InhaltsangabePREFACE TO THE FIRST EDITION. PREFACE TO THE SECOND EDITION. ACKNOWLEDGEMENTS. CHAPTER 1. AN INTRODUCTION TO SURVEY METHODOLOGY. 1.1 Introduction. 1.2 A Brief History of Survey Research. 1.3 Some Examples of Ongoing Surveys. 1.4 What is Survey Methodology? 1.5 The Challenge of Survey Methodology. 1.6 About this Book. Keywords. For More InDepth Reading. Exercises. CHAPTER 2. INFERENCE AND ERROR IN SURVEYS. 2.1 Introduction. 2.2 The Lifecycle of a Survey From a Design Perspective. 2.3 The Lifecycle of a Survey from A Quality Perspective. 2.4 Putting It All Together. 2.5 Error Notions in Different Kinds of Statistics. 2.6 Nonstatistical Notions of Survey Quality. 2.7 Summary. Keywords. For More InDepth Reading. Exercises. CHAPTER 3. TARGET POPULATIONS, SAMPLING FRAMES, AND COVERAGE ERROR. 3.1 Introduction. 3.2 Populations and Frames. 3.3 Coverage Properties of Sampling Frames. 3.4 Alternative Frames for the Target Population of Households or Persons. 3.5 Frame Issues for Other Common Target Populations. 3.6 Coverage Error. 3.7 Reducing Undercoverage. 3.8 Summary. Keywords. For More InDepth Reading. Exercises. CHAPTER 4. SAMPLE DESIGN AND SAMPLING ERROR. 4.1 Introduction. 4.2 Samples and Estimates. 4.3 Simple Random Sampling. 4.4 Cluster Sampling. 4.5 Stratification and Stratified Sampling. 4.6 Systematic Selection. 4.7 Complications in Practice. 4.8 Sampling US Telephone Households. 4.9 Selecting Persons Within Households. 4.10 Summary. Keywords. For More InDepth Reading. Exercises. CHAPTER 5. METHODS OF DATA COLLECTION. 5.1 Alternative Methods of Data Collection. 5.2 Choosing the Appropriate Method. 5.3 Effects of Different Data Collection Methods on Survey Errors. 5.4 Using Multiple Modes of Data Collection. 5.5 Summary. Keywords. For More InDepth Reading. Exercises. CHAPTER 6. NONRESPONSE IN SAMPLE SURVEYS. 6.1 Introduction. 6.2 Response Rates. 6.3 Impact of Nonresponse on the Quality of Survey Estimates. 6.4 Thinking Causally About Survey Nonresponse Error. 6.5 Dissecting the Nonresponse Phenomenon. 6.6 Design Features to Reduce Unit Nonresponse. 6.7 Item Nonresponse. 6.8 Are Nonresponse Propensities Related to Other Error Sources? 6.9 Summary. Keywords. For More InDepth Reading. Exercises. CHAPTER 7. QUESTIONS AND ANSWERS IN SURVEYS. 7.1 Alternatives Methods of Survey Measurement. 7.2 Cognitive Processes in Answering Questions. 7.3 Problems in Answering Survey Questions. 7.4 Guidelines for Writing Good Questions. 7.5 Summary. Keywords. For More InDepth Reading. Exercises. CHAPTER 8. EVALUATING SURVEY QUESTIONS. 8.1 Introduction. 8.2 Expert Reviews. 8.3 Focus Groups. 8.4 Cognitive Interviews. 8.5 Field Pretests and Behavior Coding. 8.6 Randomized or Split-Ballot Experiments. 8.7 Applying Question Standards. 8.8 Summary of Question Evaluation Tools. 8.9 Linking Concepts of Measurement Quality to Statistical Estimates. 8.10 Summary. Keywords. For More InDepth Reading. Exercises. CHAPTER 9. SURVEY INTERVIEWING. 9.1 The Role of the Interviewer. 9.2 Interviewer Bias. 9.3 Interviewer Variance. 9.4 Strategies for Reducing Interviewer Bias. 9.5 Strategies for Reducing Interviewer-Related Variance. 9.6 The Controversy About Standardized Interviewing. 9.7 Interviewer Management. 9.8 Validating the Work of Interviewers. 9.9 The Use of Recorded Voices (and Faces) in Data Collection. 9.10 Summary. Keywords. For More InDepth Reading. Exercises. CHAPTER 10. POSTCOLLECTION PROCESSING OF SURVEY DATA. 10.1 Introduction. 10.2 Coding. 10.3 Entering Numeric Data into Files. 10.4 Editing. 10.5 Weighting. 10.6 Imputation for Item-missing data. 10.7 Sampling Variance Estimation for Complex Samples.

