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MARC Lista (tabellare)
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Autore Biemer Paul P
Pubbl/distr/stampa Hoboken, NJ., : Wiley, c2003
Descrizione fisica 1 online resource (420 p.)
Disciplina 001.4/33
001.433
519.5
Altri autori (Persone) LybergLars
Collana Wiley series in survey methodology
Soggetto topico Sampling (Statistics)
Surveys - Evaluation
Soggetto genere / forma Electronic books.
ISBN 1-280-36627-3
9786610366279
0-470-30177-5
0-471-45872-4
0-471-45874-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Survey Quality; Contents; Preface; 1. The Evolution of Survey Process Quality; 1.1. The Concept of a Survey; 1.2. Types of Surveys; 1.3. Brief History of Survey Methodology; 1.4. The Quality Revolution; 1.5. Definitions of Quality and Quality in Statistical Organizations; 1.6. Measuring Quality; 1.7. Improving Quality; 1.8. Quality in a Nutshell; 2. The Survey Process and Data Quality; 2.1. Overview of the Survey Process; 2.2. Data Quality and Total Survey Error; 2.3. Decomposing Nonsampling Error into Its Component Parts; 2.4. Gauging the Magnitude of Total Survey Error
2.5. Mean Squared Error2.6. Illustration of the Concepts; 3. Coverage and Nonresponse Error; 3.1. Coverage Error; 3.2. Measures of Coverage Bias; 3.3. Reducing Coverage Bias; 3.4. Unit Nonresponse Error; 3.5. Calculating Response Rates; 3.6. Reducing Nonresponse Bias; 4. The Measurement Process and Its Implications for Questionnaire Design; 4.1. Components of Measurement Error; 4.2. Errors Arising from the Questionnaire Design; 4.3. Understanding the Response Process; 5. Errors Due to Interviewers and Interviewing; 5.1. Role of the Interviewer; 5.2. Interviewer Variability
5.3. Design Factors that Influence Interviewer Effects5.4. Evaluation of Interviewer Performance; 6. Data Collection Modes and Associated Errors; 6.1. Modes of Data Collection; 6.2. Decision Regarding Mode; 6.3. Some Examples of Mode Effects; 7. Data Processing: Errors and Their Control; 7.1. Overview of Data Processing Steps; 7.2. Nature of Data Processing Error; 7.3. Data Capture Errors; 7.4. Post-Data Capture Editing; 7.5. Coding; 7.6. File Preparation; 7.7. Applications of Continuous Quality Improvement: The Case of Coding; 7.8. Integration Activities
8. Overview of Survey Error Evaluation Methods8.1. Purposes of Survey Error Evaluation; 8.2. Evaluation Methods for Designing and Pretesting Surveys; 8.3. Methods for Monitoring and Controlling Data Quality; 8.4. Postsurvey Evaluations; 8.5. Summary of Evaluation Methods; 9. Sampling Error; 9.1. Brief History of Sampling; 9.2. Nonrandom Sampling Methods; 9.3. Simple Random Sampling; 9.4. Statistical Inference in the Presence of Nonsampling Errors; 9.5. Other Methods of Random Sampling; 9.6. Concluding Remarks; 10. Practical Survey Design for Minimizing Total Survey Error
10.1. Balance Between Cost, Survey Error, and Other Quality Features10.2. Planning a Survey for Optimal Quality; 10.3. Documenting Survey Quality; 10.4. Organizational Issues Related to Survey Quality; References; Index
Record Nr. UNINA-9910143185303321
Biemer Paul P  
Hoboken, NJ., : Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Autore Biemer Paul P
Pubbl/distr/stampa Hoboken, NJ., : Wiley, c2003
Descrizione fisica 1 online resource (420 p.)
