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Measurement errors in surveys [[electronic resource] /] / edited by Paul P. Biemer ... [et al.]
| Measurement errors in surveys [[electronic resource] /] / edited by Paul P. Biemer ... [et al.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2004 |
| Descrizione fisica | 1 online resource (804 p.) |
| Disciplina | 511.43 |
| Altri autori (Persone) | BiemerPaul P |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Error analysis (Mathematics)
Surveys Anàlisi d'error (Matemàtica) Enquestes |
| Soggetto genere / forma |
Electronic books.
Llibres electrònics |
| ISBN |
1-283-33235-3
9786613332356 1-118-15038-4 1-118-15037-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | section A. The questionnaire -- section B. Respondents and responses -- section C. Interviewers and other means of data collection -- section D. Measurement errors in the interview process -- section E. Modeling measurement errors and their effects on estimation and data analysis. |
| Record Nr. | UNINA-9910139565703321 |
| Hoboken, N.J., : Wiley-Interscience, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Measurement errors in surveys [[electronic resource] /] / edited by Paul P. Biemer ... [et al.]
| Measurement errors in surveys [[electronic resource] /] / edited by Paul P. Biemer ... [et al.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2004 |
| Descrizione fisica | 1 online resource (804 p.) |
| Disciplina | 511.43 |
| Altri autori (Persone) | BiemerPaul P |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Error analysis (Mathematics)
Surveys Anàlisi d'error (Matemàtica) Enquestes |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
1-283-33235-3
9786613332356 1-118-15038-4 1-118-15037-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | section A. The questionnaire -- section B. Respondents and responses -- section C. Interviewers and other means of data collection -- section D. Measurement errors in the interview process -- section E. Modeling measurement errors and their effects on estimation and data analysis. |
| Record Nr. | UNINA-9910830517803321 |
| Hoboken, N.J., : Wiley-Interscience, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Measurement errors in surveys [[electronic resource] /] / edited by Paul P. Biemer ... [et al.]
| Measurement errors in surveys [[electronic resource] /] / edited by Paul P. Biemer ... [et al.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2004 |
| Descrizione fisica | 1 online resource (804 p.) |
| Disciplina | 511.43 |
| Altri autori (Persone) | BiemerPaul P |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Error analysis (Mathematics)
Surveys Anàlisi d'error (Matemàtica) Enquestes |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
1-283-33235-3
9786613332356 1-118-15038-4 1-118-15037-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | section A. The questionnaire -- section B. Respondents and responses -- section C. Interviewers and other means of data collection -- section D. Measurement errors in the interview process -- section E. Modeling measurement errors and their effects on estimation and data analysis. |
| Record Nr. | UNINA-9910840941003321 |
| Hoboken, N.J., : Wiley-Interscience, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern analysis of customer surveys [[electronic resource] ] : with applications using R / / edited by Ron S. Kenett, Silvia Salini
| Modern analysis of customer surveys [[electronic resource] ] : with applications using R / / edited by Ron S. Kenett, Silvia Salini |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Chichester, : John Wiley & Sons, 2011 |
| Descrizione fisica | 1 online resource (526 p.) |
| Disciplina | 658.8/3402855282 |
| Altri autori (Persone) |
KenettRon
SaliniSilvia |
| Collana | Statistics in Practice |
| Soggetto topico |
Consumer satisfaction - Research - Statistical methods
Consumer satisfaction - Evaluation Consumers - Research - Statistical methods Consumers - Research - Data processing Sampling (Statistics) - Evaluation Surveys - Statistical methods Surveys - Data processing R (Computer program language) Consumidors - Satisfacció - Estadístiques Consumidors - Estadístiques Mostreig (Estadística) Enquestes |
| ISBN |
1-119-96138-6
1-283-33312-0 9786613333124 1-119-96115-7 1-119-96116-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Analysis ofCustomer Surveys; Contents; Foreword; Preface; Contributors; PART I BASIC ASPECTS OF CUSTOMER SATISFACTION SURVEY DATA ANALYSIS; 1 Standards and classical techniques in data analysis of customer satisfaction surveys; 1.1 Literature on customer satisfaction surveys; 1.2 Customer satisfaction surveys and the business cycle; 1.3 Standards used in the analysis of survey data; 1.4 Measures and models of customer satisfaction; 1.4.1 The conceptual construct; 1.4.2 The measurement process; 1.5 Organization of the book; 1.6 Summary; References
