Handbook of Health Survey Methods (Wiley Handbooks in Survey Methodology)

Handbook of Health Survey Methods (Wiley Handbooks in Survey Methodology)

By: Timothy P. Johnson (editor)Hardback

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Description

A comprehensive guidebook to the current methodologies and practices used in health surveys A unique and self-contained resource, Handbook of Health Survey Methods presents techniques necessary for confronting challenges that are specific to health survey research. The handbook guides readers through the development of sample designs, data collection procedures, and analytic methods for studies aimed at gathering health information on general and targeted populations. The book is organized into five well-defined sections: Design and Sampling Issues, Measurement Issues, Field Issues, Health Surveys of Special Populations, and Data Management and Analysis. Maintaining an easy-to-follow format, each chapter begins with an introduction, followed by an overview of the main concepts, theories, and applications associated with each topic. Finally, each chapter provides connections to relevant online resources for additional study and reference. The Handbook of Health Survey Methods features: *29 methodological chapters written by highly qualified experts in academia, research, and industry * A treatment of the best statistical practices and specific methodologies for collecting data from special populations such as sexual minorities, persons with disabilities, patients, and practitioners * Discussions on issues specific to health research including developing physical health and mental health measures, collecting information on sensitive topics, sampling for clinical trials, collecting biospecimens, working with proxy respondents, and linking health data to administrative and other external data sources * Numerous real-world examples from the latest research in the fields of public health, biomedicine, and health psychology Handbook of Health Survey Methods is an ideal reference for academics, researchers, and practitioners who apply survey methods and analyze data in the fields of biomedicine, public health, epidemiology, and biostatistics. The handbook is also a useful supplement for upper-undergraduate and graduate-level courses on survey methodology.

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About Author

Timothy P. Johnson, PhD, is Director of the Survey Research Laboratory and Professor of Public Administration at the University of Illinois at Chicago (UIC), where he is also Research Professor of Epidemiology and Deputy Director for Evaluation and Tracking of the UIC Center for Clinical and Translational Research. The author of numerous journal articles, Dr. Johnson is Coeditor of Survey Methods in Multicultural, Multinational, and Multiregional Contexts, also published by Wiley.