Disciplina 001.4/33
001.433
519.5
Altri autori (Persone) LybergLars
Collana Wiley series in survey methodology
Soggetto topico Sampling (Statistics)
Surveys - Evaluation
ISBN 1-280-36627-3
9786610366279
0-470-30177-5
0-471-45872-4
0-471-45874-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Survey Quality; Contents; Preface; 1. The Evolution of Survey Process Quality; 1.1. The Concept of a Survey; 1.2. Types of Surveys; 1.3. Brief History of Survey Methodology; 1.4. The Quality Revolution; 1.5. Definitions of Quality and Quality in Statistical Organizations; 1.6. Measuring Quality; 1.7. Improving Quality; 1.8. Quality in a Nutshell; 2. The Survey Process and Data Quality; 2.1. Overview of the Survey Process; 2.2. Data Quality and Total Survey Error; 2.3. Decomposing Nonsampling Error into Its Component Parts; 2.4. Gauging the Magnitude of Total Survey Error
2.5. Mean Squared Error2.6. Illustration of the Concepts; 3. Coverage and Nonresponse Error; 3.1. Coverage Error; 3.2. Measures of Coverage Bias; 3.3. Reducing Coverage Bias; 3.4. Unit Nonresponse Error; 3.5. Calculating Response Rates; 3.6. Reducing Nonresponse Bias; 4. The Measurement Process and Its Implications for Questionnaire Design; 4.1. Components of Measurement Error; 4.2. Errors Arising from the Questionnaire Design; 4.3. Understanding the Response Process; 5. Errors Due to Interviewers and Interviewing; 5.1. Role of the Interviewer; 5.2. Interviewer Variability
5.3. Design Factors that Influence Interviewer Effects5.4. Evaluation of Interviewer Performance; 6. Data Collection Modes and Associated Errors; 6.1. Modes of Data Collection; 6.2. Decision Regarding Mode; 6.3. Some Examples of Mode Effects; 7. Data Processing: Errors and Their Control; 7.1. Overview of Data Processing Steps; 7.2. Nature of Data Processing Error; 7.3. Data Capture Errors; 7.4. Post-Data Capture Editing; 7.5. Coding; 7.6. File Preparation; 7.7. Applications of Continuous Quality Improvement: The Case of Coding; 7.8. Integration Activities
8. Overview of Survey Error Evaluation Methods8.1. Purposes of Survey Error Evaluation; 8.2. Evaluation Methods for Designing and Pretesting Surveys; 8.3. Methods for Monitoring and Controlling Data Quality; 8.4. Postsurvey Evaluations; 8.5. Summary of Evaluation Methods; 9. Sampling Error; 9.1. Brief History of Sampling; 9.2. Nonrandom Sampling Methods; 9.3. Simple Random Sampling; 9.4. Statistical Inference in the Presence of Nonsampling Errors; 9.5. Other Methods of Random Sampling; 9.6. Concluding Remarks; 10. Practical Survey Design for Minimizing Total Survey Error
10.1. Balance Between Cost, Survey Error, and Other Quality Features10.2. Planning a Survey for Optimal Quality; 10.3. Documenting Survey Quality; 10.4. Organizational Issues Related to Survey Quality; References; Index
Record Nr. UNINA-9910830847003321
Biemer Paul P  
Hoboken, NJ., : Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Autore Biemer Paul P
Pubbl/distr/stampa Hoboken, NJ., : Wiley, c2003
Descrizione fisica 1 online resource (420 p.)
Disciplina 001.4/33
001.433
519.5
Altri autori (Persone) LybergLars
Collana Wiley series in survey methodology
Soggetto topico Sampling (Statistics)
Surveys - Evaluation
ISBN 1-280-36627-3
9786610366279
0-470-30177-5
0-471-45872-4
0-471-45874-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Survey Quality; Contents; Preface; 1. The Evolution of Survey Process Quality; 1.1. The Concept of a Survey; 1.2. Types of Surveys; 1.3. Brief History of Survey Methodology; 1.4. The Quality Revolution; 1.5. Definitions of Quality and Quality in Statistical Organizations; 1.6. Measuring Quality; 1.7. Improving Quality; 1.8. Quality in a Nutshell; 2. The Survey Process and Data Quality; 2.1. Overview of the Survey Process; 2.2. Data Quality and Total Survey Error; 2.3. Decomposing Nonsampling Error into Its Component Parts; 2.4. Gauging the Magnitude of Total Survey Error
2.5. Mean Squared Error2.6. Illustration of the Concepts; 3. Coverage and Nonresponse Error; 3.1. Coverage Error; 3.2. Measures of Coverage Bias; 3.3. Reducing Coverage Bias; 3.4. Unit Nonresponse Error; 3.5. Calculating Response Rates; 3.6. Reducing Nonresponse Bias; 4. The Measurement Process and Its Implications for Questionnaire Design; 4.1. Components of Measurement Error; 4.2. Errors Arising from the Questionnaire Design; 4.3. Understanding the Response Process; 5. Errors Due to Interviewers and Interviewing; 5.1. Role of the Interviewer; 5.2. Interviewer Variability
