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Handbook of Health Survey Methods


Handbook of Health Survey Methods


Wiley Handbooks in Survey Methodology 1. Aufl.

von: Timothy P. Johnson

136,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 29.10.2014
ISBN/EAN: 9781118594605
Sprache: englisch
Anzahl Seiten: 840

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Beschreibungen

<p><b>A comprehensive guidebook to the current methodologies and practices used in health surveys</b><b><br /> <br /> </b>A unique and self-contained resource, <i>Handbook of Health Survey Methods</i> 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.<br /> <br /> 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 <i>Handbook of Health Survey Methods</i> features:<br /> <br /> </p> <ul> <li>29 methodological chapters written by highly qualified experts in academia, research, and industry</li> <li>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</li> <li>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</li> <li>Numerous real-world examples from the latest research in the fields of public health, biomedicine, and health psychology</li> </ul> <i><br /> Handbook of Health Survey Methods</i> 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.<br />
<p>List of Contributors xvii</p> <p>Preface xxi</p> <p>Acknowledgments xxiii</p> <p><b>1 Origins and Development of Health Survey Methods 1<br /></b><i>Timothy P. Johnson</i></p> <p>1.1 Introduction 1</p> <p>1.2 Precursors of Modern Health Surveys 1</p> <p>1.3 The First Modern Health Surveys 4</p> <p>1.4 The Emergence of National Health Surveys 5</p> <p>1.5 Post-WWII Advances 6</p> <p>1.6 Current Developments 7</p> <p>References 9</p> <p>Online Resources 17</p> <p><b>Part I Design and Sampling Issues<br /></b><b><br />2 Sampling For Community Health Surveys 21<br /></b><i>Michael P. Battaglia</i></p> <p>2.1 Introduction 21</p> <p>2.2 Background 22</p> <p>2.3 Theory and Applications 24</p> <p>2.4 Subpopulation Surveys 30</p> <p>2.5 Sample Size Considerations 32</p> <p>2.6 Summary 32</p> <p>References 33</p> <p>Online Resources 34</p> <p><b>3 Developing a Survey Sample Design for Population-Based Case–Control Studies 37<br /></b><i>Ralph DiGaetano</i></p> <p>3.1 Introduction 37</p> <p>3.2 A “Classic” Sample Design for a Population-Based Case–Control Study 39</p> <p>3.3 Sample Design Concepts and Issues Related to Case–Control Studies 40</p> <p>3.4 Basic Sample Design Considerations 49</p> <p>3.5 Sample Selection of Cases 56</p> <p>3.6 Sample Selection of Controls 57</p> <p>3.7 Sample Weighting for Population-Based Case–Control Studies 62</p> <p>3.8 The Need to Account for Analytic Plans When Developing a Sample Design: An Example 65</p> <p>3.9 Sample Designs for Population-Based Case–Control Studies: When Unweighted Analyses Are Planned 66</p> <p>3.10 Mimicking the Classic Design Using RDD-Based Sampling of Population-Based Controls 66</p> <p>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</p> <p>3.12 Summary 71</p> <p>References 71</p> <p>Online Resources 75</p> <p><b>4 Sampling Rare Populations 77<br /></b><i>James Wagner and Sunghee Lee</i></p> <p>4.1 Introduction 77</p> <p>4.2 Traditional Probability Sampling Approaches 80</p> <p>4.3 Nontraditional and Nonprobability Sampling Approaches 84</p> <p>4.4 Conclusion 95</p> <p>References 97</p> <p>Online Resources 103</p> <p><b>Part II Design and Measurement Issues</b></p> <p><b>5 Assessing Physical