ROBERT M. GROVES, PhD, is Professor and Director of the University of Michigan Survey Research Center and Research Professor at the Joint Program in Survey Methodology at the University of Maryland. FLOYD J. FOWLER, PhD, is Senior Research Fellow in the Center for Survey Research at the University of Massachusetts Boston. MICK P. COUPER, PhD, is Research Professor at both the University of Michigan Survey Research Center and the Joint Program in Survey Methodology at the University of Maryland. JAMES M. LEPKOWSKI, PhD, is Research Professor at the University of Michigan Survey Research Center, where he is also Associate Professor in the Department of Biostatistics and Director of the Joint Program in Survey Methodology. ELEANOR SINGER, PhD, is Research Professor Emerita at the University of Michigan Survey Research Center. ROGER TOURANGEAU, PhD, is Research Professor at both the University of Michigan Survey Research Center and the Joint Program in Survey Methodology at the University of Maryland.

Leseprobe

Preface to the First Edition. Preface to the Second Edition. Acknowledgements. Chapter 1: An Introduction to Survey Methodology. 1.1 Introduction. 1.2 A Brief History of Survey Research. 1.3 Some Examples of Ongoing Surveys. 1.4 What is Survey Methodology? 1.5 The Challenge of Survey Methodology. 1.6 About this Book. Keywords. For More In-Depth Reading. Exercises. Chapter 2: Inference and Error in Surveys. 2.1 Introduction. 2.2 The Lifecycle of a Survey From a Design Perspective. 2.3 The Lifecycle of a Survey from A Quality Perspective. 2.4 Putting It All Together. 2.5 Error Notions in Different Kinds of Statistics. 2.6 Nonstatistical Notions of Survey Quality. 2.7 Summary. Keywords. For More In-Depth Reading. Exercises. Chapter 3: Target Populations, Sampling Frames, and Coverage Error. 3.1 Introduction. 3.2 Populations and Frames. 3.3 Coverage Properties of Sampling Frames. 3.4 Alternative Frames for the Target Population of Households or Persons. 3.5 Frame Issues for Other Common Target Populations. 3.6 Coverage Error. 3.7 Reducing Undercoverage. 3.8 Summary. Keywords. For More In-Depth Reading. Exercises. Chapter 4: Sample Design and Sampling Error. 4.1 Introduction. 4.2 Samples and Estimates. 4.3 Simple Random Sampling. 4.4 Cluster Sampling. 4.5 Stratification and Stratified Sampling. 4.6 Systematic Selection. 4.7 Complications in Practice. 4.8 Sampling US Telephone Households. 4.9 Selecting Persons Within Households. 4.10Summary. Keywords. For More In-Depth Reading. Exercises. Chapter 5: Methods of Data Collection. 5.1 Alternative Methods of Data Collection. 5.2 Choosing the Appropriate Method. 5.3 Effects of Different Data Collection Methods on Survey Errors. 5.4 Using Multiple Modes of Data Collection. 5.5 Summary. Keywords. For More In-Depth Reading. Exercises. Chapter 6: Nonresponse in Sample Surveys. 6.1 Introduction. 6.2 Response Rates. 6.3 Impact of Nonresponse on the Quality of Survey Estimates. 6.4 Thinking Causally About Survey Nonresponse Error. 6.5 Dissecting the Nonresponse Phenomenon. 6.6 Design Features to Reduce Unit Nonresponse. 6.7 Item Nonresponse. 6.8 Are Nonresponse Propensities Related to Other Error Sources? 6.9 Summary. Keywords. For More In-Depth Reading. Exercises. Chapter 7: Questions and Answers in Surveys. 7.1 Alternatives Methods of Survey Measurement. 7.2 Cognitive Processes in Answering Questions. 7.3 Problems in Answering Survey Questions. 7.4 Guidelines for Writing Good Questions. 7.5 Summary. Keywords. For More In-Depth Reading. Exercises. Chapter 8: Evaluating Survey Questions. 8.1 Introduction. 8.2 Expert Reviews. 8.3 Focus Groups. 8.4 Cognitive Interviews. 8.5 Field Pretests and Behavior Coding. 8.6 Randomized or Split-Ballot Experiments. 8.7 Applying Question Standards. 8.8 Summary of Question Evaluation Tools. 8.9 Linking Concepts of Measurement Quality to Statistical Estimates. 8.10 Summary. Keywords. For More In-Depth Reading. Exercises. Chapter 9: Survey Interviewing. 9.1 The Role of the Interviewer. 9.2 Interviewer Bias. 9.3 Interviewer Variance. 9.4 Strategies for Reducing Interviewer Bias. 9.5 Strategies for Reducing Interviewer-Related Variance. 9.6 The Controversy About Standardized Interviewing. 9.7 Interviewer Management. 9.8 Validating the Work o ...

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