5.3. Design Factors that Influence Interviewer Effects5.4. Evaluation of Interviewer Performance; 6. Data Collection Modes and Associated Errors; 6.1. Modes of Data Collection; 6.2. Decision Regarding Mode; 6.3. Some Examples of Mode Effects; 7. Data Processing: Errors and Their Control; 7.1. Overview of Data Processing Steps; 7.2. Nature of Data Processing Error; 7.3. Data Capture Errors; 7.4. Post-Data Capture Editing; 7.5. Coding; 7.6. File Preparation; 7.7. Applications of Continuous Quality Improvement: The Case of Coding; 7.8. Integration Activities
8. Overview of Survey Error Evaluation Methods8.1. Purposes of Survey Error Evaluation; 8.2. Evaluation Methods for Designing and Pretesting Surveys; 8.3. Methods for Monitoring and Controlling Data Quality; 8.4. Postsurvey Evaluations; 8.5. Summary of Evaluation Methods; 9. Sampling Error; 9.1. Brief History of Sampling; 9.2. Nonrandom Sampling Methods; 9.3. Simple Random Sampling; 9.4. Statistical Inference in the Presence of Nonsampling Errors; 9.5. Other Methods of Random Sampling; 9.6. Concluding Remarks; 10. Practical Survey Design for Minimizing Total Survey Error
10.1. Balance Between Cost, Survey Error, and Other Quality Features10.2. Planning a Survey for Optimal Quality; 10.3. Documenting Survey Quality; 10.4. Organizational Issues Related to Survey Quality; References; Index
Record Nr. UNINA-9910841372803321
Biemer Paul P  
Hoboken, NJ., : Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Latent class analysis of survey error [[electronic resource] /] / Paul P. Biemer
Latent class analysis of survey error [[electronic resource] /] / Paul P. Biemer
Autore Biemer Paul P
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2011
Descrizione fisica 1 online resource (412 p.)
Disciplina 511/.43
519.535
Collana Wiley series in survey methodology
Soggetto topico Error analysis (Mathematics)
Sampling (Statistics)
Estimation theory
ISBN 1-118-09957-5
1-282-88443-3
9786612884436
0-470-89115-7
0-470-89114-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Latent Class Analysis of Survey Error; Contents; Preface; Abbreviations; CHAPTER 1: Survey Error Evaluation; CHAPTER 2: A General Model for Measurement Error; CHAPTER 3: Response Probability Models for Two Measurements; CHAPTER 4: Latent Class Models for Evaluating Classification Errors; CHAPTER 5: Further Aspects of Latent Class Modeling; CHAPTER 6: Latent Class Models for Special Applications; CHAPTER 7: Latent Class Models for Panel Data; CHAPTER 8: Survey Error Evaluation: Past, Present, and Future; APPENDIX A: Two-Stage Sampling Formulas; APPENDIX B: Loglinear Modeling Essentials
ReferencesIndex
Record Nr. UNINA-9910140870803321
Biemer Paul P  
Hoboken, N.J., : Wiley, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Latent class analysis of survey error [[electronic resource] /] / Paul P. Biemer
Latent class analysis of survey error [[electronic resource] /] / Paul P. Biemer
Autore Biemer Paul P
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2011
Descrizione fisica 1 online resource (412 p.)
Disciplina 511/.43
519.535
Collana Wiley series in survey methodology
Soggetto topico Error analysis (Mathematics)
Sampling (Statistics)
Estimation theory
ISBN 1-118-09957-5
1-282-88443-3
9786612884436
0-470-89115-7
0-470-89114-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Latent Class Analysis of Survey Error; Contents; Preface; Abbreviations; CHAPTER 1: Survey Error Evaluation; CHAPTER 2: A General Model for Measurement Error; CHAPTER 3: Response Probability Models for Two Measurements; CHAPTER 4: Latent Class Models for Evaluating Classification Errors; CHAPTER 5: Further Aspects of Latent Class Modeling; CHAPTER 6: Latent Class Models for Special Applications; CHAPTER 7: Latent Class Models for Panel Data; CHAPTER 8: Survey Error Evaluation: Past, Present, and Future; APPENDIX A: Two-Stage Sampling Formulas; APPENDIX B: Loglinear Modeling Essentials
ReferencesIndex
Record Nr. UNINA-9910827493303321
Biemer Paul P  
Hoboken, N.J., : Wiley, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui