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Book
465 pages : illustrations ; 24 cm.
Green Library
Book
478 p. : ill. ; 24 cm.
  • Einleitung
  • Grundlagen soziologischer Gesundheitsforschung
  • Sozialstrukturelle und kulturelle Einflüsse auf Krankheit und Gesundheit
  • Soziales Handeln und Gesundheit
  • Gesundheitssystem und Gesundheitspolitik
  • Gesundheitsversorgung und ihre Bewertung durch die Bevölkerung.
Green Library
Book
276 p. : ill. ; 24 cm.
SAL3 (off-campus storage)
Book
ix, 414 p. : ill. ; 25 cm
  • Introduction - Christof Wolf and Henning Best PART I: ESTIMATION AND INFERENCE Estimation Techniques: Ordinary least squares and maximum likelihood - Martin Elff Bayesian Estimation of Regression Models - Susumu Shikano PART II: REGRESSION ANALYSIS FOR CROSS-SECTIONS Linear Regression - Christof Wolf and Henning Best Regression Analysis: Assumptions and Diagnostics - Bart Meuleman, Geert Loosveldt and Viktor Emonds Non-Linear and Non-Additive Effects in Linear Regression - Henning Lohmann The Multilevel Regression Model - Joop Hox and Leoniek Wijngaards-de Meij Logistic Regression - Henning Best and Christof Wolf Regression Models for Nominal and Ordinal Outcomes - J. Scott Long Graphical Display of Regression Results - Gerrit Bauer Regression With Complex Samples - Steven G. Heeringa, Brady T. West and Patricia A. Berglund PART III: CAUSAL INFERENCE AND ANALYSIS OF LONGITUDINAL DATA Matching Estimators for Treatment Effects - Markus Gangl Instrumental Variables Regression - Christopher Muller, Christopher Winship and Stephen L. Morgan Regression Discontinuity Designs in Social Sciences - David S. Lee and Thomas Lemieux Fixed-effects Panel Regression - Josef Bruderl and Volker Ludwig Event History Analysis - Hans-Peter Blossfeld and Gwendoline J. Blossfeld Time-Series Cross-Section - Jessica Fortin-Rittberger.
  • (source: Nielsen Book Data)9781446252444 20160617
Edited and written by a team of leading international social scientists, this handbook provides a comprehensive introduction to multivariate methods. The handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, regression discontinuities Each section of the handbook starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method's logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the handbook provides a comprehensive discussion of each method's application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
(source: Nielsen Book Data)9781446252444 20160617
Science Library (Li and Ma)
Book
ix, 413 p. ; 24 cm.
  • 1. Measuring Demographic and Socio-Economic Variables in Cross-National Research: An Overview-- C. Wolf, J.H.P. Hoffmeyer-Zlotnik. Part I: Harmonising Demographic and Socio-Economic Variables: Objectives. 2. Harmonising Data in Official Statistics: Development, Procedures, and Data Quality-- M. Ehling. 3. The ISSP and its Approach to Background Variables-- M. Braun, R. Uher. 4. Harmonising Sampling Frames and Indicators in International Market Research: A German Perspective-- M. Smid, D. Hess. Part II: International Standards for Demographic and Socio-Economic Variables. 5. Harmonisation of Socio-Economic Variables in EU Statistics-- L. Mejer. Appendix: EU-SILC Materials from the Pilot Study in 2002-- compiled by U. Warner, J.H.P. Hoffmeyer-Zlotnik. 6. The ESOMAR Standard Demographic Classification: A System of International Socio-Economic Classification of Respondents to Survey Research-- ESOMAR. Part III: International Instruments for Selected Variables. 7. International Classification of Status in Employment, ICSE-93-- E. Hoffmann. 8. International Statistical Comparisons of Occupational and Social Structures: Problems, Possibilities and the Role of ISCO-88-- E. Hoffmann. 