Survey Sampling Principles

An introduction to the essentially mathematical principles of survey sampling as they are applied in practice. Intended for survey sampling theorists and practitioners, as a guide for those who may have to design and conduct a survey, and for those commissioning, organizing, and overseeing survey op

Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.

A succinct overview of sample surveys, this concise book provides an ideal springboard for more detailed individual enquiry, or for later more specialized formal study by students of the social sciences.A thoroughly revised version of Vic Barnett's respected 'Elements of Sampling Theory', 'Sample Survey Principles and Methods' presents the subject at an intermediate mathematical level. Designed as a core text for all students following a course on survey sampling, it is also eminently suitable for use by statisticians and other professionals.

Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to provide an outst

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.

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

V.1: Methods and applications; An elementary survey of sampling principles; Biases and nonsampling errors in survey results; Sample designs for some common sampling problems; Simple random sampling; Stratified simple random sampling; Simple one or two-stage cluster sampling; Stratified single or multi-stage cluster sampling; Control of variation in size of cluster in estimating totals, averages, or ratios; Multi-stage sampling with large primary sampling units; Estimating variances; Regression estimates, double sampling, sampling for time series, systematic sampling, and other sampling methods; Case studies - designs and results of some actual sample surveys; v.2: Theory; Fundamental theory; Derivations, proofs, and some extensions of theory for corresponding chapters of volume I; A theory for response errors.