Big data meets survey science : a collection of innovative methods / / edited by Craig A. Hill [and six others] |
Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , ℗2021 |
Descrizione fisica | 1 online resource (787 pages) |
Disciplina | 005.7 |
Soggetto topico | Big data |
ISBN |
1-118-97634-7
1-118-97633-9 1-118-97635-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910555145503321 |
Hoboken, NJ : , : Wiley, , ℗2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
Survey measurement and process quality [[electronic resource] /] / edited by Lars Lyberg ... [et al.] |
Pubbl/distr/stampa | New York, : Wiley, c1997 |
Descrizione fisica | 1 online resource (807 p.) |
Disciplina |
300.723
300/.723 |
Altri autori (Persone) | LybergLars |
Collana |
Wiley Series in Probability and Statistics
Wiley series in probability and statistics. |
Soggetto topico |
Social sciences - Statistical methods
Surveys - Methodology Social sciences - Research - Evaluation Surveys - Evaluation |
Soggetto genere / forma | Electronic books. |
ISBN |
1-283-59278-9
9786613905239 1-118-49001-0 1-118-49002-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Survey Measurement and Process Quality; Contents; Contributors; Preface; INTRODUCTION; Measurement Error in Surveys: A Historical Perspective; SECTION A. QUESTIONNAIRE DESIGN; 1. Questionnaire Design: The Rocky Road from Concepts to Answers; 2. From Theoretical Concept to Survey Question; 3. Why Are There so Few Formal Measuring Instruments in Social and Political Research?; 4. Social Cognition and Responses to Survey Questions Among Culturally Diverse Populations; 5. Reducing Question Order Effects: The Operation of Buffer Items
6. Designing Rating Scales for Effective Measurement in Surveys7. Towards a Theory of Self-Administered Questionnaire Design; SECTION B. DATA COLLECTION; 8. Data Collection Methods and Survey Quality: An Overview; 9. The Effect of New Data Collection Technologies on Survey Data Quality; 10. Developing a Speech Recognition Application for Survey Research; 11. Evalauting Interviewer Use of CAPI Technology; 12. The Effect of Interviewer and Respondent Behavior on Data Quality: Analysis of Interaction Coding in a Validation Study 13. Effects of Interview Mode on Sensitive Questions in a Fertility Survey14. Children as Respondents: Methods for Improving Data Quality; SECTION C. POST SURVEY PROCESSING AND OPERATIONS; 15. Some Aspects of Post-Survey Processing; 16. Integrated Control Systems for Survey Processing; 17. Using Expert Systems to Model and Improve Survey Classification Processes; 18. Editing of Survey Data: How Much Is Enough?; 19. The Quality of Occupational Coding in the United Kingdom; SECTION D. QUALITY ASSESSMENT AND CONTROL; 20. Survey Measurement and Process Improvement: Concepts and Integration 21. Continuous Quality Improvement in Statistical Agencies22. Quality Policies, Standards, Guidelines, and Recommended Practices at National Statistical Agencies; 23. Improving the Comparability of Estimates Across Business Surveys; 24. Evaluating Survey Data: Making the Transition from Pretesting to Quality Assessment; 25. CATI Site Management in a Survey of Service Quality; 26. Using Statistical Methods Applicable to Autocorrelated Processes to Analyze Survey Process Quality Data; SECTION E. ERROR EFFECTS ON ESTIMATION, ANALYSES, AND INTERPRETATION 27. A Review of Measurement Error Effects on the Analysis of Survey Data28. Categorical Data Analysis and Misclassification; 29. Separating Change and Measurement Error in Panel Surveys with an Application to Labor Market Data; 30. Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data; 31. Identifying and Adjusting for Recall Error with Application to Fertility Surveys; 32. Estimators of Nonsampling Errors in Interview-Reinterview Supervised Surveys with Interpenetrated Assignments 33. Variance Estimation Under Stratified Two-Phase Sampling with Applications to Measurement Bias |
Record Nr. | UNINA-9910141423503321 |
New York, : Wiley, c1997 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Survey measurement and process quality [[electronic resource] /] / edited by Lars Lyberg ... [et al.] |
Pubbl/distr/stampa | New York, : Wiley, c1997 |
Descrizione fisica | 1 online resource (807 p.) |
Disciplina |
300.723
300/.723 |
Altri autori (Persone) | LybergLars |
Collana |
Wiley Series in Probability and Statistics
Wiley series in probability and statistics. |
Soggetto topico |
Social sciences - Statistical methods
Surveys - Methodology Social sciences - Research - Evaluation Surveys - Evaluation |
ISBN |
1-283-59278-9
9786613905239 1-118-49001-0 1-118-49002-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Survey Measurement and Process Quality; Contents; Contributors; Preface; INTRODUCTION; Measurement Error in Surveys: A Historical Perspective; SECTION A. QUESTIONNAIRE DESIGN; 1. Questionnaire Design: The Rocky Road from Concepts to Answers; 2. From Theoretical Concept to Survey Question; 3. Why Are There so Few Formal Measuring Instruments in Social and Political Research?; 4. Social Cognition and Responses to Survey Questions Among Culturally Diverse Populations; 5. Reducing Question Order Effects: The Operation of Buffer Items