Contents

List of Contributors xvii Preface xxi Acknowledgments xxiii 1 Origins and Development of Health Survey Methods 1 Timothy P. Johnson 1.1 Introduction 1 1.2 Precursors of Modern Health Surveys 1 1.3 The First Modern Health Surveys 4 1.4 The Emergence of National Health Surveys 5 1.5 Post-WWII Advances 6 1.6 Current Developments 7 References 9 Online Resources 17 2 Sampling For Community Health Surveys 21 Michael P. Battaglia 2.1 Introduction 21 2.2 Background 22 2.3 Theory and Applications 24 2.4 Subpopulation Surveys 30 2.5 Sample Size Considerations 32 2.6 Summary 32 References 33 Online Resources 34 3 Developing a Survey Sample Design for Population-Based Case Control Studies 37 Ralph DiGaetano 3.1 Introduction 37 3.2 A Classic Sample Design for a Population-Based Case Control Study 39 3.3 Sample Design Concepts and Issues Related to Case Control Studies 40 3.4 Basic Sample Design Considerations 49 3.5 Sample Selection of Cases 56 3.6 Sample Selection of Controls 57 3.7 Sample Weighting for Population-Based Case Control Studies 62 3.8 The Need to Account for Analytic Plans When Developing a Sample Design: An Example 65 3.9 Sample Designs for Population-Based Case Control Studies: When Unweighted Analyses Are Planned 66 3.10 Mimicking the Classic Design Using RDD-Based Sampling of Population-Based Controls 66 3.11 Examples of the Development of Complex Sample Designs for Population-Based Case Control Studies Using Weighted Analyses Where Cases Serve as the Reference Population and Variance Estimates Reflect the Sample Design 69 3.12 Summary 71 References 71 Online Resources 75 4 Sampling Rare Populations 77 James Wagner and Sunghee Lee 4.1 Introduction 77 4.2 Traditional Probability Sampling Approaches 80 4.3 Nontraditional and Nonprobability Sampling Approaches 84 4.4 Conclusion 95 References 97 Online Resources 103 5 Assessing Physical Health 107 Todd Rockwood 5.1 Introduction 107 5.2 Assessing Health: Response Formation and Accuracy 110 5.3 Conceptual Framework for Developing and Assessing Health 118 5.4 Measurement Theory 124 5.5 Error and Methodology 129 5.6 Conclusion 132 References 134 Online Resources 141 6 Developing and Selecting Mental Health Measures 143 Ronald C. Kessler and Beth-Ellen Pennell 6.1 Introduction 143 6.2 Historical Background 144 6.3 Fully Structured Diagnostic Interviews 147 6.4 Dimensional Measures of Symptom Severity 148 6.5 Emerging Issues in Survey Assessments of Mental Disorders 156 6.6 Conclusion 159 References 159 Online Resources 169 7 Developing Measures of Health Behavior and Health Service Utilization 171 Paul Beatty 7.1 Introduction 171 7.2 The Conceptual Phase of Questionnaire Development 172 7.3 Development of Particular Questions 173 7.4 Overall Questionnaire Construction 184 7.5 Questionnaire Testing and Evaluation 186 7.6 Using Questions from Previously Administered Questionnaires 187 7.7 Conclusion 187 References 188 Online Resources 190 8 Self-Rated Health in Health Surveys 193 Sunghee Lee 8.1 Introduction 193 8.2 Utility of Self-Rated Health 195 8.3 Theoretical Evidence: Cognitive Processes Pertinent to Responding to SRH in Surveys 198 8.4 Measurement Issues for Self-Rated Health 201 8.5 Conclusion 206 References 207 Online Resources 216 9 Pretesting of Health Survey Questionnaires: Cognitive Interviewing Usability Testing and Behavior Coding 217 Gordon Willis 9.1 Introduction 217 9.2 Historical Background and Theory of Pretesting 218 9.3 Cognitive Interviewing 220 9.4 Usability Testing 229 9.5 Behavior Coding 232 9.6 Summary 236 References 238 Online Resources 241 10 Cross-Cultural Considerations in Health Surveys 243 Brad Edwards 10.1 Introduction 243 10.2 Theory and Practice 255 10.3 Conclusion 266 References 266 Online Resources 274 11 Survey Methods for Social Network Research 275 Benjamin Cornwell and Emily Hoagland 11.1 Introduction 275 11.2 Respondents as Social Network Informants 277 11.3 Whole Egocentric and Mixed Designs 277 11.4 