Health Survey Methodologies And Health Statistics Techniques
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| Author | : Timothy P. Johnson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 840 |
| Release | : 2014-10-13 |
| Genre | : Medical |
| ISBN | : 1118594746 |
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.
| Author | : Edward L. Korn |
| Publisher | : John Wiley & Sons |
| Total Pages | : 408 |
| Release | : 2011-01-25 |
| Genre | : Mathematics |
| ISBN | : 1118030869 |
How to apply statistical methods to survey data--a guide toeffective analysis of health surveys. With large health surveys becoming increasingly available forpublic use, researchers with little experience in survey methodsare often faced with analyzing data from surveys to addressscientific and programmatic questions. This practical book providesstatistical techniques for use in survey analysis, making healthsurveys accessible to statisticians, biostatisticians,epidemiologists, and health researchers. The authors clearlyexplain the theory and methods of survey analysis along withreal-world applications. They draw on their work at the NationalInstitutes of Health as well as up-to-date information from acrossthe literature to present: * The sampling background necessary to understand health surveys. * The application of such techniques as t-tests, linear regression,logistic regression, and survival analysis to survey data. * The use of sample weights in survey data analysis. * Dealing with complications in variance estimation in large healthsurveys. * Applications involving cross-sectional, longitudinal, andmultiple cross-sectional surveys, and the use of surveys to performpopulation- based case-control analyses. * Guidance on the correct use of statistical methods found insoftware packages. * Extensive bibliography.
| Author | : Andrew W. Phillips |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 138 |
| Release | : 2021-04-10 |
| Genre | : Medical |
| ISBN | : 0323695922 |
Offering a practical, six-step approach to effective survey design, delivery, and analysis, Survey Methods for Medical and Health Professions Education provides a real-world framework for successful research and evaluation using surveys. Focused on medical and other health professional education research, this unique text features quick-reference checklists, high-yield explanations, and case examples throughout, making it both a foundational reference and a go-to resource for all health professions educators and researchers who use surveys. - Provides a detailed and practical discussion of the steps in survey methodology, along with just enough theory to inform common decisions. - Includes numerous real-world examples, both simple and complex, covering the wide range of problems researchers are likely to face. - Addresses issues of survey fatigue and addresses the challenge of how to get "good data." - Features "Voice of Experience" boxes—pearls based on authors' actual experiences. - Concludes each chapter with a checklist so readers can quickly ensure they have covered every necessary step of survey design and implementation. - Contains a convenient glossary of terms. - Offers guidance from expert international contributors in medical and health professions research. - Summarizes the most current standards and understanding of survey research so that experienced and novice researchers alike can directly apply content to improve research rigor.
| Author | : Greg Guest |
| Publisher | : SAGE |
| Total Pages | : 833 |
| Release | : 2015 |
| Genre | : Medical |
| ISBN | : 1452241333 |
Providing a comprehensive foundation for planning, executing, and monitoring public health research of all types, this book goes beyond traditional epidemiologic research designs to cover technology-based approaches emerging in the new public health landscape.
| Author | : Francis Yin Yee Lau |
| Publisher | : |
| Total Pages | : 487 |
| Release | : 2016-11 |
| Genre | : Medical care |
| ISBN | : 9781550586015 |
To order please visit https://onlineacademiccommunity.uvic.ca/press/books/ordering/
| Author | : World Health Organization |
| Publisher | : World Health Organization |
| Total Pages | : 72 |
| Release | : 1977 |
| Genre | : Medical |
| ISBN | : |
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 195 |
| Release | : 2018-01-27 |
| Genre | : Social Science |
| ISBN | : 0309465370 |
The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.
| Author | : Paul J. Lavrakas |
| Publisher | : SAGE Publications |
| Total Pages | : 1073 |
| Release | : 2008-09-12 |
| Genre | : Social Science |
| ISBN | : 150631788X |
To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information.
| Author | : Ian Scott |
| Publisher | : SAGE |
| Total Pages | : 252 |
| Release | : 2005-02-09 |
| Genre | : Mathematics |
| ISBN | : 9780761974765 |
Focusing on quantative approaches to investigating problems, this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.
| Author | : Statistics Canada |
| Publisher | : |
| Total Pages | : 416 |
| Release | : 2003 |
| Genre | : Mathematics |
| ISBN | : |
This publication shows readers how to design and conduct a census or sample survey. It explains basic survey concepts and provides information on how to create efficient and high quality surveys. It is aimed at those involved in planning, conducting or managing a survey and at students of survey design courses. This book contains the following information: formulating the survey objectives and design a questionnaire; things to consider when designing a survey (choosing between a sample or a census, defining the survey population, choosing which survey frame to use, possible sources of survey error); determining the sample size, allocate the sample across strata and select the sample; appropriate uses of survey data and methods of point and variance estimation in data analysis; data dissemination and disclosure control; using administrative data, particularly during the design and estimation phases; choosing a collection method (self-enumeration, personal interview or telephone interview, computer-assisted versus paper-based questionnaires); organizing and conducting data collection operations; processing data (all data handling activities between collection and estimation) and using quality control and quality assurance measures to minimize and control errors during various survey steps; and planning and managing a survey. This publication also includes a case study that illustrates the steps in developing a household survey, using the methods and principles presented in the book.
