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Beschreibung

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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Seitenzahl: 1697

Veröffentlichungsjahr: 2014

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Table of Contents

Cover

Series

Title Page

Copyright

List of Contributors

Preface

Acknowledgments

Chapter One: Origins and Development of Health Survey Methods

1.1 Introduction

1.2 Precursors of Modern Health Surveys

1.3 The First Modern Health Surveys

1.4 The Emergence of National Health Surveys

1.5 Post-WWII Advances

1.6 Current Developments

References

Online Resources

Part One: Design and Sampling Issues

Chapter Two: Sampling For Community Health Surveys

2.1 Introduction

2.2 Background

2.3 Theory and Applications

2.4 Subpopulation Surveys

2.5 Sample Size Considerations

2.6 Summary

References

Online Resources

Chapter Three: Developing a Survey Sample Design for Population-Based Case–Control Studies

3.1 Introduction

3.2 A “Classic” Sample Design for a Population-Based Case–Control Study

3.3 Sample Design Concepts and Issues Related to Case–Control Studies

3.4 Basic Sample Design Considerations

3.5 Sample Selection of Cases

3.6 Sample Selection of Controls

3.7 Sample Weighting for Population-Based Case–Control Studies

3.8 The Need to Account for Analytic Plans When Developing a Sample Design: An Example

3.9 Sample Designs for Population-Based Case–Control Studies: When Unweighted Analyses Are Planned

3.10 Mimicking the Classic Design Using RDD-Based Sampling of Population-Based Controls

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

3.12 Summary

References

Online Resources

Chapter Four: Sampling Rare Populations

4.1 Introduction

4.2 Traditional Probability Sampling Approaches

4.3 Nontraditional and Nonprobability Sampling Approaches

4.4 Conclusion

References

Online Resources

Part Two: Design and Measurement Issues

Chapter Five: Assessing Physical Health

5.1 Introduction

5.2 Assessing Health: Response Formation and Accuracy

5.3 Conceptual Framework for Developing and Assessing Health

5.4 Measurement Theory

5.5 Error and Methodology

5.6 Conclusion

References

Online Resources

Chapter Six: Developing and Selecting Mental Health Measures

6.1 Introduction

6.2 Historical Background

6.3 Fully Structured Diagnostic Interviews

6.4 Dimensional Measures of Symptom Severity

6.5 Emerging Issues in Survey Assessments of Mental Disorders

6.6 Conclusion

References

Online Resources

Chapter Seven: Developing Measures of Health Behavior and Health Service Utilization

7.1 Introduction

7.2 The Conceptual Phase of Questionnaire Development

7.3 Development of Particular Questions

7.4 Overall Questionnaire Construction

7.5 Questionnaire Testing and Evaluation

7.6 Using Questions from Previously Administered Questionnaires

7.7 Conclusion

References

Online Resources

Chapter Eight: Self-Rated Health in Health Surveys

8.1 Introduction

8.2 Utility of Self-Rated Health

8.3 Theoretical Evidence: Cognitive Processes Pertinent to Responding to SRH in Surveys

8.4 Measurement Issues for Self-Rated Health

8.5 Conclusion

References

Online Resources

Chapter Nine: Pretesting of Health Survey Questionnaires: Cognitive Interviewing, Usability Testing, and Behavior Coding

9.1 Introduction

9.2 Historical Background and Theory of Pretesting

9.3 Cognitive Interviewing

9.4 Usability Testing

9.5 Behavior Coding

9.6 Summary

References

Online Resources

Chapter Ten: Cross-Cultural Considerations in Health Surveys

10.1 Introduction

10.2 Theory and Practice

10.3 Conclusion

References

Online Resources

Chapter Eleven: Survey Methods for Social Network Research

11.1 Introduction

11.2 Respondents as Social Network Informants

11.3 Whole, Egocentric, and Mixed Designs

11.4 Name Generators

11.5 Free Versus Fixed Choice

11.6 Name Interpreters

11.7 Social Network Measures

11.8 Other Approaches to Collecting Network-Like Data

11.9 Modes of Data Collection and Survey Logistics

11.10 Avoiding Endogeneity in Survey-Based Network Data

11.11 Selection Issues

11.12 New Directions: Measuring Social Network Dynamics

11.13 Further Reading

Acknowledgments

References

Online Resources

Chapter Twelve: New Technologies for Health Survey Research

12.1 Introduction

12.2 Background

12.3 Theory and Applications

12.4 Summary

References

Online Resources

Part Three: Field Issues

Chapter Thirteen: Using Survey Data to Improve Health: Community Outreach and Collaboration