Name Generators 282 11.5 Free Versus Fixed Choice 286 11.6 Name Interpreters 287 11.7 Social Network Measures 288 11.8 Other Approaches to Collecting Network-Like Data 292 11.9 Modes of Data Collection and Survey Logistics 295 11.10 Avoiding Endogeneity in Survey-Based Network Data 296 11.11 Selection Issues 300 11.12 New Directions: Measuring Social Network Dynamics 301 11.13 Further Reading 304 References 304 Online Resources 312 12 New Technologies for Health Survey Research 315 Joe Murphy Elizabeth Dean Craig A. Hill and Ashley Richards 12.1 Introduction 315 12.2 Background 316 12.3 Theory and Applications 318 12.4 Summary 329 References 331 Online Resources 337 13 Using Survey Data to Improve Health: Community Outreach and Collaboration 341 Steven Whitman Ami M. Shah Maureen R. Benjamins and Joseph West 13.1 Introduction 341 13.2 Our Motivation 342 13.3 Our Process 343 13.4 A Few Findings 344 13.5 Case Studies of Community Engagement 349 13.6 Some Lessons Learned 361 References 363 Online Resources 365 14 Proxy Reporting in Health Surveys 367 Joseph W. Sakshaug 14.1 Introduction 367 14.2 Background 367 14.3 Proxy Interviews for Children 370 14.4 Proxy Interviews for the Elderly 372 14.5 Proxy Interviews for the Disabled 374 14.6 Summary 375 References 376 Online Resources 381 15 The Collection of Biospecimens in Health Surveys 383 Joseph W. Sakshaug Mary Beth Ofstedal Heidi Guyer and Timothy J. Beebe 15.1 Introduction 383 15.2 Background 384 15.3 Biomeasure Selection 387 15.4 Methodological and Operational Considerations 397 15.5 Quality Control 402 15.6 Ethical and Legal Considerations 408 15.7 Methods of Data Dissemination 411 15.8 Summary 412 References 413 Online Resources 419 16 Collecting Contextual Health Survey Data Using Systematic Observation 421 Shannon N. Zenk Sandy Slater and Safa Rashid 16.1 Introduction 421 16.2 Background 423 16.3 Data Collection 426 16.4 Reliability and Validity Assessment 429 16.5 Data Analysis 432 16.6 Theory and Applications 432 16.7 BTG-COMP: Evaluating the Impact of the Built Environment on Adolescent Obesity 432 16.8 Evaluating the Impact of a Policy Change on the Retail Fruit and Vegetable Supply 436 16.9 Summary 440 References 441 Online Resources 445 17 Collecting Survey Data on Sensitive Topics: Substance Use 447 Joe Gfroerer and Joel Kennet 17.1 Introduction 447 17.2 Background 448 17.3 Theory and Applications 450 17.4 Validation 463 17.5 Alternative Estimation Methods 464 17.6 Summary 466 References 467 Online Resources 472 18 Collecting Survey Data on Sensitive Topics: Sexual Behavior 473 Tom W. Smith 18.1 Introduction 473 18.2 Sampling 474 18.3 Nonobservation 475 18.4 Observation/Measurement Error 475 18.5 Summary 479 References 479 Online Resources 485 19 Ethical Considerations in Collecting Health Survey Data 487 Emily E. Anderson 19.1 Introduction 487 19.2 Background: Ethical Principles and Federal Regulations for Research 488 19.3 Defining Evaluating and Minimizing Risk 491 19.4 Ethical Review of Health Survey Research 497 19.5 Informed Consent for Survey Participation 500 19.6 Considerations for Data Collection 504 19.7 Summary 505 References 506 Online Resources 510 20 Surveys of Physicians 515 Jonathan B. VanGeest Timothy J. Beebe and Timothy P. Johnson 20.1 Introduction 515 20.2 Why Physicians do not Respond 517 20.3 Theory and Applications: Improving Physician Participation 518 20.4 Sampling 518 20.5 Design-Based Interventions to Improve Response 523 20.6 Incentive-Based Interventions 530 20.7 Supporting Evidence from Other Health Professions 532 20.8 Conclusion 533 References 534 Online Resources 543 21 Surveys of Health Care Organizations 545 John D. Loft Joe Murphy and Craig A. Hill 21.1 Introduction 545 21.2 Examples of Health Care Organizations Surveys 548 21.3 Surveys of Health Care Organizations as Establishment Surveys 548 21.4 Conclusions 556 References 558 Online Resources 560 22 Surveys of Patient Populations 561 Francis