Kooperativer Bibliotheksverbund

UID:

Format: XXXIII, 760 S.

ISBN: 0-471-53405-6

Series Statement: Wiley series in probability and mathematical statistics / Applied probability and statistics

Language: English

Subjects: Economics , Mathematics

Keywords: Empirische Forschung ; Fehleranalyse ; Datenerfassung ; Empirische Sozialforschung ; Fehleranalyse ; Messfehler ; Datenerhebung ; Datenerfassung ; Datenerhebung ; Parameterschätzung ; Messfehler ; Aufsatzsammlung ; Konferenzschrift ; Aufsatzsammlung ; Konferenzschrift ; Aufsatzsammlung ; Konferenzschrift

URL: Contributor biographical information

URL: Publisher description

URL: Table of Contents

URL: Contributor biographical information

URL: Publisher description

URL: Table of Contents

URL: Contributor biographical information

URL: Publisher description

URL: Table of Contents

UID:

Format: XXXIII, 760 S. , graph. Darst.

ISBN: 0471534056

Series Statement: Wiley series in probability and mathematical statistics

Note: Literaturverz. S. [687] - 733

Language: English

Subjects: Economics , Psychology , Mathematics , Sociology

Keywords: Empirische Forschung ; Fehleranalyse ; Datenerhebung ; Datenerfassung ; Datenerhebung ; Parameterschätzung ; Messfehler ; Aufsatzsammlung ; Konferenzschrift ; Konferenzschrift

URL: Inhaltsverzeichnis

URL: Inhaltsverzeichnis

URL: http://www.loc.gov/catdir/bios/wiley041/91020598.html

UID:

Format: 1 online resource (xiv, 402 pages) : , illustrations

ISBN: 0471458724 , 9780471458722 , 0471458740 , 9780471458746

Content: Introduction to Survey Quality summarizes the history of survey research and outlines the essential concepts for data quality. With an emphasis on total survey error, authors Paul Biemer and Lars Lyberg review well-established, as well as recently developed principles and concepts in the field, and examine important issues that are still unresolved and being actively pursued in the current survey methods literature.

Note: Introduction to Survey Quality; Contents; Preface; 1. The Evolution of Survey Process Quality; 2. The Survey Process and Data Quality; 3. Coverage and Nonresponse Error; 4. The Measurement Process and Its Implications for Questionnaire Design; 5. Errors Due to Interviewers and Interviewing; 6. Data Collection Modes and Associated Errors; 7. Data Processing: Errors and Their Control; 8. Overview of Survey Error Evaluation Methods; 9. Sampling Error; 10. Practical Survey Design for Minimizing Total Survey Error; References; Index.

Additional Edition: Print version: Biemer, Paul P. Introduction to survey quality. Hoboken, N.J. : Wiley, ©2003 ISBN 0471193755

Language: English

Subjects: Sociology

Keywords: Electronic books. ; Electronic books. ; Electronic books.

DOI: 10.1002/0471458740

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/0471458740

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/0471458740

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/0471458740

UID:

Format: 1 online resource

ISBN: 9781118976340 , 1118976347 , 9781118976333 , 1118976339 , 9781118976357 , 1118976355

Content: "Written and painstakingly edited by leading experts in their respective fields, this volume offers a state-of-the-art overview of Big Data issues, concerns, and responses in survey methodology. Like several other books in the Wiley Series in Survey Methodology, this work has been prepared in conjunction with an international conference on the topic by the Survey Research Methods Section of the American Statistical Association. The conference and book constitute part of an ongoing effort by a group of international researchers to promote quality in Big Data and to raise the level of methodological expertise in various applied fields. The basic content, in light of emerging techniques and technologies, includes in-depth coverage of topics such as combining Big Data with traditional data sources; multiplicity; data sparseness; data streams; using Big Data for reducing, controlling, and evaluating total survey error; handling confidentiality and privacy; and ethical concerns and the concept of harm; among a host of others. The editors and contributors are eminent, varied, and reflective of the international marketplace. Copious tables, figures, and references, as well as an extensive glossary, supplement the high quality discussion throughout the text"--

Note: Includes index.

