Foundations of survey sampling. This book describes the body of theory that forms the foundation of modern survey sampling. It covers a wide range of sampling methods, from simple random sampling to complex, multistage sampling plans. And it describes the math behind common sampling issues - confidence limits, sample size, design effect, ratio estimation, survey precision, etc. This book covers a lot of useful topics, but it is not for the faint of heart. The material is complex, and does require a good technical background. > Buy Now

Classic survey sampling. A classic reference on sampling techniques, this book explains how to design survey studies, execute survey research, avoid selection biases, and evaluate results. The book includes many practical examples, based on real-world surveys of human populations. In addition to superb coverage of the science of survey sampling, the book offers valuable tricks that are usually learned the hard way, on the job. > Buy Now

How to design and analyze a sample. This book provides guidance on how to tell when a sample is valid or not, and how to design and analyze many different types of sample surveys. The first part of the book covers the basic sampling designs - simple random sampling, stratified sampling, and cluster sampling. The second part covers more complex topics, including model-based approaches to sampling. This is an excellent resource, but it does come with a mild warning: The author assumes that you are familiar with basic statistics - expectations, sampling distributions, confidence intervals, linear regression, etc. > Buy Now

Survey sampling in practice. W. Edwards Deming, a pioneer in the field of statistical process control, wrote this book to make sampling techniques understandable and usable by applied researchers. The focus of the book is on solving real-world survey problems, rather than understanding theoretical survey issues. The book does require a good background in statistical methods. If you have such a background, the book can help you plan surveys, analyze survey data, and avoid common survey errors. > Buy Now

Understand the math behind surveys. This book is about the mathematics of survey sampling. Topics covered include: simple random sampling, stratified sampling, cluster sampling, and two-stage sampling. The presentation is both elementary and rigorous. It is elementary in that it requires no calculus -- only a knowledge of basic arithmetic. One warning: Even without calculus, the material is demanding. It is, after all, math. If you are intimidated by mathematical proofs, this book is not for you; but if you want to understand the math behind survey sampling, you will not be disappointed. This book really delivers. > Buy Now