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

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

A gentle introduction to design and analysis of survey samples. This book reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and nonresponse, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size. > 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

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