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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  
LONDON, : ROUTLEDGE, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui