Author: Seymour Sudman
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 262

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Book Description
Discusses numerous sampling methods with emphasis on the less expensive techniques.

Author: Edward Blair
Publisher: SAGE Publications
ISBN: 1483346919
Category : Social Science
Languages : en
Pages : 191

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Book Description
Written for students and researchers who wish to understand the conceptual and practical aspects of sampling, this book is designed to be accessible without requiring advanced statistical training. It covers a wide range of topics, from the basics of sampling to special topics such as sampling rare populations, sampling organizational populations, and sampling visitors to a place. Using cases and examples to illustrate sampling principles and procedures, the book thoroughly covers the fundamentals of modern survey sampling, and addresses recent changes in the survey environment such as declining response rates, the rise of Internet surveys, the need to accommodate cell phones in telephone surveys, and emerging uses of social media and big data.

Author: Gary T. Henry
Publisher: SAGE Publications
ISBN: 1506320341
Category : Social Science
Languages : en
Pages : 150

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Book Description
Sampling is fundamental to nearly every study in the social and policy sciences, yet clear, concise guidance for practitioners and graduate students has been difficult to find. Practical Sampling provides guidance for researchers dealing with the everyday problems of sampling. Using the practical design approach Henry integrates sampling into the overall research design and explains the interrelationships between research design and sampling choices. He lays out alternatives and implications of the choices using four detailed examples to illustrate the alternatives selected and the trade-offs made by applied researchers. The author uses a narrative, conceptual approach throughout the book; mathematical presentations are limited to necessary formulas; and calculations are kept to the absolute minimum, making it an easily approachable book for any researcher, student or professional across the social sciences.

Author: Peter Tryfos
Publisher: Wiley
ISBN: 9780471047278
Category : Science
Languages : en
Pages : 456

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Book Description
An excellent introductory that uses simple numerical illustrations to provide an intuitive understanding of concepts and confirm major results. Describes various methods for sample selection and estimation including unequal probability sampling and the prediction approach. The accompanying disk contains data files for cases and two computer programs--one of which is an interactive DOS program designed to serve as a tutorial by assisting the implementation of complicated sampling formulas.

Author: Rens van de Schoot
Publisher: Routledge
ISBN: 1000760944
Category : Psychology
Languages : en
Pages : 285

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Book Description
Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics.

Author: Johnnie Daniel
Publisher: SAGE
ISBN: 1452238405
Category : Social Science
Languages : en
Pages : 321

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Book Description
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: John J. Benedetto
Publisher: Springer Science & Business Media
ISBN: 9780817640231
Category : Mathematics
Languages : en
Pages : 448

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Book Description
Sampling is a fundamental topic in the engineering and physical sciences. This new edited book focuses on recent mathematical methods and theoretical developments, as well as some current central applications of the Classical Sampling Theorem. The Classical Sampling Theorem, which originated in the 19th century, is often associated with the names of Shannon, Kotelnikov, and Whittaker; and one of the features of this book is an English translation of the pioneering work in the 1930s by Kotelnikov, a Russian engineer. Following a technical overview and Kotelnikov's article, the book includes a wide and coherent range of mathematical ideas essential for modern sampling techniques. These ideas involve wavelets and frames, complex and abstract harmonic analysis, the Fast Fourier Transform (FFT), and special functions and eigenfunction expansions. Some of the applications addressed are tomography and medical imaging. Topics and features: • Relations between wavelet theory, the uncertainty principle, and sampling • Multidimensional non-uniform sampling theory and algorithms • The analysis of oscillatory behavior through sampling • Sampling techniques in deconvolution • The FFT for non-uniformly distributed data • Filter design and sampling • Sampling of noisy data for signal reconstruction • Finite dimensional models for oversampled filter banks • Sampling problems in MRI. Engineers and mathematicians working in wavelets, signal processing, and harmonic analysis, as well as scientists and engineers working on applications as varied as medical imaging and synthetic aperture radar, will find the book to be a modern and authoritative guide to sampling theory.

Author: H. O. Hartley
Publisher: Academic Press
ISBN: 1483260887
Category : Mathematics
Languages : en
Pages : 347

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Book Description
Contributions to Survey Sampling and Applied Statistics: Papers in Honor of H. O. Hartley covers the significant advances in survey sampling, modeling, and applied statistics. This book is organized into five parts encompassing 20 chapters. The opening part looks into some aspects of statistics, sampling, randomization, predictive estimation, and internal congruency. This part also considers the properties of variance estimation for a specified multiple frame survey design and some sampling designs involving unequal probabilities of selection and robust estimation of a finite population total. The next parts present the analysis and the theoretical and practical aspects of linear models, as well as the applications of time series analysis. These topics are followed by discussions of the testing for outliers in linear regression; the robustness of location estimators; and completeness comparisons among sample sequences. The closing part deals with the properties of norm estimators in regression and geometric programming. This part also provides tables of the normal conditioned on t-distribution. This book will prove useful to mathematicians and statisticians.

Author: Timothy P. Hilton, PhD, MSW
Publisher: Springer Publishing Company
ISBN: 0826163564
Category : Social Science
Languages : en
Pages : 527

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Book Description
Praise for earlier editions: I have been using this textbook as a required reading for my research class since 2004 because I found the text’s coverage of research concepts to be in-depth, and easy to read without the technicalities. —Ziblim Abukari, PhD, MSW, Assistant Professor, Department of Social Work, Westfield State University Applied Social Research. . . is thorough, well organized, and clear, making it highly appreciated by my students. —Barry Loneck, PhD, School of Social Welfare, SUNY Albany Discover the practical side of research in human services with this easy-to-follow classic Designed for students and professionals in social work, public administration, nursing, criminal justice, and other human services fields, this text breaks down complex concepts into accessible, real-world applications. Follow along with easy-to-read language and engaging examples to uncover nonintimidating, practical tools for everyday problem-solving. Several new features, such as recorded practitioner interviews and Technology in Research boxes, clarify and reinforce the value of applied social research and innovative tools real professionals use in their work. This textbook takes readers on a journey through the entire research process, from identifying problems to collecting and analyzing data, and finally, to effectively communicating your findings. Each chapter closes with critical thinking and self-assessment questions to help evaluate students’ understanding of the Council on Social Work Education’s (CSWE) 2022 Educational Policy and Accreditation Standards (EPAS), promoting in-depth learning. Instructors will also welcome a wide array of instructor resources, including a new Instructor Manual, Sample Syllabi, Test Bank, and chapter PowerPoint presentations. New to the Eleventh Edition: Every chapter opens with an extended vignette highlighting how professionals incorporate research methods into their work. New Practitioner Profiles provide real-world insights into human services, and podcast segments with recorded interviews are included with every chapter. Chapters now include Technology in Research and Research in Practice boxes, helping readers understand the research practice and technological innovations. The new Instructor Manual includes additional discussion questions relating to the podcasts, learning activities to help students evaluate competencies, and more. Key Features: Clear explanations of the research process, from problem-solving to data analysis, simplifies learning. Explore real-life stories via practitioner interviews and vignettes in every chapter. All chapters close with bulleted main points, key terms for review, and several types of questions for evaluating competencies and self-assessment. Understand the link between research and improved services and develop logic-based research skills.

Author: Steven G. Heeringa
Publisher: CRC Press
ISBN: 1498761615
Category : Mathematics
Languages : en
Pages : 591

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Book Description
Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software. Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s updated website.