PRACTICAL GUIDE TO THE CONDUCT OF FIELD RESEARCH IN THE SOCIAL SCIENCES
| PRACTICAL GUIDE TO THE CONDUCT OF FIELD RESEARCH IN THE SOCIAL SCIENCES |
| Autore | Feldman Elliot J |
| Pubbl/distr/stampa | LONDON, : ROUTLEDGE, 2019 |
| Descrizione fisica | 1 online resource (xviii, 122 pages) |
| Disciplina | 300/.723 |
| Soggetto topico | Social sciences - Fieldwork |
| ISBN |
0-429-72860-3
0-429-05228-6 0-429-70859-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910968321903321 |
Feldman Elliot J
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| LONDON, : ROUTLEDGE, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Survey measurement and process quality [[electronic resource] /] / edited by Lars Lyberg ... [et al.]
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Survey measurement and process quality [[electronic resource] /] / edited by Lars Lyberg ... [et al.]
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Survey measurement and process quality / / edited by Lars Lyberg ... [et al.]
| Survey measurement and process quality / / edited by Lars Lyberg ... [et al.] |
| Pubbl/distr/stampa | New York, : Wiley, c1997 |
| Descrizione fisica | 1 online resource (807 p.) |
| Disciplina | 300/.723 |
| Altri autori (Persone) | LybergLars |
| Collana | 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-9911020190403321 |
| New York, : Wiley, c1997 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||