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Using Linear Programming To Design Samples For A Complex Survey
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Book Synopsis Using Linear Programming to Design Samples for a Complex Survey by : J. H. Bigelow
Download or read book Using Linear Programming to Design Samples for a Complex Survey written by J. H. Bigelow and published by Rand Corporation. This book was released on 2007 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes a method for designing a sample of Air Force personnel to participate in an online survey of cultural attitudes. The design needed to minimize the number of people asked to participate but had to be representative of a number of minorities and to sample enough people to allow for statistically meaningful comparisons. Joint samples were designed for both this survey and a health survey administered during the same time.
Download or read book Complex Surveys written by Thomas Lumley and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The 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, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.
Book Synopsis Practical Tools for Designing and Weighting Survey Samples by : Richard Valliant
Download or read book Practical Tools for Designing and Weighting Survey Samples written by Richard Valliant and published by Springer. This book was released on 2018-10-12 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This volume serves at least three audiences: (1) students of applied sampling techniques; 2) practicing survey statisticians applying concepts learned in theoretical or applied sampling courses; and (3) social scientists and other survey practitioners who design, select, and weight survey samples. The text thoroughly covers fundamental aspects of survey sampling, such as sample size calculation (with examples for both single- and multi-stage sample design) and weight computation, accompanied by software examples to facilitate implementation. Features include step-by-step instructions for calculating survey weights, extensive real-world examples and applications, and representative programming code in R, SAS, and other packages. Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition: • Details on new functions in the PracTools package • Additional machine learning methods to form weighting classes • New coverage of nonlinear optimization algorithms for sample allocation • Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors • A new chapter on nonprobability sampling • Additional examples, exercises, and updated references throughout Richard Valliant, PhD, is Research Professor Emeritus at the Institute for Social Research at the University of Michigan and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an Associate Editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology. Jill A. Dever, PhD, is Senior Research Statistician at RTI International in Washington, DC. She is a Fellow of the American Statistical Association, Associate Editor for Survey Methodology and the Journal of Official Statistics, and an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. She has served on several panels for the National Academy of Sciences and as a task force member for the American Association of Public Opinion Research’s report on nonprobability sampling. Frauke Kreuter, PhD, is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim, and Head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nürnberg, Germany. She is a Fellow of the American Statistical Association and has been Associate Editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, Public Opinion Quarterly, American Sociological Review, and the Stata Journal. She is founder of the International Program for Survey and Data Science and co-founder of the Coleridge Initiative.
Book Synopsis Survey Sampling Theory and Applications by : Raghunath Arnab
Download or read book Survey Sampling Theory and Applications written by Raghunath Arnab and published by Academic Press. This book was released on 2017-03-08 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. - Covers a wide spectrum of topics on survey sampling and statistics - Serves as an ideal text for graduate students and researchers in survey sampling theory and applications - Contains material on recent developments in survey sampling not covered in other books - Illustrates theories using numerical examples and exercises
Download or read book Sampling written by Sharon L. Lohr and published by CRC Press. This book was released on 2019-04-08 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include: More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available. An emphasis on survey design. Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis. Graphing data from surveys. Computer code using SAS® software. Online supplements containing data sets, computer programs, and additional material. Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com.
Book Synopsis General Register by : University of Michigan
Download or read book General Register written by University of Michigan and published by . This book was released on 1969 with total page 972 pages. Available in PDF, EPUB and Kindle. Book excerpt: Announcements for the following year included in some vols.
Book Synopsis University of Michigan Official Publication by :
Download or read book University of Michigan Official Publication written by and published by UM Libraries. This book was released on 1969 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Experimental Design and Analysis by : Steven R. Brown
Download or read book Experimental Design and Analysis written by Steven R. Brown and published by SAGE. This book was released on 1990 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental design is one of the most fundamental topics in social science statistics. This book introduces the reader to the elements of experimental design and analysis through careful explanations of the procedures as well as through illustrations using actual examples.