2 The ABC annual customer satisfaction survey2.1 The ABC company; 2.2 ABC 2010 ACSS: Demographics of respondents; 2.3 ABC 2010 ACSS: Overall satisfaction; 2.4 ABC 2010 ACSS: Analysis of topics; 2.5 ABC 2010 ACSS: Strengths and weaknesses and decision drivers; 2.6 Summary; References; Appendix; 3 Census and sample surveys; 3.1 Introduction; 3.2 Types of surveys; 3.2.1 Census and sample surveys; 3.2.2 Sampling design; 3.2.3 Managing a survey; 3.2.4 Frequency of surveys; 3.3 Non-sampling errors; 3.3.1 Measurement error; 3.3.2 Coverage error; 3.3.3 Unit non-response and non-self-selection errors 3.3.4 Item non-response and non-self-selection error3.4 Data collection methods; 3.5 Methods to correct non-sampling errors; 3.5.1 Methods to correct unit non-response errors; 3.5.2 Methods to correct item non-response; 3.6 Summary; References; 4 Measurement scales; 4.1 Scale construction; 4.1.1 Nominal scale; 4.1.2 Ordinal scale; 4.1.3 Interval scale; 4.1.4 Ratio scale; 4.2 Scale transformations; 4.2.1 Scale transformations referred to single items; 4.2.2 Scale transformations to obtain scores on a unique interval scale; Acknowledgements; References; 5 Integrated analysis; 5.1 Introduction 5.2 Information sources and related problems5.2.1 Types of data sources; 5.2.2 Advantages of using secondary source data; 5.2.3 Problems with secondary source data; 5.2.4 Internal sources of secondary information; 5.3 Root cause analysis; 5.3.1 General concepts; 5.3.2 Methods and tools in RCA; 5.3.3 Root cause analysis and customer satisfaction; 5.4 Summary; Acknowledgement; References; 6 Web surveys; 6.1 Introduction; 6.2 Main types of web surveys; 6.3 Economic benefits of web survey research; 6.3.1 Fixed and variable costs; 6.4 Non-economic benefits of web survey research 6.5 Main drawbacks of web survey research6.6 Web surveys for customer and employee satisfaction projects; 6.7 Summary; References; 7 The concept and assessment of customer satisfaction; 7.1 Introduction; 7.2 The quality-satisfaction-loyalty chain; 7.2.1 Rationale; 7.2.2 Definitions of customer satisfaction; 7.2.3 From general conceptions to a measurement model of customer satisfaction; 7.2.4 Going beyond SERVQUAL: Other dimensions of relevance to the B2B context; 7.2.5 From customer satisfaction to customer loyalty; 7.3 Customer satisfaction assessment: Some methodological considerations 7.3.1 Rationale |
| Record Nr. | UNINA-9910139552103321 |
| Chichester, : John Wiley & Sons, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Value sets for EQ-5D-5L : a compendium, comparative review & user guide / / N. J. Devlin, Bram Roudijk, Kristina Ludwig, editors
| Value sets for EQ-5D-5L : a compendium, comparative review & user guide / / N. J. Devlin, Bram Roudijk, Kristina Ludwig, editors |
| Autore | Devlin Nancy |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (290 pages) |
| Altri autori (Persone) |
RoudijkBram
LudwigKristina |
| Soggetto topico |
Data sets
Medical economics Quality of life - Research Questionnaires - Data processing Social issues & processes Health economics Qualitat de vida Enquestes Conjunts de dades |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
EQ-5D-5L
Value Set Methodology Compendium of Value Sets Valuation Protocol Valuation |
| ISBN | 3-030-89289-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword by Michael Drummond -- Foreword by Kim Rand -- Preface -- Acknowledgements -- Contents -- About the Editors -- Contributors -- Chapter 1: The Development of the EQ-5D-5L and its Value Sets -- 1.1 The EQ-5D as an Instrument for Measuring and Valuing Health -- 1.2 The Development of the EQ-5D-5L -- 1.3 The need for EQ-5D-5L Values -- 1.4 The Aims of this Book -- References -- Chapter 2: The Development and Strengthening of Methods for Valuing EQ-5D-5L - An Overview -- 2.1 Development of the EQ-VT Protocol -- 2.2 Description of the EQ-VT Protocol -- 2.2.1 Contents of the Protocol -- 2.2.2 Why the cTTO Task was Adopted -- 2.2.3 Why the DCE Task was Adopted -- 2.2.4 Value Set Generation -- 2.3 How the EQ-VT Protocol Updates Evolved -- 2.4 Lessons Learned -- 2.5 Concluding Remarks -- References -- Chapter 3: Experimental Design for the Valuation of the EQ-5D-5L -- 3.1 Introduction -- 3.2 EQ-VT Designs -- 3.2.1 cTTO Design -- 3.2.2 DCE Design -- 3.2.3 Other Considerations -- 3.3 Alternative cTTO Designs -- 3.4 Future Research -- Appendices -- Appendix A: Construction for Level Balance Optimisation Criterion -- Appendix B: The cTTO design of the EQ-VT -- Appendix C: The DCE design of the EQ-VT -- Appendix D: The Design Used in the Peruvian EQ-5D-5L Valuation Study -- References -- Chapter 4: EQ-5D-5L Value Set Summaries -- 4.1 Introduction -- 4.2 Methods -- 4.3 Country-by-Country Overview of Value Sets -- 4.3.1 Wave 1 -- 4.3.1.1 Country/Region: Canada (Table 4.1) -- 4.3.1.2 Country/Region: China (Table 4.5) -- 4.3.1.3 Country/Region: England (Table 4.9) -- 4.3.1.4 Country/Region: Netherlands (Table 4.13) -- 4.3.1.5 Country/Region: Spain (Table 4.17) -- 4.3.2 Wave 2 -- 4.3.2.1 Country/Region: Japan (Table 4.21) -- 4.3.2.2 Country/Region: Korea (Table 4.25) -- 4.3.2.3 Country/Region: Thailand (Table 4.29).
