{"title":"Series: Wiley Series in Survey Methodology","description":"\u003cp\u003eThe \u003cstrong\u003eWiley Series in Survey Methodology\u003c\/strong\u003e offers insightful and rigorous explorations into the theory and practice of survey research. This collection is invaluable for readers interested in the precision and nuances of data collection, interpretation, and the broader implications of surveys across disciplines such as philosophy, psychology, business, and social sciences.\u003c\/p\u003e\n\n\u003cp\u003eWith a focus on clear methodology and innovative techniques, these works equip readers to critically engage with survey data and enhance their understanding of human behaviour, market trends, and social dynamics. This series is essential for professionals and scholars seeking a thorough grounding in the principles that underpin effective survey design and analysis.\u003c\/p\u003e","products":[{"product_id":"experimental-methods-in-survey-research-9781119083740","title":"Experimental Methods in Survey Research","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eA thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing.\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003eThis book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight into the strengths and weaknesses of the techniques used.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eExperimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment\u003c\/i\u003e addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimising interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioural, and marketing science domains.\u003c\/p\u003e\n\n\u003cp\u003eEach chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eFills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximise both internal validity and external validity.\u003c\/li\u003e\n\u003cli\u003eOffers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications.\u003c\/li\u003e\n\u003cli\u003eIs edited by internationally recognised experts in the field of survey research\/methodology and in the usage of survey-based experimentation, featuring contributions from across a variety of disciplines in the social and behavioural sciences.\u003c\/li\u003e\n\u003cli\u003ePresents advances in the field of survey experiments, as well as relevant references in each chapter for further study.\u003c\/li\u003e\n\u003cli\u003eIncludes more than 20 types of original experiments carried out within probability sample surveys.\u003c\/li\u003e\n\u003cli\u003eAddresses myriad practical and operational aspects for designing, implementing, and analysing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003ci\u003eExperimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment\u003c\/i\u003e is an ideal reference for survey researchers and practitioners in areas such as political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46854512705772,"sku":"9781119083740","price":236.99,"currency_code":"NZD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/3d9796c2b79c46741c9baf7d216b4066.jpg?v=1759269348"},{"product_id":"small-area-estimation-by-j-n-k-rao-9781118735787","title":"Small Area Estimation","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\"This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic...I believe that it has the potential to turn small area estimation...into a larger area of importance to both researchers and practitioners.\"\u003cbr\u003e\u003cspan style=\"font-style: italic; font-weight: bold;\"\u003e—Journal of the American Statistical Association\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp\u003eWritten by two experts in the field, \u003ci\u003eSmall Area Estimation, Second Edition\u003c\/i\u003e provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of \"optimal\" estimates and associated measures of variability under an assumed model, and the validation of models from the sample data.\u003c\/p\u003e\n\n\u003cp\u003eEmphasizing real data throughout, the \u003ci\u003eSecond Edition\u003c\/i\u003e maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities.\u003c\/p\u003e\n\n\u003cp\u003eIncluding information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, \u003ci\u003eSmall Area Estimation, Second Edition\u003c\/i\u003e also features:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eAdditional sections describing the use of R code data sets for readers to use when replicating applications\u003c\/li\u003e\n    \u003cli\u003eNumerous examples of SAE applications throughout each chapter, including recent applications in U.S. Federal programs\u003c\/li\u003e\n    \u003cli\u003eNew topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models\u003c\/li\u003e\n    \u003cli\u003eA discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003ci\u003eSmall Area Estimation, Second Edition\u003c\/i\u003e is an excellent reference for practising statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The \u003ci\u003eSecond Edition\u003c\/i\u003e is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46854835405036,"sku":"9781118735787","price":224.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/721bc9df85394ef0f63e46042fbaa5d2.jpg?v=1759264161"},{"product_id":"complex-surveys-by-thomas-lumley-9780470284308","title":"Complex Surveys","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cb\u003eA complete guide to principles and practices of complex survey analysis using R\u003c\/b\u003e\n\n\u003cp\u003eAs survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys for traditional analyses. \u003ci\u003eComplex Surveys\u003c\/i\u003e is a practical guide to analysing this kind of data using R, the freely available and downloadable statistical programming language. As the creator of the specific survey package for R, the author provides the ultimate presentation on how to successfully use the software for analysing data from complex surveys, utilising the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields.\u003c\/p\u003e\n\n\u003cp\u003eThe book begins with coverage of basic tools and topics within survey analysis, such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, emphasis is placed on graphics, regression modelling, and two-phase designs. Additionally, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All examples and figures in the book are generated using R, and a related website provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in complexity, and detailed appendices outline additional mathematical and computational descriptions that assist readers in comparing results across various software systems.