Health 107<br /></b><i>Todd Rockwood</i></p> <p>5.1 Introduction 107</p> <p>5.2 Assessing Health: Response Formation and Accuracy 110</p> <p>5.3 Conceptual Framework for Developing and Assessing Health 118</p> <p>5.4 Measurement Theory 124</p> <p>5.5 Error and Methodology 129</p> <p>5.6 Conclusion 132</p> <p>References 134</p> <p>Online Resources 141</p> <p><b>6 Developing and Selecting Mental Health Measures 143<br /></b><i>Ronald C. Kessler and Beth-Ellen Pennell</i></p> <p>6.1 Introduction 143</p> <p>6.2 Historical Background 144</p> <p>6.3 Fully Structured Diagnostic Interviews 147</p> <p>6.4 Dimensional Measures of Symptom Severity 148</p> <p>6.5 Emerging Issues in Survey Assessments of Mental Disorders 156</p> <p>6.6 Conclusion 159</p> <p>References 159</p> <p>Online Resources 169</p> <p><b>7 Developing Measures of Health Behavior and Health Service Utilization 171<br /></b><i>Paul Beatty</i></p> <p>7.1 Introduction 171</p> <p>7.2 The Conceptual Phase of Questionnaire Development 172</p> <p>7.3 Development of Particular Questions 173</p> <p>7.4 Overall Questionnaire Construction 184</p> <p>7.5 Questionnaire Testing and Evaluation 186</p> <p>7.6 Using Questions from Previously Administered Questionnaires 187</p> <p>7.7 Conclusion 187</p> <p>References 188</p> <p>Online Resources 190</p> <p><b>8 Self-Rated Health in Health Surveys 193<br /></b><i>Sunghee Lee</i></p> <p>8.1 Introduction 193</p> <p>8.2 Utility of Self-Rated Health 195</p> <p>8.3 Theoretical Evidence: Cognitive Processes Pertinent to Responding to SRH in Surveys 198</p> <p>8.4 Measurement Issues for Self-Rated Health 201</p> <p>8.5 Conclusion 206</p> <p>References 207</p> <p>Online Resources 216</p> <p><b>9 Pretesting of Health Survey Questionnaires: Cognitive Interviewing Usability Testing and Behavior Coding 217<br /></b><i>Gordon Willis</i></p> <p>9.1 Introduction 217</p> <p>9.2 Historical Background and Theory of Pretesting 218</p> <p>9.3 Cognitive Interviewing 220</p> <p>9.4 Usability Testing 229</p> <p>9.5 Behavior Coding 232</p> <p>9.6 Summary 236</p> <p>References 238</p> <p>Online Resources 241</p> <p><b>10 Cross-Cultural Considerations in Health Surveys 243<br /></b><i>Brad Edwards</i></p> <p>10.1 Introduction 243</p> <p>10.2 Theory and Practice 255</p> <p>10.3 Conclusion 266</p> <p>References 266</p> <p>Online Resources 274</p> <p><b>11 Survey Methods for Social Network Research 275<br /></b><i>Benjamin Cornwell and Emily Hoagland</i></p> <p>11.1 Introduction 275</p> <p>11.2 Respondents as Social Network Informants 277</p> <p>11.3 Whole, Egocentric, and Mixed Designs 277</p> <p>11.4 Name Generators 282</p> <p>11.5 Free Versus Fixed Choice 286</p> <p>11.6 Name Interpreters 287</p> <p>11.7 Social Network Measures 288</p> <p>11.8 Other Approaches to Collecting Network-Like Data 292</p> <p>11.9 Modes of Data Collection and Survey Logistics 295</p> <p>11.10 Avoiding Endogeneity in Survey-Based Network Data 296</p> <p>11.11 Selection Issues 300</p> <p>11.12 New Directions: Measuring Social Network Dynamics 301</p> <p>11.13 Further Reading 304</p> <p>References 304</p> <p>Online Resources 312</p> <p><b>12 New Technologies for Health Survey Research 315<br /></b><i>Joe Murphy, Elizabeth Dean, Craig A. Hill, and Ashley Richards</i></p> <p>12.1 Introduction 315</p> <p>12.2 Background 316</p> <p>12.3 Theory and Applications 318</p> <p>12.4 Summary 329</p> <p>References 331</p> <p>Online Resources 337</p> <p><b>Part III Field