Additional Edition: Print version: Big data meets survey science Hoboken, NJ : John Wiley & Sons, Inc., 2020. ISBN 9781118976326

Language: English

Keywords: Electronic books. ; Electronic books. ; Electronic books.

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118976357

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118976357

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118976357

UID:

Format: XIX, 387 S. : , graph. Darst.

ISBN: 0-470-28907-4 , 978-0-470-28907-5 , 978-0-470-89115-5

Series Statement: Wiley series in survey methodology

Content: "This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys. The book focuses on models that are appropriate for categorical data, although there are references to the differences and special problems that arise in the analysis and modeling of error for continuous data. Though the primary modeling method that is described is latent class analysis (LCA), a wide range of related models and applications are also discussed"--

Note: Literaturverz. S. 353 - 368

Additional Edition: Erscheint auch als Online-Ausgabe, PDF ISBN 978-0-470-89114-8

Language: English

Subjects: Economics , Sociology

Keywords: Umfrage ; Stichprobe ; Fehlerabschätzung ; Fehleranalyse

URL: Inhaltsverzeichnis  (kostenfrei)

URL: Inhaltsverzeichnis  (kostenfrei)

UID:

Format: 1 online resource (xxxiii, 760 pages) : , illustrations

ISBN: 9781118150382 , 1118150384 , 9781118150375 , 1118150376 , 9780471692805 , 0471692808 , 9780471534051 , 0471534056

Note: Front Matter -- Measurement Error Across Disciplines / Robert M Groves -- The Questionnaire. The Current Status of Questionnaire Research / Norman M Bradburn, Seymour Sudman -- Response Alternatives: The Impact of Their Choice and Presentation Order / Norbert Schwarz, Hans-Jurgen Hippler -- Context Effects in the General Social Survey / Tom W Smith -- Mode Effects of Cognitively Designed Recall Questions: A Comparison of Answers to Telephone and Mail Surveys / Don A Dillman, John Tarnai -- Nonexperimental Research on Question Wording Effects: A Contribution to Solving the Generalizability Problem / Nico Molenaar -- Measurement Errors in Business Surveys / Solomon Dutka, Lester R Frankel -- Respondents and Responses. Recall Error: Sources and Bias Reduction Techniques / Donna Eisenhower, Nancy A Mathiowetz, David Morganstein -- Measurement Effects in Self vs. Proxy Response to Survey Questions: An Information-Processing Perspective / Johnny Blair, Geeta Menon, Barbara Bickart -- An Alternative Approach to Obtaining Personal History Data / Barbara Means, Gary E Swan, Jared B Jobe, James L Esposito -- The Item Count Technique as a Method of Indirect Questioning: A Review of Its Development and a Case Study Application / Judith Droitcour, Rachel A Caspar, Michael L Hubbard, Teresa L Parsley, Wendy Visscher, Trena M Ezzati -- Toward a Response Model in Establishment Surveys / W Sherman Edwards, David Cantor -- Interviewers and Other Means of Data Collection. Data Collection Methods and Measurement Error: An Overview / Lars Lyberg, Daniel Kasprzyk -- Reducing Interviewer-Related Error Through Interviewer Training, Supervision, and Other Means / Floyd J Fowler -- The Design and Analysis of Reinterview: An Overview / G̲sta Forsman, Irwin Schreiner -- Expenditure Diary Surveys and Their Associated Errors / Adriana R Silberstein, Stuart Scott -- A Review of Errors of Direct Observation in Crop Yield Surveys / Ron Fecso -- Measurement Error in Continuing Surveys of the Grocery Retail Trade Using Electronic Data Collection Methods / John E Donmyer, Frank W Piotrowski, Kirk M Wolter -- Measurement Errors in the Interview Process. Conversation with a Purpose--or Conversation? Interaction in the Standardized Interview / Nora Cate Schaeffer -- Cognitive Laboratory Methods: A Taxonomy / Barbara H Forsyth, Judith T Lessler -- Studying Respondent-Interviewer Interaction: The Relationship Between Interviewing Style, Interviewer Behavior, and Response Behavior / Johannes van der Zouwen, Wil Dijkstra, Johannes H Smit -- The Effect of Interviewer and Respondent Characteristics on the Quality of Survey Data: A Multilevel Model / Joop J Hox, Edith D de Leeuw, Ita G G Kreft -- Interviewer, Respondent, and Regional Office Effects on Response Variance: A Statistical Decomposition / Daniel H Hill -- Modeling Measurement Errors and Their Effects on Estimation and Data Analysis. Approaches to the Modeling of Measurement Errors / Paul Biemer, S Lynne Stokes -- A Mixed Model for Analyzing Measurement Errors for Dichotomous Variables / Jeroen Pannekoek -- Models for Memory Effects in Count Data / Piet G W M van Dosselaar -- Simple Response Variance: Estimation and Determinants / Colm O'Muircheartaigh -- Evaluation of Measurement Instruments Using a Structural Modeling Approach / Willem E Saris, Frank M Andrews -- Path Analysis of Cross-National Data Taking Measurement Errors into Account / Ingrid M E Munck -- Regression Estimation in the Presence of Measurement Error / Wayne A Fuller -- Chi-Squared Tests with Complex Survey Data Subject to Misclassification Error / J N K Rao, D Roland Thomas -- The Effect of Measurement Error on Event History Analysis / D Holt, J W McDonald, C J Skinner -- References -- Index -- Wiley Series in Survey Methodology.