13.1 Introduction

13.2 Our Motivation

13.3 Our Process

13.4 A Few Findings

13.5 Case Studies of Community Engagement

13.6 Some Lessons Learned

Acknowledgments

References

Online Resources

Chapter fourteen: Proxy Reporting in Health Surveys

14.1 Introduction

14.2 Background

14.3 Proxy Interviews for Children

14.4 Proxy Interviews for the Elderly

14.5 Proxy Interviews for the Disabled

14.6 Summary

References

Online Resources

Chapter fifteen: The Collection of Biospecimens in Health Surveys

15.1 Introduction

15.2 Background

15.3 Biomeasure Selection

15.4 Methodological and Operational Considerations

15.5 Quality Control

15.6 Ethical and Legal Considerations

15.7 Methods of Data Dissemination

15.8 Summary

Acknowledgments

References

Online Resources

Chapter Sixteen: Collecting Contextual Health Survey Data Using Systematic Observation

16.1 Introduction

16.2 Background

16.3 Data Collection

16.4 Reliability and Validity Assessment

16.5 Data Analysis

16.6 Theory and Applications

16.7 BTG-COMP: Evaluating the Impact of the Built Environment on Adolescent Obesity

16.8 Evaluating the Impact of a Policy Change on the Retail Fruit and Vegetable Supply

16.9 Summary

Acknowledgments

References

Online Resources

Chapter Seventeen: Collecting Survey Data on Sensitive Topics: Substance Use

17.1 Introduction

17.2 Background

17.3 Theory and Applications

17.4 Validation

17.5 Alternative Estimation Methods

17.6 Summary

References

Online Resources

Chapter Eighteen: Collecting Survey Data on Sensitive Topics: Sexual Behavior

18.1 Introduction

18.2 Sampling

18.3 Nonobservation

18.4 Observation/Measurement Error

18.5 Summary

References

Online Resources

Chapter Nineteen: Ethical Considerations in Collecting Health Survey Data

19.1 Introduction

19.2 Background: Ethical Principles and Federal Regulations for Research

19.3 Defining, Evaluating, and Minimizing Risk

19.4 Ethical Review of Health Survey Research

19.5 Informed Consent for Survey Participation

19.6 Considerations for Data Collection

19.7 Summary

References

Online Resources

Part Four: Health Surveys of Special Populations

Chapter Twenty: Surveys of Physicians

20.1 Introduction

20.2 Why Physicians do not Respond

20.3 Theory and Applications: Improving Physician Participation

20.4 Sampling

20.5 Design-Based Interventions to Improve Response

20.6 Incentive-Based Interventions

20.7 Supporting Evidence from Other Health Professions

20.8 Conclusion

References

Online Resources

Chapter Twenty One: Surveys of Health Care Organizations

21.1 Introduction

21.2 Examples of Health Care Organizations Surveys

21.3 Surveys of Health Care Organizations as Establishment Surveys

21.4 Conclusions

References

Online Resources

Chapter Twenty Two: Surveys of Patient Populations

22.1 Introduction

22.2 Patients and Care Settings

22.3 Overview of Common Patient Survey Methodologies

22.4 Key Issues in Patient Survey Design and Administration

22.5 Strategies for Developing Effective Patient Surveys

22.6 Conclusion

References

Online Resources

Chapter Twenty Three: Surveying Sexual and Gender Minorities

23.1 Introduction

23.2 Prevalence Estimates of Sexual and Gender Minorities

23.3 Sampling and Recruitment

23.4 Data Collection

23.5 Conclusions

References

Online Resources

Chapter Twenty Four: Surveying People with Disabilities: Moving Toward Better Practices and Policies

24.1 Introduction

24.2 Setting a Foundation: The Importance of Inclusion for Web-Based Surveys

24.3 Promoting Participation with Web Accessibility

24.4 Testing the Accessibility of Some Web-Based Survey Tools

24.5 Ensuring Web Accessibility at Various Levels of Disability

24.6 Problems Posed By Inaccessible Web-Based Surveys for People with Disabilities

24.7 Applications: How to Ensure that Web-Based Surveys are Accessible

24.8 Summary and Conclusions

References

Online Resources

Part Five: Data Management and Analysis

Chapter Twenty Five: Assessing the Quality of Health Survey Data Through Modern Test Theory

25.1 Introduction

25.2 Internal Validity and Dimensionality

25.3 Dimensionality and Bifactor Model Example

25.4 Dimensionality Discussion

25.5 Measurement Bias

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