Book Synopsis Research Designs by : Paul E. Spector
Download or read book Research Designs written by Paul E. Spector and published by SAGE Publications. This book was released on 1981-09-01 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Author Paul E. Spector provides a clear introduction to the principles of experimental and non-experimental design, including single group design, pre-test, post-test designs, and factorial designs. Spector also covers hierarchical designs, multivariate designs, the Solomon four group design, panel designs, and designs with concomitant variables.
Book Synopsis Effect Size for ANOVA Designs by : Jose M. Cortina
Download or read book Effect Size for ANOVA Designs written by Jose M. Cortina and published by SAGE. This book was released on 2000 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the social sciences, the term d is used to divide the observed effect by the standard deviation of the dependent variable. This book lays out the computational methods for d with a variety of designs, including ANOVA and ANCOVA.
Book Synopsis Argument-Based Validation in Testing and Assessment by : Carol A. Chapelle
Download or read book Argument-Based Validation in Testing and Assessment written by Carol A. Chapelle and published by SAGE Publications. This book was released on 2020-01-10 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Carol A. Chapelle shows readers how to design validation research for tests of human capacities and performance. Any test that is used to make decisions about people or programs should have undergone extensive research to demonstrate that the scores are actually appropriate for their intended purpose. Argument-Based Validation in Testing and Assessment is intended to help close the gap between theory and practice, by introducing, explaining, and demonstrating how test developers can formulate the overall design for their validation research from an argument-based perspective.
Author :Food and Agriculture Organization of the United Nations Publisher :Food & Agriculture Org. ISBN 13 :9251339422 Total Pages :145 pages Book Rating :4.2/5 (513 download)
Book Synopsis Guidelines on data disaggregation for SDG Indicators using survey data by : Food and Agriculture Organization of the United Nations
Download or read book Guidelines on data disaggregation for SDG Indicators using survey data written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2021-02-05 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a member of the working group on data disaggregation, the Food and Agriculture Organization of the United Nations (FAO) has taken numerous steps towards supporting Member Countries in the production of disaggregated estimates. Within this framework, these Guidelines offer methodological and practical guidance for the production of direct and indirect disaggregated estimates of SDG indicators having surveys as their main or preferred data source. Furthermore, the publication provides tools to assess the accuracy of these estimates and presents strategies for the improvement of output quality, including Small Area Estimation methods.
Download or read book Leslie Kish written by Graham Kalton and published by John Wiley & Sons. This book was released on 2003-04-11 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leslie Kish formulated, among other things, the "margin of error," an assessment of the accuracy of opinion polls. He was elected president of the American Statistical Association; and was a fellow of the American Academy of Arts and Sciences; the American Association for the Advancement of Science; and the Royal Statistical Society of England. A co-founder of the Institute for Social Research at the University of Michigan and of the International Association of Survey Statisticians, Kish was at once a remarkable teacher, thinker, and leader in the field of survey statistics. This volume collects, for the first time, Kish's most important papers.
Download or read book Linear Regression written by and published by SAGE Publications. This book was released on 1993 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Least squares estimation.
Book Synopsis Analyzing Repeated Surveys by : Glenn Firebaugh
Download or read book Analyzing Repeated Surveys written by Glenn Firebaugh and published by SAGE. This book was released on 1997-01-17 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Repeated surveys, a technique for asking the same questions to different samples of people, allows researchers to analyse changes in society as a whole. Firebaugh shows how to separate cohort, period and age effects, and model aggregate trends.
Book Synopsis Generalized Linear Models by : Jeff Gill
Download or read book Generalized Linear Models written by Jeff Gill and published by SAGE Publications. This book was released on 2019-05-14 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Related Topics -- Classic Reading -- Final Motivation -- Endnotes -- References -- Index
Book Synopsis Linear Probability, Logit, and Probit Models by : John H. Aldrich
Download or read book Linear Probability, Logit, and Probit Models written by John H. Aldrich and published by SAGE. This book was released on 1984-11 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines three techniques which are well suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models.
