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Introduction To Survey Quality

Author: Paul P. Biemer
Publisher: John Wiley & Sons
ISBN: 0471458724
Size: 32.48 MB
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Peruse the history of survey research and the essential conceptsfor data quality. With an emphasis on total survey error, theauthors review principles and concepts in the field and examineimportant unresolved issues in survey methods. Spanning a range oftopics dealing with the quality of data collected through thesurvey process, they focus on such key issues as: Major sources of survey error, examining the origins of eacherror source most successful methods for reducing errors from thosesources Methods most often used in practice for evaluating the effectsof the source on total survey error Implications of improving survey quality for organizationalmanagement and costs

Handbook Of Health Survey Methods

Author: Timothy P. Johnson
Publisher: John Wiley & Sons
ISBN: 1118002326
Size: 37.42 MB
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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. Timothy P. Johnson, PhD, is Director of the Survey Research Laboratory and Professor of Public Administration at the University of Illinois at Chicago (UIC), where he is also Research Professor of Epidemiology and Deputy Director for Evaluation and Tracking of the UIC Center for Clinical and Translational Research. The author of numerous journal articles, Dr. Johnson is Coeditor of Survey Methods in Multicultural, Multinational, and Multiregional Contexts, also published by Wiley.

Handbook Of Survey Methodology For The Social Sciences

Author: Lior Gideon
Publisher: Springer Science & Business Media
ISBN: 1461438764
Size: 35.36 MB
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Surveys enjoy great ubiquity among data collection methods in social research: they are flexible in questioning techniques, in the amount of questions asked, in the topics covered, and in the various ways of interactions with respondents. Surveys are also the preferred method by many researchers in the social sciences due to their ability to provide quick profiles and results. Because they are so commonly used and fairly easy to administer, surveys are often thought to be easily thrown together. But designing an effective survey that yields reliable and valid results takes more than merely asking questions and waiting for the answers to arrive. Geared to the non-statistician, the Handbook of Survey Methodology in Social Sciences addresses issues throughout all phases of survey design and implementation. Chapters examine the major survey methods of data collection, providing expert guidelines for asking targeted questions, improving accuracy and quality of responses, while reducing sampling and non-sampling bias. Relying on the Total Survey Error theory, various issues of both sampling and non-sampling sources of error are explored and discussed. By covering all aspects of the topic, the Handbook is suited to readers taking their first steps in survey methodology, as well as to those already involved in survey design and execution, and to those currently in training. Featured in the Handbook: • The Total Survey Error: sampling and non-sampling errors. • Survey sampling techniques. • The art of question phrasing. • Techniques for increasing response rates • A question of ethics: what is allowed in survey research? • Survey design: face-to-face, phone, mail, e-mail, online, computer-assisted.? • Dealing with sensitive issues in surveys. • Demographics of respondents: implications for future survey research. • Dealing with nonresponse, and nonresponse bias The Handbook of Survey Methodology in Social Sciences offers how-to clarity for researchers in the social and behavioral sciences and related disciplines, including sociology, criminology, criminal justice, social psychology, education, public health, political science, management, and many other disciplines relying on survey methodology as one of their main data collection tools.

Methodology Of Longitudinal Surveys

Author: Peter Lynn
Publisher: John Wiley & Sons
ISBN: 9780470743911
Size: 60.37 MB
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Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers. Focusing on the design, implementation and analysis of longitudinal surveys, Methodology of Longitudinal Surveys discusses the current state of the art in carrying out these surveys. The book also covers issues that arise in surveys that collect longitudinal data via retrospective methods. Aimed at researchers and practitioners analyzing data from statistical surveys the book will also be suitable as supplementary reading for graduate students of survey statistics. This book: Covers all the main stages in the design, implementation and analysis of longitudinal surveys. Reviews recent developments in the field, including the use of dependent interviewing and mixed mode data collection. Discusses the state of the art in sampling, weighting and non response adjustment. Features worked examples throughout using real data. Addresses issues arising from the collection of data via retrospective methods, as well as ethical issues, confidentiality and non-response bias. Is written by an international team of contributors consisting of some of the most respected Survey Methodology experts in the field

Methodische Probleme In Der Empirischen Organisationsforschung

Author: Stefan Liebig
Publisher: Springer-Verlag
ISBN: 3658087137
Size: 43.30 MB
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Das Buch diskutiert zentrale Methoden und methodische Probleme der empirischen Organisationsforschung. In modernen Gesellschaften sind in nahezu allen Lebensbereichen Organisationen – wie z.B. Betriebe und Unternehmen, Verwaltungen, Schulen und Hochschulen, Krankenhäuser oder Vereine – von entscheidender Bedeutung. Organisationsbezogene Fragestellungen besitzen damit sowohl in der soziologischen als auch in der ökonomischen Forschung einen großen Stellenwert. Daraus resultiert nicht nur ein vermehrter Bedarf an Organisationsdaten, sondern es ergeben sich zugleich auch spezifische Fragen des methodischen Vorgehens im Rahmen von empirischen Organisationsstudien. Der vorliegende Band widmet sich diesen Fragen und dokumentiert Beiträge zum interdisziplinären Workshop an der Universität Bielefeld.