4.3.2.4 Country/Region: Uruguay (Table 4.33) -- 4.3.2.5 Country/Region: Hong Kong (Table 4.37) -- 4.3.3 Wave 3 -- 4.3.3.1 Country/Region: France (Table 4.41) -- 4.3.3.2 Country/Region: Germany (Table 4.45) -- 4.3.3.3 Country/Region: Indonesia (Table 4.49) -- 4.3.3.4 Country/Region: Ireland (Table 4.53) -- 4.3.3.5 Country/Region: Malaysia (Table 4.57) -- 4.3.3.6 Country/Region: Poland (Table 4.61) -- 4.3.3.7 Country/Region: Portugal (Table 4.65) -- 4.3.3.8 Country/Region: Taiwan (Table 4.69) -- 4.3.3.9 Country/Region: Denmark (Table 4.73) -- 4.3.3.10 Country/Region: Ethiopia (Table 4.77) -- 4.3.3.11 Country/Region: Hungary (Table 4.81) -- 4.3.3.12 Country/Region: Mexico (Table 4.85) -- 4.3.3.13 Country/Region: Peru (Table 4.89) -- 4.3.3.14 Country/Region: United States (Table 4.93) -- 4.3.3.15 Country/Region: Vietnam (Table 4.97) -- Chapter 5: Guidance to Users of EQ-5D-5L Value Sets -- 5.1 Introduction -- 5.2 Which Value Set Should Be Used to Estimate QALYs? - An Overview -- 5.2.1 End Users' Requirements and Recommendations -- 5.2.2 Relevance to the Population to Whom the Analysis Refers -- 5.2.3 Empirical Characteristics of the Value Sets -- 5.2.4 Transparency and Uncertainty -- 5.3 Which Value Set to Use in 'Non-QALY' Applications - An Overview -- 5.4 Choosing Value Sets - Some Further Considerations -- 5.4.1 Relevance to the Decision-Making Context -- 5.4.2 The Theoretical Properties of Values and Value Sets -- 5.5 Concluding Remarks -- References -- Chapter 6: How Do EQ-5D-5L Value Sets Differ? -- 6.1 Introduction -- 6.2 Methods -- 6.2.1 Analysing Differences Between Value Sets -- 6.2.2 Defining Preference Patterns and the Performance of These Patterns -- 6.3 Differences Between Value Sets -- 6.3.1 Relative Importance of the Dimensions -- 6.3.2 Marginal Value Decrements of Moving from One Level to Another. 6.3.3 Scale Length and Location of the Descriptive Midpoint on the Health Utility Scale -- 6.4 Identifying Preference Patterns -- 6.5 How Do These Preference Patterns Perform? -- 6.6 Discussion -- 6.6.1 Main Findings -- 6.6.2 Preference Patterns -- 6.6.3 Data Quality and Modelling Strategies -- 6.6.4 Differences Between Value Sets Between and Within Preference Patterns -- 6.6.5 Limitations -- 6.7 Conclusions -- References -- Chapter 7: Where Next for EQ-5D-5L National Value Sets and the EQ-VT Protocol? -- 7.1 Introduction -- 7.2 Future Directions for Improvements in the EQ-VT - An Overview -- 7.2.1 What Methods to Use? -- 7.2.2 Procedural Aspects -- 7.2.3 Analysis and Modelling -- 7.3 Developing Alternative Approaches and Answering Different Questions -- 7.4 Making Scientific and Social Value Judgements About Value Sets -- 7.5 Adapting to Change -- 7.6 Concluding Remarks -- References -- Glossary of EQ-5D Terms -- References. |
| Record Nr. | UNINA-9910555235703321 |
Devlin Nancy
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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