Additional Edition: Print version: Measurement errors in surveys. Hoboken, N.J. : Wiley-Interscience, ©2004 ISBN 0471692808

Language: English

Keywords: Electronic books. ; Aufsatzsammlung. ; Electronic books. ; Aufsatzsammlung.

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118150382

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118150382

UID:

Format: 1 online resource (pages .)

ISBN: 9780470891155 , 0470891157 , 9780470891148 , 0470891149

Content: "This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys. The book focuses on models that are appropriate for categorical data, although there are references to the differences and special problems that arise in the analysis and modeling of error for continuous data. Though the primary modeling method that is described is latent class analysis (LCA), a wide range of related models and applications are also discussed"--

Note: Frontmatter -- Survey Error Evaluation -- A General Model for Measurement Error -- Response Probability Models for Two Measurements -- Latent Class Models for Evaluating Classification Errors -- Further Aspects of Latent Class Modeling -- Latent Class Models for Special Applications -- Latent Class Models for Panel Data -- Survey Error Evaluation: Past, Present, and Future -- Appendix A: Two-Stage Sampling Formulas -- Appendix B: Loglinear Modeling Essentials -- References -- Index -- Wiley Series in Survey Methodology.

Additional Edition: Print version: Biemer, Paul P. Latent class analysis of survey error. Hoboken, N.J. : Wiley, 2010 ISBN 9780470289075

Language: English

Keywords: Electronic books. ; Electronic books. ; Electronic books.

DOI: 10.1002/9780470891155

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470891155

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470891155

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470891155

UID:

Format: 1 online resource

ISBN: 9781119041689 , 1119041686 , 9781119041702 , 1119041708

Note: Includes index.

Additional Edition: Print version: Total survey error in practice. Hoboken, New Jersey : John Wiley & Sons, 2016 ISBN 9781119041672

Language: English

Keywords: Electronic books. ; Electronic books. ; Electronic books.

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119041702

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119041702

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119041702

UID:

Format: 1 online resource (627 pages)

Edition: 1st ed.