Latent Class Analysis Of Survey Error

Author: Paul P. Biemer
Publisher: John Wiley & Sons
ISBN: 9781118099575
Size: 31.72 MB
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Combining theoretical, methodological, and practical aspects,Latent Class Analysis of Survey Error successfully guides readersthrough the accurate interpretation of survey results for qualityevaluation and improvement. This book is a comprehensive resourceon the key statistical tools and techniques employed during themodeling and estimation of classification errors, featuring aspecial focus on both latent class analysis (LCA) techniques andmodels for categorical data from complex sample surveys. Drawing from his extensive experience in the field of surveymethodology, the author examines early models for surveymeasurement error and identifies their similarities and differencesas well as their strengths and weaknesses. Subsequent chapterstreat topics related to modeling, estimating, and reducing errorsin surveys, including: Measurement error modeling forcategorical data The Hui-Walter model and othermethods for two indicators The EM algorithm and its role in latentclass model parameterestimation Latent class models for three ormore indicators Techniques for interpretation of modelparameter estimates Advanced topics in LCA, including sparse data, boundary values,unidentifiability, and local maxima Special considerations for analyzing datafrom clustered andunequal probability samples with nonresponse The current state of LCA and MLCA (multilevel latent classanalysis), and an insightful discussion on areas for furtherresearch Throughout the book, more than 100 real-world examples describethe presented methods in detail, and readers are guided through theuse of lEM software to replicate the presented analyses. Appendicessupply a primer on categorical data analysis, and a related Website houses the lEM software. Extensively class-tested to ensure an accessible presentation,Latent Class Analysis of Survey Error is an excellent book forcourses on measurement error and survey methodology at the graduatelevel. The book also serves as a valuable reference for researchersand practitioners working in business, government, and the socialsciences who develop, implement, or evaluate surveys.

Survey Methodology

Author: Robert M. Groves
Publisher: John Wiley & Sons
ISBN: 9780471483489
Size: 73.44 MB
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Survey Methodology describes the basic principles of survey design discovered in methodological research over recent years and offers guidance for making successful decisions in the design and execution of high quality surveys. Written by six nationally recognized experts in the field, this book covers the major considerations in designing and conducting a sample survey

Sampling Statistics

Author: Wayne A. Fuller
Publisher: John Wiley & Sons
ISBN: 1118211111
Size: 46.49 MB
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Discover the latest developments and current practices in surveysampling Survey sampling is an important component of research in manyfields, and as the importance of survey sampling continues to grow,sophisticated sampling techniques that are both economical andscientifically reliable are essential to planning statisticalresearch and the design of experiments. Sampling Statisticspresents estimation techniques and sampling concepts to facilitatethe application of model-based procedures to survey samples. The book begins with an introduction to standard probabilitysampling concepts, which provides the foundation for studyingsamples selected from a finite population. The development of thetheory of complex sampling methods is detailed, and subsequentchapters explore the construction of estimators, sample design,replication variance estimation, and procedures such as nonresponseadjustment and small area estimation where models play a key role.A final chapter covers analytic studies in which survey data areused for the estimation of parameters for a subject mattermodel. The author draws upon his extensive experience with surveysamples in the book's numerous examples. Both the production of"general use" databases and the analytic study of a limited numberof characteristics are discussed. Exercises at the end of eachchapter allow readers to test their comprehension of the presentedconcepts and techniques, and the references provide furtherresources for study. Sampling Statistics is an ideal book for courses insurvey sampling at the graduate level. It is also a valuablereference for practicing statisticians who analyze survey data orare involved in the design of sample surveys.

The Sage Handbook Of Survey Methodology

Author: Christof Wolf
Publisher: SAGE
ISBN: 1473959055
Size: 13.61 MB
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Survey Methodology is becoming a more structured field of research, deserving of more and more academic attention. The SAGE Handbook of Survey Methodology explores both the increasingly scientific endeavour of surveys and their growing complexity, as different data collection modes and information sources are combined. The handbook takes a global approach, with a team of international experts looking at local and national specificities, as well as problems of cross-national, comparative survey research. The chapters are organized into seven major sections, each of which represents a stage in the survey life-cycle: Surveys and Societies Planning a Survey Measurement Sampling Data Collection Preparing Data for Use Assessing and Improving Data Quality The SAGE Handbook of Survey Methodology is a landmark and essential tool for any scholar within the social sciences.

Telephone Survey Methodology

Author: Robert M. Groves
Publisher: John Wiley & Sons
ISBN: 9780471209560
Size: 16.58 MB
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Noted survey experts present recent developments in telephone survey techniques from around the world, describing work in commercial settings, academic research, and governmental statistical agencies. There are reports from the United States, several European countries, and Australia on trends in coverage of household populations, effects due to mode of data collection, and the state of the art in technology. Also covered are choice of target population, sample design, questionnaire construction, interviewing techniques, measurement error issues, nonresponse characteristics, administrative issues, and the use of Computer Assisted Telephone Interviewing (CATI). Includes in-depth reviews of the literature.