Handbook of Health Survey Methods
Handbook of Health Survey Methods
Editor/Author
Johnson, Timothy P.
Publication Year: 2015
Publisher: Wiley
Single-User Purchase Price:
$150.00

Unlimited-User Purchase Price:
$225.00
ISBN: 978-1-11-800232-2
Category: Health & Medicine - Health
Image Count:
51
Book Status: Available
Table of Contents
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.
Table of Contents
- List of Contributors
- Preface
- Acknowledgments
- 1 Origins and Development of Health Survey Methods - Timothy P. Johnson
- 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 I Design and Sampling Issues
- 2 Sampling For Community Health Surveys - Michael P. Battaglia
- 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,
- 3 Developing a Survey Sample Design for Population-Based Case—Control Studies - Ralph DiGaetano
- 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,
- 4 Sampling Rare Populations - James Wagner and Sunghee Lee
- 4.1 Introduction,
- 4.2 Traditional Probability Sampling Approaches,
- 4.3 Nontraditional and Nonprobability Sampling Approaches,
- 4.4 Conclusion,
- References,
- Online Resources,
- PART II Design and Measurement Issues
- 5 Assessing Physical Health - Todd Rockwood
- 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,
- 6 Developing and Selecting Mental Health Measures - Ronald C. Kessler and Beth-Ellen Pennell
- 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,
- 7 Developing Measures of Health Behavior and Health Service Utilization - Paul Beatty
- 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,
- 8 Self-Rated Health in Health Surveys - Sunghee Lee
- 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,
- 9 Pretesting of Health Survey Questionnaires: Cognitive Interviewing, Usability Testing, and Behavior Coding - Gordon Willis
- 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,
- 10 Cross-Cultural Considerations in Health Surveys - Brad Edwards
- 10.1 Introduction,
- 10.2 Theory and Practice,
- 10.3 Conclusion,
- References,
- Online Resources,
- 11 Survey Methods for Social Network Research - Benjamin Cornwell and Emily Hoagland
- 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,
- References,
- Online Resources,
- 12 New Technologies for Health Survey Research - Joe Murphy, Elizabeth Dean, Craig A. Hill, and Ashley Richards
- 12.1 Introduction,
- 12.2 Background,
- 12.3 Theory and Applications,
- 12.4 Summary,
- References,
- Online Resources,
- PART III Field Issues
- 13 Using Survey Data to Improve Health: Community Outreach and Collaboration - Steven Whitman, Ami M. Shah, Maureen R. Benjamins, and Joseph West
- 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,
- References,
- Online Resources,
- 14 Proxy Reporting in Health Surveys - Joseph W. Sakshaug
- 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,
- 15 The Collection of Biospecimens in Health Surveys - Joseph W. Sakshaug, Mary Beth Ofstedal, Heidi Guyer, and Timothy J. Beebe
- 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,
- References,
- Online Resources,
- 16 Collecting Contextual Health Survey Data Using Systematic Observation - Shannon N. Zenk, Sandy Slater, and Safa Rashid
- 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,
- References,
- Online Resources,
- 17 Collecting Survey Data on Sensitive Topics: Substance Use - Joe Gfroerer and Joel Kennet
- 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,
- 18 Collecting Survey Data on Sensitive Topics: Sexual Behavior - Tom W. Smith
- 18.1 Introduction,
- 18.2 Sampling,
- 18.3 Nonobservation,
- 18.4 Observation/Measurement Error,
- 18.5 Summary,
- References,
- Online Resources,
- 19 Ethical Considerations in Collecting Health Survey Data - Emily E. Anderson
- 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 IV Health Surveys of Special Populations
- 20 Surveys of Physicians - Jonathan B. VanGeest, Timothy J. Beebe, and Timothy P. Johnson
- 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,
- 21 Surveys of Health Care Organizations - John D. Loft, Joe Murphy, and Craig A. Hill
- 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,
- 22 Surveys of Patient Populations - Francis Fullam and Jonathan B. VanGeest
- 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,
- 23 Surveying Sexual and Gender Minorities - Melissa A. Clark, Samantha Rosenthal, and Ulrike Boehmer
- 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,
- 24 Surveying People with Disabilities: Moving Toward Better Practices and Policies - Rooshey Hasnain, Carmit-Noa Shpigelman, Mike Scott, Jon R. Gunderson, Hadi B. Rangin, Ashmeet Oberoi, and Liam McKeever
- 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 areAccessible,
- 24.8 Summary and Conclusions,
- References,
- Online Resources,
- PART V Data Management and Analysis
- 25 Assessing the Quality of Health Survey Data Through Modern Test Theory - Adam C. Carle
- 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,
- Online Resources,
- 26 Sample Weighting for Health Surveys - Kennon R. Copeland and Nadarajasundaram Ganesh
- 26.1 Objectives of Sample Weighting,
- 26.2 Sample Weighting Stages (Probability Sample Designs),
- 26.3 Calculating Base Weights,
- 26.4 Accounting for Noncontact and Nonresponse,
- 26.5 Adjusting to Independent Population Controls,
- 26.6 SampleWeighting for Nonprobability Sample Designs,
- 26.7 Issues in Sample Weighting,
- 26.8 Estimation,
- 26.9 Variance Estimation,
- 26.10 Special Topics,
- 26.11 Example: Weighting for the 2010 National Immunization Survey,
- 26.12 Summary,
- References,
- Online Resources,
- 27 Merging Survey Data with Administrative Data for Health Research Purposes - Michael Davern, Marc Roemer, and Wendy Thomas
- 27.1 Introduction,
- 27.2 Potential Uses of Linked Data,
- 27.3 Limitations and Strengths of Survey Data,
- 27.4 Limitations and Strengths of Administrative Data,
- 27.5 A Research Agenda into Linked Data File Quality,
- 27.6 Conclusions,
- References,
- Online Resources,
- 28 Merging Survey Data with Aggregate Data from Other Sources: Opportunities and Challenges - Jarvis T. Chen
- 28.1 Background,
- 28.2 Geocoding and Linkage to Area-Based Data,
- 28.3 Geographic Levels of Aggregation,
- 28.4 Types of Area-Level Measures,
- 28.5 Sources of Aggregated Data,
- 28.6 Aggregate Data Measures as Proxies for Individual Data,
- 28.7 Aggregate Measures as Contextual Variables,
- 28.8 The Components of Ecological Bias,
- 28.9 Analytic Approaches to the Analysis of Survey Data with Linked Area-Based Measures,
- 28.10 Summary,
- References,
- Online Resources,
- 29 Analysis of Complex Health Survey Data - Stanislav Kolenikov and Jeff Pitblado
- 29.1 Introduction,
- 29.2 Inference with Complex Survey Data,
- 29.3 Substantive Analyses,
- 29.4 Quality Control Analyses,
- 29.5 Discussion,
- References,
- Online Resources,