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eComplex Surveys\u003c\/i\u003e is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It also serves as a practical reference guide for applied statisticians and practitioners in the social and health sciences who regularly use statistics in their work.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47460537598188,"sku":"9780470284308","price":184.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9780470284308-complex-surveys.jpg?v=1774949245"},{"product_id":"designing-and-conducting-business-surveys-by-ger-snijkers-9780470903049","title":"Designing and Conducting Business Surveys","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eDesigning and Conducting Business Surveys\u003c\/em\u003e provides a coherent overview of the business survey process, from start to finish. It uniquely integrates an understanding of how businesses operate, a total survey error approach to data quality that focuses specifically on business surveys, and sound project management principles.\u003c\/p\u003e\n\n\u003cp\u003eThe book brings together what is currently known about planning, designing, and conducting business surveys, with producing and disseminating statistics or other research results from the collected data. This knowledge draws upon a variety of disciplines such as survey methodology, organizational sciences, sociology, psychology, and statistical methods. The contents of the book formulate a comprehensive guide to scholarly material previously dispersed among books, journal articles, and conference papers.\u003c\/p\u003e\n\n\u003cp\u003eThis book provides guidelines that will help the reader make educated trade-off decisions that minimise survey errors, costs, and response burden, while being attentive to survey data quality. Major topics include:\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eDetermining the survey content, considering user needs, the business context, and total survey quality\u003c\/li\u003e\n\u003cli\u003ePlanning the survey as a project\u003c\/li\u003e\n\u003cli\u003eSampling frames, procedures, and methods\u003c\/li\u003e\n\u003cli\u003eQuestionnaire design and testing for self-administered paper, web, and mixed-mode surveys\u003c\/li\u003e\n\u003cli\u003eSurvey communication design to obtain responses and facilitate the business response process\u003c\/li\u003e\n\u003cli\u003eConducting and managing the survey using paradata and project management tools\u003c\/li\u003e\n\u003cli\u003eData processing, including capture, editing, and imputation, and dissemination of statistical outputs\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cem\u003eDesigning and Conducting Business Surveys\u003c\/em\u003e is an indispensable resource for anyone involved in designing and\/or conducting business or organisational surveys at statistical institutes, central banks, survey organizations, etc.; producing statistics or other research results from business surveys at universities, research organizations, etc.; or using data produced from business surveys. The book also lays a foundation for new areas of research in business surveys.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47460683874540,"sku":"9780470903049","price":192.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9780470903049-designing-and-conducting-business-surveys.jpg?v=1774950691"},{"product_id":"sampling-of-populations-by-paul-s-levy-9780470040072","title":"Sampling of Populations","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cb\u003eA trusted classic on the key methods in population sampling—now in a modernised and expanded new edition\u003c\/b\u003e\n\n\u003cp\u003e\u003ci\u003eSampling of Populations\u003c\/i\u003e, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methods for survey design and analysis, while also exploring techniques that have developed over the past decade.\u003c\/p\u003e\n\n\u003cp\u003eThe \u003ci\u003eFourth Edition\u003c\/i\u003e successfully guides the reader through the basic concepts and procedures that accompany real-world sample surveys, such as sampling designs, problems of missing data, statistical analysis of multistage sampling data, and nonresponse and poststratification adjustment procedures. Rather than employ a heavily mathematical approach, the authors present illustrative examples that demonstrate the rationale behind common steps in the sampling process, from creating effective surveys to analysing collected data. Along with established methods, modern topics are treated through the book's new features, which include:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eA new chapter on telephone sampling, with coverage of declining response rates, the creation of \"do not call\" lists, and the growing use of cellular phones\u003c\/li\u003e\n  \u003cli\u003eA new chapter on sample weighting that focuses on adjustments to weight for nonresponse, frame deficiencies, and the effects of estimator instability\u003c\/li\u003e\n  \u003cli\u003eAn updated discussion of sample survey data analysis that includes analytic procedures for estimation and hypothesis testing\u003c\/li\u003e\n  \u003cli\u003eA new section on Chromy's widely used method of taking probability proportional to size samples with minimum replacement of primary sampling units\u003c\/li\u003e\n  \u003cli\u003eAn expanded index with references on the latest research in the field\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eAll of the book's examples and exercises can be easily worked out using various software packages including SAS, STATA, and SUDAAN, and an extensive FTP site contains additional data sets. With its comprehensive presentation and wealth of relevant examples, \u003ci\u003eSampling of Populations\u003c\/i\u003e, Fourth Edition is an ideal book for courses on survey sampling at the upper-undergraduate and graduate levels. It is also a valuable reference for practising statisticians who would like to refresh their knowledge of sampling techniques.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47471499444460,"sku":"9780470040072","price":364.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9780470040072-sampling-of-populations.jpg?v=1775245253"}],"url":"https:\/\/bookhero.co.nz\/collections\/series-wiley-series-in-survey-methodology.oembed","provider":"Book Hero","version":"1.0","type":"link"}