6. Designing Rating Scales for Effective Measurement in Surveys7. Towards a Theory of Self-Administered Questionnaire Design; SECTION B. DATA COLLECTION; 8. Data Collection Methods and Survey Quality: An Overview; 9. The Effect of New Data Collection Technologies on Survey Data Quality; 10. Developing a Speech Recognition Application for Survey Research; 11. Evalauting Interviewer Use of CAPI Technology; 12. The Effect of Interviewer and Respondent Behavior on Data Quality: Analysis of Interaction Coding in a Validation Study 13. Effects of Interview Mode on Sensitive Questions in a Fertility Survey14. Children as Respondents: Methods for Improving Data Quality; SECTION C. POST SURVEY PROCESSING AND OPERATIONS; 15. Some Aspects of Post-Survey Processing; 16. Integrated Control Systems for Survey Processing; 17. Using Expert Systems to Model and Improve Survey Classification Processes; 18. Editing of Survey Data: How Much Is Enough?; 19. The Quality of Occupational Coding in the United Kingdom; SECTION D. QUALITY ASSESSMENT AND CONTROL; 20. Survey Measurement and Process Improvement: Concepts and Integration 21. Continuous Quality Improvement in Statistical Agencies22. Quality Policies, Standards, Guidelines, and Recommended Practices at National Statistical Agencies; 23. Improving the Comparability of Estimates Across Business Surveys; 24. Evaluating Survey Data: Making the Transition from Pretesting to Quality Assessment; 25. CATI Site Management in a Survey of Service Quality; 26. Using Statistical Methods Applicable to Autocorrelated Processes to Analyze Survey Process Quality Data; SECTION E. ERROR EFFECTS ON ESTIMATION, ANALYSES, AND INTERPRETATION 27. A Review of Measurement Error Effects on the Analysis of Survey Data28. Categorical Data Analysis and Misclassification; 29. Separating Change and Measurement Error in Panel Surveys with an Application to Labor Market Data; 30. Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data; 31. Identifying and Adjusting for Recall Error with Application to Fertility Surveys; 32. Estimators of Nonsampling Errors in Interview-Reinterview Supervised Surveys with Interpenetrated Assignments 33. Variance Estimation Under Stratified Two-Phase Sampling with Applications to Measurement Bias |
Record Nr. | UNINA-9910830817303321 |
New York, : Wiley, c1997 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Survey measurement and process quality [[electronic resource] /] / edited by Lars Lyberg ... [et al.] |
Pubbl/distr/stampa | New York, : Wiley, c1997 |
Descrizione fisica | 1 online resource (807 p.) |
Disciplina |
300.723
300/.723 |
Altri autori (Persone) | LybergLars |
Collana |
Wiley Series in Probability and Statistics
Wiley series in probability and statistics. |
Soggetto topico |
Social sciences - Statistical methods
Surveys - Methodology Social sciences - Research - Evaluation Surveys - Evaluation |
ISBN |
1-283-59278-9
9786613905239 1-118-49001-0 1-118-49002-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Survey Measurement and Process Quality; Contents; Contributors; Preface; INTRODUCTION; Measurement Error in Surveys: A Historical Perspective; SECTION A. QUESTIONNAIRE DESIGN; 1. Questionnaire Design: The Rocky Road from Concepts to Answers; 2. From Theoretical Concept to Survey Question; 3. Why Are There so Few Formal Measuring Instruments in Social and Political Research?; 4. Social Cognition and Responses to Survey Questions Among Culturally Diverse Populations; 5. Reducing Question Order Effects: The Operation of Buffer Items
6. Designing Rating Scales for Effective Measurement in Surveys7. Towards a Theory of Self-Administered Questionnaire Design; SECTION B. DATA COLLECTION; 8. Data Collection Methods and Survey Quality: An Overview; 9. The Effect of New Data Collection Technologies on Survey Data Quality; 10. Developing a Speech Recognition Application for Survey Research; 11. Evalauting Interviewer Use of CAPI Technology; 12. The Effect of Interviewer and Respondent Behavior on Data Quality: Analysis of Interaction Coding in a Validation Study 13. Effects of Interview Mode on Sensitive Questions in a Fertility Survey14. Children as Respondents: Methods for Improving Data Quality; SECTION C. POST SURVEY PROCESSING AND OPERATIONS; 15. Some Aspects of Post-Survey Processing; 16. Integrated Control Systems for Survey Processing; 17. Using Expert Systems to Model and Improve Survey Classification Processes; 18. Editing of Survey Data: How Much Is Enough?; 19. The Quality of Occupational Coding in the United Kingdom; SECTION D. QUALITY ASSESSMENT AND CONTROL; 20. Survey Measurement and Process Improvement: Concepts and Integration 21. Continuous Quality Improvement in Statistical Agencies22. Quality Policies, Standards, Guidelines, and Recommended Practices at National Statistical Agencies; 23. Improving the Comparability of Estimates Across Business Surveys; 24. Evaluating Survey Data: Making the Transition from Pretesting to Quality Assessment; 25. CATI Site Management in a Survey of Service Quality; 26. Using Statistical Methods Applicable to Autocorrelated Processes to Analyze Survey Process Quality Data; SECTION E. ERROR EFFECTS ON ESTIMATION, ANALYSES, AND INTERPRETATION 27. A Review of Measurement Error Effects on the Analysis of Survey Data28. Categorical Data Analysis and Misclassification; 29. Separating Change and Measurement Error in Panel Surveys with an Application to Labor Market Data; 30. Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data; 31. Identifying and Adjusting for Recall Error with Application to Fertility Surveys; 32. Estimators of Nonsampling Errors in Interview-Reinterview Supervised Surveys with Interpenetrated Assignments 33. Variance Estimation Under Stratified Two-Phase Sampling with Applications to Measurement Bias |
Record Nr. | UNINA-9910841334003321 |
New York, : Wiley, c1997 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|