Sampling Theory and Practice, Wu Changbao, Thompson Mary E.
Автор: Asaph Young Chun Название: Administrative Records for Survey Methodology ISBN: 1119272041 ISBN-13(EAN): 9781119272045 Издательство: Wiley Рейтинг: Цена: 105550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Featuring contributions from well-known international experts, this book addresses the methodological issues involved in administrative data research as well as the various concerns users face with administrative records such as issues of privacy, confidentiality, and legality. The book illustrates numerous real-world examples of administrative data research from various countries, culminating in a comprehensive guide to administrative data in statistical surveys. This historical and international perspective provides readers with a better understanding of the practical applications and approaches needed for improving the quality of surveys, controlling the cost of survey data collection, and integrating administrative data with other data obtained from surveys and censuses. This book also features detailed coverage on the advanced statistical techniques for the control of data quality and reduction in total survey error. The first part of the book focuses on the theory of total administrative records error and provides relevant practices case studies tied to the survey life-cycle, while the second part of the book features the technical issues of processing and linking administrative data with multiple sources of data in multimode data collection. Bayesian approaches are linked to real-world applications for the use of administrative data in surveys and censuses over the survey life cycle, and the relevance of how these cutting-edge techniques can affect administrative records research is illustrated in key sectors of health, economy, and education. In addition, these technological and statistical innovations are used to advance the systematic integration of administrative data, improve the survey frame, reduce nonresponse follow-up, and assess coverage error. Topical coverage includes: pandata systems to enhance survey and census systems; integration of survey and administrative data for statistical purposes; evaluation of the quality of administrative data; measurement of data quality in register-based statistics; cleaning and using administrative lists; assessing uncertainty; record linkage and assessment of date in health sciences; methods to improve small area estimation; administrative records for imputing nonresponse; Bayesian use of administrative records around census life cycle; use of administrative data in official statistics; application of administrative data in health science; using linking survey and administrative data to improve economic surveys; and administrative sources for censuses with demographic and social statistics.
Автор: Peter Lynn Название: Advances in Longitudinal Survey Methodology ISBN: 1119376939 ISBN-13(EAN): 9781119376934 Издательство: Wiley Рейтинг: Цена: 93930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Advances in Longitudinal Survey Methodology
Explore an up-to-date overview of best practices in the implementation of longitudinal surveys from leading experts in the field of survey methodology
Advances in Longitudinal Survey Methodology delivers a thorough review of the most current knowledge in the implementation of longitudinal surveys. The book provides a comprehensive overview of the many advances that have been made in the field of longitudinal survey methodology over the past fifteen years, as well as extending the topic coverage of the earlier volume, "Methodology of Longitudinal Surveys", published in 2009. This new edited volume covers subjects like dependent interviewing, interviewer effects, panel conditioning, rotation group bias, measurement of cognition, and weighting.
New chapters discussing the recent shift to mixed-mode data collection and obtaining respondents' consent to data linkage add to the book's relevance to students and social scientists seeking to understand modern challenges facing data collectors today. Readers will also benefit from the inclusion of:
A thorough introduction to refreshment sampling for longitudinal surveys, including consideration of principles, sampling frame, sample design, questionnaire design, and frequency
An exploration of the collection of biomarker data in longitudinal surveys, including detailed measurements of ill health, biological pathways, and genetics in longitudinal studies
An examination of innovations in participant engagement and tracking in longitudinal surveys, including current practices and new evidence on internet and social media for participant engagement.
An invaluable source for post-graduate students, professors, and researchers in the field of survey methodology, Advances in Longitudinal Survey Methodology will also earn a place in the libraries of anyone who regularly works with or conducts longitudinal surveys and requires a one-stop reference for the latest developments and findings in the field.
Автор: Zhang Li-Chun Название: Graph Sampling ISBN: 103206708X ISBN-13(EAN): 9781032067087 Издательство: Taylor&Francis Рейтинг: Цена: 53070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Graph Sampling can primarily be used as a resource for researchers working with sampling or graph problems, and as the basis of an advanced course for post-graduate students in statistics, mathematics and data science.
Автор: de Waal Название: Handbook of Statistical Data Editing and Imputation ISBN: 0470542802 ISBN-13(EAN): 9780470542804 Издательство: Wiley Рейтинг: Цена: 166790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values.
Автор: Ahmed I. Zayed; Gerhard Schmeisser Название: New Perspectives on Approximation and Sampling Theory ISBN: 3319088009 ISBN-13(EAN): 9783319088006 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Miller Название: Cognitive Interviewing Methodology ISBN: 1118383540 ISBN-13(EAN): 9781118383544 Издательство: Wiley Рейтинг: Цена: 68590.00 T Наличие на складе: Поставка под заказ.
Автор: Kish Название: Survey Sampling WCL Paper ISBN: 0471109495 ISBN-13(EAN): 9780471109495 Издательство: Wiley Рейтинг: Цена: 138280.00 T Наличие на складе: Поставка под заказ. Описание: This accessible introduction to sampling methods features many illustrations from surveys of human populations. The sampling methods described may also be used to survey animals, plants, minerals, physical products, accounts and inventories.
Автор: Tyldum Название: Applying Respondent Driven Sampling to Migrant Populations ISBN: 1137363606 ISBN-13(EAN): 9781137363602 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
Автор: Kalton, Graham, Название: Introduction to survey sampling / ISBN: 1544338562 ISBN-13(EAN): 9781544338569 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Поставка под заказ. Описание:
Sample design is key to all surveys, fundamental to data collection, and to the analysis and interpretation of the data. Introduction to Survey Sampling, Second Edition provides an authoritative and accessible source on sample design strategies and procedures that is a required reading for anyone collecting or analyzing survey data. Graham Kalton discusses different types of probability samples, stratification (pre and post), clustering, dual frames, replicates, response, base weights, design effects, and effective sample size. It is a thorough revision and update of the first edition, published more than 35 years ago. Although the concepts of probability sampling are largely the same, there have been important developments in the application of these concepts as research questions have increasingly spanned multiple disciplines, computers have become central to data collection as well as data analysis, and cell phones have become ubiquitous, but response rates have fallen, and public willingness to engage in survey research has waned. While most of the volume focuses on probability samples, there is also a chapter on nonprobability samples, which are becoming increasingly important with the rise of social media and the world wide web.
Автор: R. Singh; Naurang Singh Mangat Название: Elements of Survey Sampling ISBN: 0792340450 ISBN-13(EAN): 9780792340454 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is because in social sciences the factors that cause variation in the measurements on the study variable for the population units can not be controlled, whereas in physical sciences these factors can be controlled, at least to some extent, through proper experimental design.
Автор: Lu, Yan Lohr, Sharon L. Название: R companion for sampling ISBN: 1032135948 ISBN-13(EAN): 9781032135946 Издательство: Taylor&Francis Рейтинг: Цена: 29590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This manual contains information for using R software with the examples in the textbook Sampling: Design and Analysis, 3rd edition by Sharon L. Lohr.
Автор: R. Singh; Naurang Singh Mangat Название: Elements of Survey Sampling ISBN: 9048147034 ISBN-13(EAN): 9789048147038 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is because in social sciences the factors that cause variation in the measurements on the study variable for the population units can not be controlled, whereas in physical sciences these factors can be controlled, at least to some extent, through proper experimental design.
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