ISBN: 9781119041689

Series Statement: Wiley Series in Survey Methodology Series

Note: Intro -- Title Page -- Copyright Page -- Contents -- Notes on Contributors -- Preface -- Section 1 The Concept of TSE and the TSE Paradigm -- Chapter 1 The Roots and Evolution of the Total Survey Error Concept -- 1.1 Introduction and Historical Backdrop -- 1.2 Specific Error Sources and Their Control or Evaluation -- 1.3 Survey Models and Total Survey Design -- 1.4 The Advent of More Systematic Approaches Toward Survey Quality -- 1.5 What the Future Will Bring -- References -- Chapter 2 Total Twitter Error: Decomposing Public Opinion Measurement on Twitter from a Total Survey Error Perspective -- 2.1 Introduction -- 2.1.1 Social Media: A Potential Alternative to Surveys? -- 2.1.2 TSE as a Launching Point for Evaluating Social Media Error -- 2.2 Social Media: An Evolving Online Public Sphere -- 2.2.1 Nature, Norms, and Usage Behaviors of Twitter -- 2.2.2 Research on Public Opinion on Twitter -- 2.3 Components of Twitter Error -- 2.3.1 Coverage Error -- 2.3.2 Query Error -- 2.3.3 Interpretation Error -- 2.3.4 The Deviation of Unstructured Data Errors from TSE -- 2.4 Studying Public Opinion on the Twittersphere and the Potential Error Sources of Twitter Data: Two Case Studies -- 2.4.1 Research Questions and Methodology of Twitter Data Analysis -- 2.4.2 Potential Coverage Error in Twitter Examples -- 2.4.3 Potential Query Error in Twitter Examples -- 2.4.3.1 Implications of Including or Excluding RTs for Error -- 2.4.3.2 Implications of Query Iterations for Error -- 2.4.4 Potential Interpretation Error in Twitter Examples -- 2.5 Discussion -- 2.5.1 A Framework That Better Describes Twitter Data Errors -- 2.5.2 Other Subclasses of Errors to Be Investigated -- 2.6 Conclusion -- 2.6.1 What Advice We Offer for Researchers and Research Consumers -- 2.6.2 Directions for Future Research -- References -- Chapter 3 Big Data: A Survey Research Perspective , 12.5.2.1 Dashboards and Paradata , 3.1 Introduction -- 3.2 Definitions -- 3.2.1 Sources -- 3.2.2 Attributes -- 3.2.2.1 Volume -- 3.2.2.2 Variety -- 3.2.2.3 Velocity -- 3.2.2.4 Veracity -- 3.2.2.5 Variability -- 3.2.2.6 Value -- 3.2.2.7 Visualization -- 3.2.3 The Making of Big Data -- 3.3 The Analytic Challenge: From Database Marketing to Big Data and Data Science -- 3.4 Assessing Data Quality -- 3.4.1 Validity -- 3.4.2 Missingness -- 3.4.3 Representation -- 3.5 Applications in Market, Opinion, and Social Research -- 3.5.1 Adding Value through Linkage -- 3.5.2 Combining Big Data and Surveys in Market Research -- 3.6 The Ethics of Research Using Big Data -- 3.7 The Future of Surveys in a Data-Rich Environment -- References -- Chapter 4 The Role of Statistical Disclosure Limitation in Total Survey Error -- 4.1 Introduction -- 4.2 Primer on SDL -- 4.3 TSE-Aware SDL -- 4.3.1 Additive Noise -- 4.3.2 Data Swapping -- 4.4 Edit-Respecting SDL -- 4.4.1 Simulation Experiment -- 4.4.2 A Deeper Issue -- 4.5 SDL-Aware TSE -- 4.6 Full Unification of Edit, Imputation, and SDL -- 4.7 ``Big Data´´ Issues -- 4.8 Conclusion -- Acknowledgments -- References -- Section 2 Implications for Survey Design -- Chapter 5 The Undercoverage-Nonresponse Tradeoff -- 5.1 Introduction -- 5.2 Examples of the Tradeoff -- 5.3 Simple Demonstration of the Tradeoff -- 5.4 Coverage and Response Propensities and Bias -- 5.5 Simulation Study of Rates and Bias -- 5.5.1 Simulation Setup -- 5.5.2 Results for Coverage and Response Rates -- 5.5.3 Results for Undercoverage and