9. Three Internationally Standardised Measures for Comparative Research on Occupational Status-- H.B.G. Ganzeboom, D.J. Treiman. 10. International Standard Classification of Education, ISCED 1997-- UNESCO. 11. The CASMIN Educational Classification in International Comparative Research-- H. Brauns, S. Scherer, S. Steinmann. 12. The Classification of Education as a Sociological Background Characteristic-- J.H.P. Hoffmeyer-Zlotnik. Part IV: Suggested Conventions for Selected Variables for Which Comparative Instruments Do Not Exist. 13. How to Measure Sex/Gender and Age-- C. Wolf, J.H.P. Hoffmeyer-Zlotnik. 14. How to Measure Race and Ethnicity-- J.H.P. Hoffmeyer-Zlotnik. 15. How to Measure Household and Family-- W. Bien, H. Quellenberg. 16. How to Measure (New) Work Situations-- B. Langfeldt. 17. How to Measure Income-- U. Warner, J.H.P. Hoffmeyer-Zlotnik. Part V: Cross-Cultural Comparisons: Empirical Applications. 18. Using CASMIN: The Effect of Education on Wages in Britain and Germany-- M. Brynin. 19. Education and Unemployment Risks among Market Entrants: A Comparison of France, the United Kingdom and West Germany-- H. Brauns, M. Gangl, S. Scherer. 20. The Validity of Income Measurements in Comparative Perspective: Non-Responses and Biases-- C. Holst. Part VI: Harmonising Demographic and Socio-Economic Variables: Synthesis. 21. Comparing Demographic and Socio-Economic Variables Across Nations: Synthesis and Recommendations-- J.H.P. Hoffmeyer-Zlotnik, C. Wolf. Contributing Authors. Index.
  • (source: Nielsen Book Data)9780306477317 20160528
The book consists of five parts and a concluding chapter. Part 1 covers general problems and presents solutions for the harmonisation of data from different national and/or cultural contexts. In the second part EUROSTAT and ESOMAR present their established standard instruments. Tested instruments each covering one variable (i.e. occupation, education) are presented in the third part. The fourth part again includes suggested tools for the harmonisation of single variables for which standardised instruments are not yet available (i.e. age, religion, ethnicity, household, family, income). The last part presents selected empirical analyses demonstrating the use and fruitfulness of instruments presented before. This book is mainly written for two groups - first, researchers and practitioners involved in comparative research in Europe; and second, researchers working with data of the statistical offices of European countries and data from institutions of the European Union EUROSTAT and ESOMAR.
(source: Nielsen Book Data)9780306477317 20160528
SAL3 (off-campus storage)
Book
xxiii, 716 pages : illustrations ; 26 cm
  • Part I: Basic Principles1. Introduction - Yang-chih Fu, Dominique Joye, Tom W. Smith and Christof Wolf2. Survey standards - Tom W. Smith 3. Total survey error: a paradigm for survey methodology - Lars E. Lyberg and Herbert F. Weisberg 4. Challenges of comparative survey research - Timothy P. Johnson and Michael Braun Part II: Surveys and Societies5. Surveys and society - Claire Durand 6. Defining and assessing survey climate - Geert Loosveldt and Dominique Joye 7. The Ethical issues of survey and market research - Kathy Joe, Finn Raben and Adam Phillips8. Observations on the historical development of polling - Kathleen A. Frankovic Part III: Planning a Survey9. Research question and designs for survey research - Ben Jann and Thomas Hinz 10. Total survey error paradigm: : Theory and Practice - Paul P. Biemer 11. Survey mode or survey modes? - Edith de Leeuw and Jernej Berzelak 12. Surveying in multi-cultural and multi-national contexts - Beth-Ellen Pennell and Kristen Cibelli-Hibben 13. Surveys in societies in turmoil - Zeina