Applied survey methods : a statistical perspective /
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| Author / Creator: | Bethlehem, Jelke G. |
|---|---|
| Imprint: | Hoboken, N.J. : Wiley, c2009. |
| Description: | xi, 375 p. : ill., maps ; 25 cm. |
| Language: | English |
| Series: | Wiley series in survey methodology |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/7790869 |
Table of Contents:
- Preface
- 1. The Survey Process
- 1.1. About Surveys
- 1.2. A Survey, Step-by-Step
- 1.3. Some History of Survey Research
- 1.4. This Book
- 1.5. Samplonia
- Exercises
- 2. Basic Concepts
- 2.1. The Survey Objectives
- 2.2. The Target Population
- 2.3. The Sampling Frame
- 2.4. Sampling
- 2.5. Estimation
- Exercises
- 3. Questionnaire Design
- 3.1. The Questionnaire
- 3.2. Factual and Nonfactual Questions
- 3.3. The Question Text
- 3.4. Answer Types
- 3.5. Question Order
- 3.6. Questionnaire Testing
- Exercises
- 4. Single Sampling Designs
- 4.1. Simple Random Sampling
- 4.2. Systematic Sampling
- 4.3. Unequal Probability Sampling
- 4.4. Systematic Sampling with Unequal Probabilities
- Exercises
- 5. Composite Sampling Designs
- 5.1. Stratified Sampling
- 5.2. Cluster Sampling
- 5.3. Two-Stage Sampling
- 5.4. Two-Dimensional Sampling
- Exercises
- 6. Estimators
- 6.1. Use of Auxiliary Information
- 6.2. A Descriptive Model
- 6.3. The Direct Estimator
- 6.4. The Ratio Estimator
- 6.5. The Regression Estimator
- 6.6. The Poststratification Estimator
- Exercises
- 7. Data Collection
- 7.1. Traditional Data Collection
- 7.2. Computer-Assisted Interviewing
- 7.3. Mixed-Mode Data Collection
- 7.4. Electronic Questionnaires
- 7.5. Data Collection with Blaise
- Exercises
- 8. The Quality of the Results
- 8.1. Errors in Surveys
- 8.2. Detection and Correction of Errors
- 8.3. Imputation Techniques
- 8.4. Data Editing Strategies
- Exercises
- 9. The Nonresponse Problem
- 9.1. Nonresponse
- 9.2. Response Rates
- 9.3. Models for Nonresponse
- 9.4. Analysis of Nonresponse
- 9.5. Nonresponse Correction Techniques
- Exercises
- 10. Weighting Adjustment
- 10.1. Introduction
- 10.2. Poststratification
- 10.3. Linear Weighting
- 10.4. Multiplicative Weighting
- 10.5. Calibration Estimation
- 10.6. Other Weighting Issues
- 10.7. Use of Propensity Scores
- 10.8. A Practical Example
- Exercises
- 11. Online Surveys
- 11.1. The Popularity of Online Research
- 11.2. Errors in Online Surveys
- 11.3. The Theoretical Framework
- 11.4. Correction by Adjustment Weighting
- 11.5. Correction Using a Reference Survey
- 11.6. Sampling the Non-Internet Population
- 11.7. Propensity Weighting
- 11.8. Simulating the Effects of Undercoverage
- 11.9. Simulating the Effects of Self-Selection
- 11.10. About the Use of Online Surveys
- Exercises
- 12. Analysis and Publication
- 12.1. About Data Analysis
- 12.2. The Analysis of Dirty Data
- 12.3. Preparing a Survey Report
- 12.4. Use of Graphs
- Exercises
- 13. Statistical Disclosure Control
- 13.1. Introduction
- 13.2. The Basic Disclosure Problem
- 13.3. The Concept of Uniqueness
- 13.4. Disclosure Scenarios
- 13.5. Models for the Disclosure Risk
- 13.6. Practical Disclosure Protection
- Exercises
- References
- Index