Nonresponse Bias -- 5.5.3.1 Scenario 1 -- 5.5.3.2 Scenario 2 -- 5.5.3.3 Scenario 3 -- 5.5.3.4 Scenario 4 -- 5.5.3.5 Scenario 7 -- 5.5.4 Summary of Simulation Results -- 5.6 Costs -- 5.7 Lessons for Survey Practice -- References -- Chapter 6 Mixing Modes: Tradeoffs Among Coverage, Nonresponse, and Measurement Error Roger Tourangeau -- 6.1 Introduction , 6.2 The Effect of Offering a Choice of Modes -- 6.3 Getting People to Respond Online -- 6.4 Sequencing Different Modes of Data Collection -- 6.5 Separating the Effects of Mode on Selection and Reporting -- 6.5.1 Conceptualizing Mode Effects -- 6.5.2 Separating Observation from Nonobservation Error -- 6.5.2.1 Direct Assessment of Measurement Errors -- 6.5.2.2 Statistical Adjustments -- 6.5.2.3 Modeling Measurement Error -- 6.6 Maximizing Comparability Versus Minimizing Error -- 6.7 Conclusions -- References -- Chapter 7 Mobile Web Surveys: A Total Survey Error Perspective -- 7.1 Introduction -- 7.2 Coverage -- 7.3 Nonresponse -- 7.3.1 Unit Nonresponse -- 7.3.2 Breakoffs -- 7.3.3 Completion Times -- 7.3.4 Compliance with Special Requests -- 7.4 Measurement Error -- 7.4.1 Grouping of Questions -- 7.4.1.1 Question-Order Effects -- 7.4.1.2 Number of Items on a Page -- 7.4.1.3 Grids versus Item-By-Item -- 7.4.2 Effects of Question Type -- 7.4.2.1 Socially Undesirable Questions -- 7.4.2.2 Open-Ended Questions -- 7.4.3 Response and Scale Effects -- 7.4.3.1 Primacy Effects -- 7.4.3.2 Slider Bars and Drop-Down Questions -- 7.4.3.3 Scale Orientation -- 7.4.4 Item Missing Data -- 7.5 Links Between Different Error Sources -- 7.6 The Future of Mobile web Surveys -- References -- Chapter 8 The Effects of a Mid-Data Collection Change in Financial Incentives on Total Survey Error in the National Survey of Famil... -- 8.1 Introduction -- 8.2 Literature Review: Incentives in Face-to-Face Surveys -- 8.2.1 Nonresponse Rates -- 8.2.2 Nonresponse Bias -- 8.2.3 Measurement Error -- 8.2.4 Survey Costs -- 8.2.5 Summary -- 8.3 Data and Methods -- 8.3.1 NSFG Design: Overview -- 8.3.2 Design of Incentive Experiment -- 8.3.3 Variables -- 8.3.4 Statistical Analysis -- 8.4 Results -- 8.4.1 Nonresponse Error -- 8.4.2 Sampling Error and Costs -- 8.4.3 Measurement Error , 8.5 Conclusion -- 8.5.1 Summary -- 8.5.2 Recommendations for Practice -- References -- Chapter 9 A Total Survey Error Perspective on Surveys in Multinational, Multiregional, and Multicultural Contexts -- 9.1 Introduction -- 9.2 TSE in Multinational, Multiregional, and Multicultural Surveys -- 9.3 Challenges Related to Representation and Measurement Error Components in Comparative Surveys -- 9.3.1 Representation Error -- 9.3.1.1 Coverage Error -- 9.3.1.2 Sampling Error -- 9.3.1.3 Unit Nonresponse Error -- 9.3.1.4 Adjustment Error -- 9.3.2 Measurement Error -- 9.3.2.1 Validity -- 9.3.2.2 Measurement Error - The Response Process -- 9.3.2.3 Processing Error -- 9.4 QA and QC in 3MC Surveys -- 9.4.1 The Importance of a Solid Infrastructure -- 9.4.2 Examples of QA and QC Approaches Practiced by Some 3MC Surveys -- 9.4.3 QA/QC Recommendations -- References -- Chapter 10 Smartphone Participation in Web Surveys: Choosing Between the Potential for Coverage, Nonresponse, and Measurement Error -- 10.1 Introduction -- 10.1.1 Focus on Smartphones -- 10.1.2 Smartphone Participation: Web-Survey Design Decision Tree -- 10.1.3 Chapter Outline -- 10.2 Prevalence of Smartphone Participation in Web Surveys -- 10.3 Smartphone Participation Choices -- 10.3.1 Disallowing Smartphone Participation -- 10.3.2 