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Handbook of health survey methods /
A comprehensive guidebook to the currentmethodologies and practices used in health surveysA 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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley,
[2014]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Handbook of health survey methods / |c edited by Timothy P. Johnson. |
| 264 | 1 | |a Hoboken, New Jersey : |b Wiley, |c [2014] | |
| 300 | |a 1 online resource (xxiii, 816 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 520 | |a A comprehensive guidebook to the currentmethodologies and practices used in health surveysA 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 psychologyHandbook 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. | ||
| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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 -- 25.6 Multiple Group Multiple Indicator Multiple Cause Models -- 25.7 Additional Challenges to Health Survey Data Quality -- 25.8 Overall Conclusion -- References. | |
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| 700 | 1 | |a Johnson, Timothy P., |e editor. | |
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