Issues</b></p> <p><b>13 Using Survey Data to Improve Health: Community Outreach and Collaboration 341<br /></b><i>Steven Whitman, Ami M. Shah, Maureen R. Benjamins, and </i><i>Joseph West</i></p> <p>13.1 Introduction 341</p> <p>13.2 Our Motivation 342</p> <p>13.3 Our Process 343</p> <p>13.4 A Few Findings 344</p> <p>13.5 Case Studies of Community Engagement 349</p> <p>13.6 Some Lessons Learned 361</p> <p>References 363</p> <p>Online Resources 365</p> <p><b>14 Proxy Reporting in Health Surveys 367<br /></b><i>Joseph W. Sakshaug</i></p> <p>14.1 Introduction 367</p> <p>14.2 Background 367</p> <p>14.3 Proxy Interviews for Children 370</p> <p>14.4 Proxy Interviews for the Elderly 372</p> <p>14.5 Proxy Interviews for the Disabled 374</p> <p>14.6 Summary 375</p> <p>References 376</p> <p>Online Resources 381</p> <p><b>15 The Collection of Biospecimens in Health Surveys 383<br /></b><i>Joseph W. Sakshaug, Mary Beth, Ofstedal Heidi Guyer, and Timothy J. Beebe</i></p> <p>15.1 Introduction 383</p> <p>15.2 Background 384</p> <p>15.3 Biomeasure Selection 387</p> <p>15.4 Methodological and Operational Considerations 397</p> <p>15.5 Quality Control 402</p> <p>15.6 Ethical and Legal Considerations 408</p> <p>15.7 Methods of Data Dissemination 411</p> <p>15.8 Summary 412</p> <p>References 413</p> <p>Online Resources 419</p> <p><b>16 Collecting Contextual Health Survey Data Using Systematic Observation 421<br /></b><i>Shannon N. Zenk, Sandy Slater, and Safa Rashid</i></p> <p>16.1 Introduction 421</p> <p>16.2 Background 423</p> <p>16.3 Data Collection 426</p> <p>16.4 Reliability and Validity Assessment 429</p> <p>16.5 Data Analysis 432</p> <p>16.6 Theory and Applications 432</p> <p>16.7 BTG-COMP: Evaluating the Impact of the Built Environment on Adolescent Obesity 432</p> <p>16.8 Evaluating the Impact of a Policy Change on the Retail Fruit and Vegetable Supply 436</p> <p>16.9 Summary 440</p> <p>References 441</p> <p>Online Resources 445</p> <p><b>17 Collecting Survey Data on Sensitive Topics: Substance Use 447<br /></b><i>Joe Gfroerer and Joel Kennet</i></p> <p>17.1 Introduction 447</p> <p>17.2 Background 448</p> <p>17.3 Theory and Applications 450</p> <p>17.4 Validation 463</p> <p>17.5 Alternative Estimation Methods 464</p> <p>17.6 Summary 466</p> <p>References 467</p> <p>Online Resources 472</p> <p><b>18 Collecting Survey Data on Sensitive Topics: Sexual Behavior 473<br /></b><i>Tom W. Smith</i></p> <p>18.1 Introduction 473</p> <p>18.2 Sampling 474</p> <p>18.3 Nonobservation 475</p> <p>18.4 Observation/Measurement Error 475</p> <p>18.5 Summary 479</p> <p>References 479</p> <p>Online Resources 485</p> <p><b>19 Ethical Considerations in Collecting Health Survey Data 487<br /></b><i>Emily E. Anderson</i></p> <p>19.1 Introduction 487</p> <p>19.2 Background: Ethical Principles and Federal Regulations for Research 488</p> <p>19.3 Defining, Evaluating, and Minimizing Risk 491</p> <p>19.4 Ethical Review of Health Survey Research 497</p> <p>19.5 Informed Consent for Survey Participation 500</p> <p>19.6 Considerations for Data Collection 504</p> <p>19.7 Summary 505</p> <p>References 506</p> <p>Online Resources 510</p> <p><b>Part IV Health Surveys of Special Populations</b></p> <p><b>20 Surveys of Physicians 515<br /></b><i>Jonathan B. VanGeest, Timothy J. Beebe, and Timothy P. Johnson</i></p> <p>20.1 Introduction 515</p> <p>20.2 Why Physicians do not Respond 517</p> <p>20.3 Theory and Applications: Improving Physician Participation 518</p> <p>20.4 