N. Mneimneh, Beth-Ellen Pennell, Jennifer Kelley and Kristen Cibelli-Hibben Part IV: Measurement14. What does Measurement Mean in a Survey Context? - Jaak Billiet 15. Cognitive models of answering processes - Kristen Miller and Gordon B. Willis16. Designing questions and questionnaires - Jolene D. Smyth 17. Creating a good question: how to use cumulative experience - Melanie Revilla, Diana Zavala-Rojas and Willem Saris18. Designing a mixed-mode survey - Don A. Dillman and Michelle L. Edwards 19. The Translation of Measurement Instruments for Cross-cultural Surveys - Dorothee Behr and Kuniaki Shishido 20. When Translation is not Enough: Background Variables in Comparative Surveys - Silke Schneider, Dominique Joye and Christof WolfPart V: Sampling21. Basics of sampling for survey research - Yves Tille and Alina Matei22. Nonprobability sampling - Vasja Vehovar, Vera Toepoel and Stephanie Steinmetz23. Special challenges of sampling for comparative surveys - Siegfried Gabler and Sabine Hader Part VI: Data Collection24. Questionnaire pretesting - Gordon B. Willis 25. Survey fieldwork - Annelies G. Blom 26. Responsive and adaptive designs - Francois Laflamme and James Wagner 27. Unit nonresponse - Ineke A. L. Stoop 28. Incentives as a possible measure to increase response rates - Michele Ernst Stahli and Dominique Joye Part VII: Preparing Data for Use29. Documenting Survey Data Across the Life Cycle - Mary Vardigan, Peter Granda and Lynette Hoelter30. Weighting: principles and practicalities - Pierre Lavallee and Jean-Francois Beaumont 31. Analysis of data from stratified and clustered surveys - Stephanie Eckman and Brady T. West 32. Analytical Potential Versus Data Confidentiality - Finding the Optimal Balance - Heike Wirth 33. Harmonizing Survey Questions Between Cultures and Over Time - Christof Wolf, Silke L. Schneider, Dorothee Behr and Dominique JoyePart VIII: Assessing and Improving Data Quality34. Survey data quality and measurement precision - Duane F. Alwin 35. Nonresponse error: detection and correction - Jelke Bethlehem and Barry Schouten 36. Response styles in surveys: understanding their causes and mitigating their impact - Caroline Roberts37. Dealing with missing values - Martin Spiess 38. Another Look at Survey Data Quality - Victor Thiessen and Jorg Blasius 39. Assessment of cross-cultural comparability - Jan Cieciuch, Eldad Davidov, Peter Schmidt and Rene AlgesheimerPart IX: Further Issues40. Data preservation, secondary analysis, and replication: learning from existing data - Lynette Hoelter, Amy Pienta and Jared Lyle41. Record linkage - Rainer Schnell 42. Supplementing cross-national surveys with contextual data - Jessica Fortin-Rittberger, David Howell, Stephen Quinlan and Bojan Todosijevic43. The Globalization of surveys - Tom W. Smith and Yang-chih Fu.
  • (source: Nielsen Book Data)9781446282663 20170821
Survey Methodology is becoming a more structured field of research, deserving of more and more academic attention. The SAGE Handbook of Survey Methodology explores both the increasingly scientific endeavour of surveys and their growing complexity, as different data collection modes and information sources are combined. The handbook takes a global approach, with a team of international experts looking at local and national specificities, as well as problems of cross-national, comparative survey research. The chapters are organized into seven major sections, each of which represents a stage in the survey life-cycle: Surveys and Societies Planning a Survey Measurement Sampling Data Collection Preparing Data for Use Assessing and Improving Data Quality The SAGE Handbook of Survey Methodology is a landmark and essential tool for any scholar within the social sciences.
