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| Author | : G. Tyldum |
| Publisher | : Springer |
| Total Pages | : 145 |
| Release | : 2014-06-23 |
| Genre | : Social Science |
| ISBN | : 1137363614 |
This book gives a thorough introduction to the theoretical and practical aspects of planning, conducting and analysing data from Respondent Driven Sampling surveys, drawing on the experiences of experts in the field as well as pioneers that have applied Respondent Driven Sampling methodology to migrant populations.
| Author | : Roger Tourangeau |
| Publisher | : Cambridge University Press |
| Total Pages | : 675 |
| Release | : 2014-08-28 |
| Genre | : Political Science |
| ISBN | : 1107031354 |
Examines the different populations and settings that can make surveys hard to conduct and discusses methods to meet these challenges.
| 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 | : Paul Anthony Atkinson |
| Publisher | : SAGE Publications Limited |
| Total Pages | : 6000 |
| Release | : 2021-05-05 |
| Genre | : Social Science |
| ISBN | : 9781473965003 |
| Author | : Brea L. Perry |
| Publisher | : Structural Analysis in the Soc |
| Total Pages | : 371 |
| Release | : 2018-03-22 |
| Genre | : Political Science |
| ISBN | : 110713143X |
An in-depth, comprehensive and practical guide to egocentric network analysis, focusing on fundamental theoretical, research design, and analytic issues.
| Author | : Johnnie Daniel |
| Publisher | : SAGE Publications |
| Total Pages | : 321 |
| Release | : 2011-04-25 |
| Genre | : Social Science |
| ISBN | : 145222305X |
Written for students taking research methods courses, this text provides a thorough overview of sampling principles. The author gives detailed, nontechnical descriptions and guidelines with limited presentation of formulas to help students reach basic research decisions, such as whether to choose a census or a sample, as well as how to select sample size and sample type. Intended for students and researchers in the social and behavioral sciences, public health research, marketing research, and related areas, the text provides nonstatisticians with the concepts and techniques they need to do quality work and make good sampling choices.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 151 |
| Release | : 2018-08-02 |
| Genre | : Medical |
| ISBN | : 0309476097 |
The increasing diversity of population of the United States presents many challenges to conducting health research that is representative and informative. Dispersion and accessibility issues can increase logistical costs; populations for which it is difficult to obtain adequate sample size are also likely to be expensive to study. Hence, even if it is technically feasible to study a small population, it may not be easy to obtain the funding to do so. In order to address the issues associated with improving health research of small populations, the National Academies of Sciences, Engineering, and Medicine convened a workshop in January 2018. Participants considered ways of addressing the challenges of conducting epidemiological studies or intervention research with small population groups, including alternative study designs, innovative methodologies for data collection, and innovative statistical techniques for analysis.
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 191 |
| Release | : 2013-09-03 |
| Genre | : Mathematics |
| ISBN | : 0309287812 |
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
| Author | : Sunghee Lee |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : Anthropology |
| ISBN | : 9781526421036 |
This entry responds to the ever-increasing demands for data on hard-to-sample populations for which there is no practical solution for sampling. Respondent-driven sampling (RDS) first appeared in the literature in 1997 as an alternative to probability sampling methods for recruiting rare populations. Since then, RDS has attracted vast interest and applied to numerous data collection activities targeting hard-to-reach and elusive populations from migrants to drug users to commercial sex workers around the world. Despite the popularity, the premise of RDS to be a valid tool for inferences is not widely known, and the reality of RDS field work is rarely reported in the literature. This entry provides an overview of RDS as a component in data collection methods from a survey methodology point of view rather than a sampling point of view, as the latter dominates the extant literature. For doing so, it draws on the literature as well as the authors' own data collection experiences to empirically demonstrate points and offer practical options for analyzing RDS data.