Sampling 518</p> <p>20.5 Design-Based Interventions to Improve Response 523</p> <p>20.6 Incentive-Based Interventions 530</p> <p>20.7 Supporting Evidence from Other Health Professions 532</p> <p>20.8 Conclusion 533</p> <p>References 534</p> <p>Online Resources 543</p> <p><b>21 Surveys of Health Care Organizations 545<br /></b><i>John D. Loft, Joe Murphy, and Craig A. Hill</i></p> <p>21.1 Introduction 545</p> <p>21.2 Examples of Health Care Organizations Surveys 548</p> <p>21.3 Surveys of Health Care Organizations as Establishment Surveys 548</p> <p>21.4 Conclusions 556</p> <p>References 558</p> <p>Online Resources 560</p> <p><b>22 Surveys of Patient Populations 561<br /></b><i>Francis Fullam and Jonathan B. VanGeest</i></p> <p>22.1 Introduction 561</p> <p>22.2 Patients and Care Settings 563</p> <p>22.3 Overview of Common Patient Survey Methodologies 564</p> <p>22.4 Key Issues in Patient Survey Design and Administration 565</p> <p>22.5 Strategies for Developing Effective Patient Surveys 570</p> <p>22.6 Conclusion 573</p> <p>References 574</p> <p>Online Resources 583</p> <p><b>23 Surveying Sexual and Gender Minorities 585<br /></b><i>Melissa A. Clark, Samantha Rosenthal, and Ulrike Boehmer</i></p> <p>23.1 Introduction 585</p> <p>23.2 Prevalence Estimates of Sexual and Gender Minorities 592</p> <p>23.3 Sampling and Recruitment 597</p> <p>23.4 Data Collection 606</p> <p>23.5 Conclusions 608</p> <p>References 609</p> <p>Online Resources 617</p> <p><b>24 Surveying People with Disabilities: Moving Toward Better Practices and Policies 619<br /></b><i>Rooshey Hasnain, Carmit-Noa Shpigelman, Mike Scott, Jon R. Gunderson, Hadi B. Rangin, Ashmeet Oberoi, and Liam McKeever</i></p> <p>24.1 Introduction 620</p> <p>24.2 Setting a Foundation:The Importance of Inclusion for Web-Based Surveys 623</p> <p>24.3 Promoting Participation with Web Accessibility 624</p> <p>24.4 Testing the Accessibility of Some Web-Based Survey Tools 626</p> <p>24.5 Ensuring Web Accessibility at Various Levels of Disability 629</p> <p>24.6 Problems Posed By Inaccessible Web-Based Surveys for People with Disabilities 633</p> <p>24.7 Applications: How to Ensure that Web-Based Surveys are Accessible 634</p> <p>24.8 Summary and Conclusions 637</p> <p>References 638</p> <p>Online Resources 641</p> <p><b>Part V Data Management and Analysis</b></p> <p><b>25 Assessing the Quality of Health Survey Data Through Modern Test Theory 645<br /></b><i>Adam C. Carle</i></p> <p>25.1 Introduction 645</p> <p>25.2 Internal Validity and Dimensionality 647</p> <p>25.3 Dimensionality and Bifactor Model Example 650</p> <p>25.4 Dimensionality Discussion 652</p> <p>25.5 Measurement Bias 653</p> <p>25.6 Multiple Group Multiple Indicator Multiple Cause Models 655</p> <p>25.7 Additional Challenges to Health Survey Data Quality 664</p> <p>25.8 Overall Conclusion 664</p> <p>References 665</p> <p>Online Resources 667</p> <p><b>26 Sample Weighting for Health Surveys 669<br /></b><i>Kennon R. Copeland and Nadarajasundaram Ganesh</i></p> <p>26.1 Objectives of Sample Weighting 669</p> <p>26.2 Sample Weighting Stages (Probability Sample Designs) 670</p> <p>26.3 Calculating Base Weights 671</p> <p>26.4 Accounting for Noncontact and Nonresponse 672</p> <p>26.5 Adjusting to Independent Population Controls 677</p> <p>26.6 SampleWeighting for Nonprobability Sample Designs 680</p> <p>26.7 Issues in Sample Weighting 680</p> <p>26.8 Estimation 682</p> <p>26.9 Variance Estimation 