Discouraging Smartphone Participation -- 10.4 Instrument Design Choices -- 10.4.1 Doing Nothing -- 10.4.2 Optimizing for Smartphones -- 10.5 Device and Design Treatment Choices -- 10.5.1 PC/Legacy versus Smartphone Designs -- 10.5.2 PC/Legacy versus PC/New -- 10.5.3 Smartphone/Legacy versus Smartphone/New -- 10.5.4 Device and Design Treatment Options -- 10.6 Conclusion -- 10.7 Future Challenges and Research Needs -- Appendix 10.A: Data Sources -- A.1 Market Strategies (17 studies) -- A.2 Experimental Data from Market Strategies International , A.3 Sustainability Cultural Indicators Program (SCIP) -- A.4 Army Study to Assess Risk and Resilience in Service members (STARRS) -- A.5 Panel Study of Income Dynamics Childhood Retrospective Circumstances Study (PSID-CRCS) -- Appendix 10.B: Smartphone Prevalence in Web Surveys -- Appendix 10.C: Screen Captures from Peterson and others (2013) Experiment -- Appendix 10.D: Survey Questions Used in the Analysis of the Peterson and others (2013) Experiment -- References -- Chapter 11 Survey Research and the Quality of Survey Data Among Ethnic Minorities -- 11.1 Introduction -- 11.2 On the Use of the Terms Ethnicity and Ethnic Minorities -- 11.3 On the Representation of Ethnic Minorities in Surveys -- 11.3.1 Coverage of Ethnic Minorities -- 11.3.2 Factors Affecting Nonresponse Among Ethnic Minorities -- 11.3.3 Postsurvey Adjustment Issues Related to Surveys Among Ethnic Minorities -- 11.4 Measurement Issues -- 11.4.1 The Tradeoff When Using Response-Enhancing Measures -- 11.5 Comparability, Timeliness, and Cost Concerns -- 11.5.1 Comparability -- 11.5.2 Timeliness and Cost Considerations -- 11.6 Conclusion -- References -- Section 3 Data Collection and Data Processing Applications -- Chapter 12 Measurement Error in Survey Operations Management: Detection, Quantification, Visualization, and Reduction -- 12.1 TSE Background on Survey Operations -- 12.2 Better and Better: Using Behavior Coding (CARIcode) and Paradata to Evaluate and Improve Question (Specification) Erro... -- 12.2.1 CARI Coding at Westat -- 12.2.2 CARI Experiments -- 12.3 Field-Centered Design: Mobile App for Rapid Reporting and Management -- 12.3.1 Mobile App Case Study -- 12.3.2 Paradata Quality -- 12.4 Faster and Cheaper: Detecting Falsification With GIS Tools -- 12.5 Putting It All Together: Field Supervisor Dashboards -- 12.5.1 Dashboards in Operations -- 12.5.2 Survey Research Dashboards

Additional Edition: Print version Biemer, Paul P. Total Survey Error in Practice Newark : John Wiley & Sons, Incorporated,c2017 ISBN 9781119041672

Language: English

Keywords: Electronic books ; Electronic books

URL: FULL  ((OIS Credentials Required))

URL: FULL  ((OIS Credentials Required))

UID:

Format: xxvii, 593 Seiten , Illustrationen, Diagramme

ISBN: 9781119041672

Series Statement: Wiley series in survey methodology

Note: Includes bibligraphical references and index

Additional Edition: ISBN 9781119041696

Additional Edition: Erscheint auch als Online-Ausgabe Total survey error in practice Hoboken, New Jersey : Wiley, 2017 ISBN 9781119041689

Additional Edition: ISBN 1119041686

Additional Edition: ISBN 9781119041702

Additional Edition: ISBN 1119041708

Additional Edition: Erscheint auch als Online-Ausgabe Total survey error in practice Hoboken, New Jersey : Wiley, 2017 ISBN 9781119041689

Language: English

Subjects: Sociology

Keywords: Demoskopie ; Umfrage ; Fehler ; Qualität ; Empirische Sozialforschung

URL: Cover

Author information: Kreuter, Frauke