(source: Nielsen Book Data)9781446282663 20170821
Law Library (Crown)
Book
1 online resource (716 pages) : illustrations
  • Part I: Basic Principles1. Introduction - Yang-chih Fu, Dominique Joye, Tom W. Smith and Christof Wolf2. Survey standards - Tom W. Smith 3. Total survey error: a paradigm for survey methodology - Lars E. Lyberg and Herbert F. Weisberg 4. Challenges of comparative survey research - Timothy P. Johnson and Michael Braun Part II: Surveys and Societies5. Surveys and society - Claire Durand 6. Defining and assessing survey climate - Geert Loosveldt and Dominique Joye 7. The Ethical issues of survey and market research - Kathy Joe, Finn Raben and Adam Phillips8. Observations on the historical development of polling - Kathleen A. Frankovic Part III: Planning a Survey9. Research question and designs for survey research - Ben Jann and Thomas Hinz 10. Total survey error paradigm: : Theory and Practice - Paul P. Biemer 11. Survey mode or survey modes? - Edith de Leeuw and Jernej Berzelak 12. Surveying in multi-cultural and multi-national contexts - Beth-Ellen Pennell and Kristen Cibelli-Hibben 13. Surveys in societies in turmoil - Zeina N. Mneimneh, Beth-Ellen Pennell, Jennifer Kelley and Kristen Cibelli-Hibben Part IV: Measurement14. What does Measurement Mean in a Survey Context? - Jaak Billiet 15. Cognitive models of answering processes - Kristen Miller and Gordon B. Willis16. Designing questions and questionnaires - Jolene D. Smyth 17. Creating a good question: how to use cumulative experience - Melanie Revilla, Diana Zavala-Rojas and Willem Saris18. Designing a mixed-mode survey - Don A. Dillman and Michelle L. Edwards 19. The Translation of Measurement Instruments for Cross-cultural Surveys - Dorothee Behr and Kuniaki Shishido 20. When Translation is not Enough: Background Variables in Comparative Surveys - Silke Schneider, Dominique Joye and Christof WolfPart V: Sampling21. Basics of sampling for survey research - Yves Tille and Alina Matei22. Nonprobability sampling - Vasja Vehovar, Vera Toepoel and Stephanie Steinmetz23. Special challenges of sampling for comparative surveys - Siegfried Gabler and Sabine Hader Part VI: Data Collection24. Questionnaire pretesting - Gordon B. Willis 25. Survey fieldwork - Annelies G. Blom 26. Responsive and adaptive designs - Francois Laflamme and James Wagner 27. Unit nonresponse - Ineke A. L. Stoop 28. Incentives as a possible measure to increase response rates - Michele Ernst Stahli and Dominique Joye Part VII: Preparing Data for Use29. Documenting Survey Data Across the Life Cycle - Mary Vardigan, Peter Granda and Lynette Hoelter30. Weighting: principles and practicalities - Pierre Lavallee and Jean-Francois Beaumont 31. Analysis of data from stratified and clustered surveys - Stephanie Eckman and Brady T. West 32. Analytical Potential Versus Data Confidentiality - Finding the Optimal Balance - Heike Wirth 33. Harmonizing Survey Questions Between Cultures and Over Time - Christof Wolf, Silke L. Schneider, Dorothee Behr and Dominique JoyePart VIII: Assessing and Improving Data Quality34. Survey data quality and measurement precision - Duane F. Alwin 35. Nonresponse error: detection and correction - Jelke Bethlehem and Barry Schouten 36. Response styles in surveys: understanding their causes and mitigating their impact - Caroline Roberts37. Dealing with missing values - Martin Spiess 38. Another Look at Survey Data Quality - Victor Thiessen and Jorg Blasius 39. Assessment of cross-cultural comparability - Jan Cieciuch, Eldad Davidov, Peter Schmidt and Rene AlgesheimerPart IX: Further Issues40. Data preservation, secondary analysis, and replication: learning from existing data - Lynette Hoelter, Amy Pienta and Jared Lyle41. Record linkage - Rainer Schnell 42. Supplementing cross-national surveys with contextual data - Jessica Fortin-Rittberger, David Howell, Stephen Quinlan and Bojan Todosijevic43. The Globalization of surveys - Tom W. Smith and Yang-chih Fu.
  • (source: Nielsen Book Data)9781473959057 20170821
Survey Methodology is becoming a more structured field of research, deserving of more and more academic attention. The SAGE Handbook of Survey Methodology explores both the increasingly scientific endeavour of surveys and their growing complexity, as different data collection modes and information sources are combined. The handbook takes a global approach, with a team of international experts looking at local and national specificities, as well as problems of cross-national, comparative survey research. The chapters are organized into seven major sections, each of which represents a stage in the survey life-cycle: Surveys and Societies Planning a Survey Measurement Sampling Data Collection Preparing Data for Use Assessing and Improving Data Quality The SAGE Handbook of Survey Methodology is a landmark and essential tool for any scholar within the social sciences.
(source: Nielsen Book Data)9781473959057 20170821

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