683</p> <p>26.10 Special Topics 683</p> <p>26.11 Example: Weighting for the 2010 National Immunization Survey 685</p> <p>26.12 Summary 692</p> <p>References 692</p> <p>Online Resources 694</p> <p><b>27 Merging Survey Data with Administrative Data for Health Research Purposes 695<br /></b><i>Michael Davern Marc Roemer and Wendy Thomas</i></p> <p>27.1 Introduction 695</p> <p>27.2 Potential Uses of Linked Data 696</p> <p>27.3 Limitations and Strengths of Survey Data 699</p> <p>27.4 Limitations and Strengths of Administrative Data 700</p> <p>27.5 A Research Agenda into Linked Data File Quality 701</p> <p>27.6 Conclusions 712</p> <p>References 713</p> <p>Online Resources 716</p> <p><b>28 Merging Survey Data with Aggregate Data from Other Sources: Opportunities and Challenges 717<br /></b><i>Jarvis T. Chen</i></p> <p>28.1 Background 717</p> <p>28.2 Geocoding and Linkage to Area-Based Data 719</p> <p>28.3 Geographic Levels of Aggregation 720</p> <p>28.4 Types of Area-Level Measures 723</p> <p>28.5 Sources of Aggregated Data 724</p> <p>28.6 Aggregate Data Measures as Proxies for Individual Data 730</p> <p>28.7 Aggregate Measures as Contextual Variables 731</p> <p>28.8 The Components of Ecological Bias 732</p> <p>28.9 Analytic Approaches to the Analysis of Survey Data with Linked Area-Based Measures 742</p> <p>28.10 Summary 746</p> <p>References 748</p> <p>Online Resources 754</p> <p><b>29 Analysis of Complex Health Survey Data 755<br /></b><i>Stanislav Kolenikov and Jeff Pitblado</i></p> <p>29.1 Introduction 755</p> <p>29.2 Inference with Complex Survey Data 760</p> <p>29.3 Substantive Analyses 784</p> <p>29.4 Quality Control Analyses 795</p> <p>29.5 Discussion 798</p> <p>References 798</p> <p>Online Resources 804</p> <p>Index 805</p>
<p>“The extensive and analytical coverage will make the book an extremely valuable resource: the new handbook will certainly emerge as essential reading for anyone deals with health surveys.”  (<i>Ann Ist Super Sanità</i>, 1 October 2015)</p>
<p><b>Timothy P. Johnson, PhD</b>, is Director of the Survey Research Laboratory and Professor of Public Administration at the University of Illinois at Chicago (UIC). The author of numerous journal articles, Dr. Johnson is Coeditor of <i>Survey Methods in Multicultural, Multinational, and Multiregional Contexts,</i> also published by Wiley.
<p><b>A comprehensive guidebook to the current methodologies and practices used in health surveys</b> <p>A unique and self-contained resource, <i>Handbook of Health Survey Methods</i> 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. <p>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. <i>The Handbook of Health Survey Methods</i> features: <ul> <li>29 methodological chapters written by highly qualified experts in academia, research, and industry</li> <li>A treatment of the best statistical practices and specific methodologies for collecting data from special po ulations such as sexual minorities, persons with disabilities, patients, and practitioners</li> <li>Discussions on issues specific to health research including developing physical health and mental healt 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</li> <li>Numerous real-world examples from the latest research in the fields of public health, biomedicine, an health psychology</li> </ul> <p><i>Handbook of Health Survey Methods</i> 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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