32. Problems Associated with Sampling Frames Arising from Changes over Time
33. Problems in Sample Design and Estimation
34. Measurement Problems in Continuing Surveys
35. Problems in Data Collection Techniques
36. Some Sampling Problems Associated with the Analysis of Time Series
37. Concluding Comments
    References
    6 A Survey of Surveys: Some Sampling Frame Problems
38. Introduction
39. Background
40. Sample Frame Problems
41. Problems Requiring Further Attention
42. Conclusions
    References
    Part III Problems in the Analysis of Survey Data
    7 Victimization and the National Crime Survey: Problems of Design and Analysis
43. Introduction
44. Recording Crime
45. Design of the NCS
46. Published Analyses of the NCS Data
47. Modeling Victimization
48. Discussion
    References
    8 Some Problems of Inference from Economic Survey Data
49. Introduction
50. Pooling of Survey and Aggregate Time Series Data
51. Estimation of Disequilibrium Models from Survey Data
52. Simultaneous Equation Models Based on Sample Survey Data
    References
    9 The Role of Covariance Matrix Estimation in the Analysis of Complex Sample Survey Data
53. Introduction
54. A Framework for Survey Analysis
55. Examples
    References
    Part IV Nonresponse, Undercoverage, and Related Problems
    10 A Two-Phase Sample Design for Estimating the Finite Population Mean When There is Nonresponse
56. Introduction
57. Sample Design and Analysis
58. Optimal Sample Design
59. Nonresponse Problem
    References
    11 Adjustment for Nonresponse in Surveys
60. Introduction
61. Methods of Compensation for Nonresponse
62. Formulation of the Nonresponse Bias
63. An Alternative Approach to the Nonresponse Problem
64. Some Empirical Results
    References
    12 A Comparison of Some Adjustment and Weighting Procedures for Survey Data
65. Introduction
66. Adjustment Procedures for Selected Demographic Surveys
67. A Comparison of Variances for Two Imputation Procedures for Item Nonresponse
68. A Research Project to Permit Comparison of Alternative Procedures for Adjusting Data
69. Conclusion
    References
    Part V Time Series Analysis
    13 Principles and Problems in the Analysis of Repeated Surveys
70. Introduction
71. Some Examples
72. The Traditional Sampling Approach
73. The Time Series Approach
74. Examples Using the Time Series Approach
    References
    14 Estimation of Changing Seasonal Variations in Economic Time Series
75. Introduction
76. Seasonal Models
77. Basic Assumptions of the X-11-ARIMA Method of Seasonal Adjustment
78. Conclusions
    References
    Part VI Applications of Survey Data and Methods
    15 Use of Sample Surveys in National Planning in Developing Countries
79. Introduction
80. Types and Sources of Data
81. Data Requirements
82. Strategy for Data Planning
83. Role of Sampling
84. Quality of Survey Data
85. Problems of Use of Survey Data
86. Concluding Remarks
    References
    16 Models and Multidimensional Sampling with Applications in Geological Surveys
    Part VII The Gap between Theory and Practice
    17 Relevance of Randomization in Data Analysis
87. Introduction
88. Likelihood
89. A Survey Sampling Model
90. Why Randomize?
91. Randomization Analysis of Data
92. Randomization and Information
93. Information in Data
94. A Critical Review
    References
    18 An Empirical Study of Prediction Theory in Finite Population Sampling: Simple Random Sampling and the Ratio Estimator
95. Introduction
96. Background
97. The Study Populations
98. Results
99. Discussion
    Appendix. Computing Considerations
    References
    19 Comments on Papers by Basu and Royall and Cumberland
    20 Comments on Papers by Basu and Royall and Cumberland
100. Summary
101. Use of Superpopulations in Probability Sampling Design and Analysis
102. Prediction Theory
103. Specific Comments on the Paper by Royall and Cumberland
104. Specific Comments on the Paper by Basu
     References
     21 Comments on Papers by Basu and Royall and Cumberland
105. Some Remarks on the Paper by Royall and Cumberland
106. Some Remarks on the Paper by Basu
     References
     22 Reply to Godambe, Madow, and Rao
     23 Reply to Godambe, Madow, and Rao
     24 Estimation and Inferences from Sample Surveys: Some Comments on Recent Developments
107. Introduction
108. A Probability Sampling Model
109. Criticisms of the Probability Sampling Model in Recent Research: Comments on the Criticisms
110. Some Summary Remarks
     References
     Index