Fullam and Jonathan B. VanGeest 22.1 Introduction 561 22.2 Patients and Care Settings 563 22.3 Overview of Common Patient Survey Methodologies 564 22.4 Key Issues in Patient Survey Design and Administration 565 22.5 Strategies for Developing Effective Patient Surveys 570 22.6 Conclusion 573 References 574 Online Resources 583 23 Surveying Sexual and Gender Minorities 585 Melissa A. Clark Samantha Rosenthal and Ulrike Boehmer 23.1 Introduction 585 23.2 Prevalence Estimates of Sexual and Gender Minorities 592 23.3 Sampling and Recruitment 597 23.4 Data Collection 606 23.5 Conclusions 608 References 609 Online Resources 617 24 Surveying People with Disabilities: Moving Toward Better Practices and Policies 619 Rooshey Hasnain Carmit-Noa Shpigelman Mike Scott Jon R. Gunderson Hadi B. Rangin Ashmeet Oberoi and Liam McKeever 24.1 Introduction 620 24.2 Setting a Foundation:The Importance of Inclusion for Web-Based Surveys 623 24.3 Promoting Participation with Web Accessibility 624 24.4 Testing the Accessibility of Some Web-Based Survey Tools 626 24.5 Ensuring Web Accessibility at Various Levels of Disability 629 24.6 Problems Posed By Inaccessible Web-Based Surveys for People with Disabilities 633 24.7 Applications: How to Ensure that Web-Based Surveys are Accessible 634 24.8 Summary and Conclusions 637 References 638 Online Resources 641 25 Assessing the Quality of Health Survey Data Through Modern Test Theory 645 Adam C. Carle 25.1 Introduction 645 25.2 Internal Validity and Dimensionality 647 25.3 Dimensionality and Bifactor Model Example 650 25.4 Dimensionality Discussion 652 25.5 Measurement Bias 653 25.6 Multiple Group Multiple Indicator Multiple Cause Models 655 25.7 Additional Challenges to Health Survey Data Quality 664 25.8 Overall Conclusion 664 References 665 Online Resources 667 26 Sample Weighting for Health Surveys 669 Kennon R. Copeland and Nadarajasundaram Ganesh 26.1 Objectives of Sample Weighting 669 26.2 Sample Weighting Stages (Probability Sample Designs) 670 26.3 Calculating Base Weights 671 26.4 Accounting for Noncontact and Nonresponse 672 26.5 Adjusting to Independent Population Controls 677 26.6 SampleWeighting for Nonprobability Sample Designs 680 26.7 Issues in Sample Weighting 680 26.8 Estimation 682 26.9 Variance Estimation 683 26.10 Special Topics 683 26.11 Example: Weighting for the 2010 National Immunization Survey 685 26.12 Summary 692 References 692 Online Resources 694 27 Merging Survey Data with Administrative Data for Health Research Purposes 695 Michael Davern Marc Roemer and Wendy Thomas 27.1 Introduction 695 27.2 Potential Uses of Linked Data 696 27.3 Limitations and Strengths of Survey Data 699 27.4 Limitations and Strengths of Administrative Data 700 27.5 A Research Agenda into Linked Data File Quality 701 27.6 Conclusions 712 References 713 Online Resources 716 28 Merging Survey Data with Aggregate Data from Other Sources: Opportunities and Challenges 717 Jarvis T. Chen 28.1 Background 717 28.2 Geocoding and Linkage to Area-Based Data 719 28.3 Geographic Levels of Aggregation 720 28.4 Types of Area-Level Measures 723 28.5 Sources of Aggregated Data 724 28.6 Aggregate Data Measures as Proxies for Individual Data 730 28.7 Aggregate Measures as Contextual Variables 731 28.8 The Components of Ecological Bias 732 28.9 Analytic Approaches to the Analysis of Survey Data with Linked Area-Based Measures 742 28.10 Summary 746 References 748 Online Resources 754 29 Analysis of Complex Health Survey Data 755 Stanislav Kolenikov and Jeff Pitblado 29.1 Introduction 755 29.2 Inference with Complex Survey Data 760 29.3 Substantive Analyses 784 29.4 Quality Control Analyses 795 29.5 Discussion 798 References 798 Online Resources 804 Index 805

Product Details

  • publication date: 30/12/2014
  • ISBN13: 9781118002322
  • Format: Hardback
  • Number Of Pages: 840
  • ID: 9781118002322
  • weight: 1266
  • ISBN10: 1118002326

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